Shaped article production method, 3D printing material production system, shaping system, and program
Patent Information
- Application Number
- PCT/JP2024/032460
- Authority / Receiving Office
- WO · WO
- Patent Type
- Applications
- Current Assignee / Owner
- Priority Date
- 2024-01-31
- Filing Date
- 2024-09-11
- Publication Date
- 2025-03-20
Smart Images

Figure JP2024032460_20032025_PF_FP_ABST
Abstract
Description
Method for manufacturing a modeled object, 3D printing material manufacturing system, modeling system and program
[0001] The present invention relates to a method for manufacturing a 3D object, a manufacturing system for a 3D printing material, a modeling system, and a program.
[0002] In recent years, methods for forming objects using hydraulic materials such as cement and gypsum and additive manufacturing devices have been proposed. For example, Patent Document 1 discloses an additive manufacturing method that can stably produce objects with delicate and diverse designs even when the hydration of a cementitious mixture progresses and the fluidity of the mixture decreases.
[0003] On the other hand, there is also known a technique for varying the mortar production speed depending on the scale of the construction work to be applied. For example, Patent Document 2 discloses a mortar kneading device in which a mortar kneading shaft is rotationally driven at a variable speed.
[0004] In addition, various efforts have been made regarding the control of equipment used in additive manufacturing. For example, Patent Document 3 discloses an additive manufacturing system that uses a predetermined learning model to reduce the labor required to build a layered structure. Furthermore, Patent Document 4 discloses a three-dimensional modeling system that uses a detection device that detects information correlated with the nozzle discharge rate and adjusts the screw rotation speed to keep the nozzle discharge rate constant.
[0005] JP 2018-122539 A JP 2007-331265 A JP 2021-130288 A JP 2023-23622 A
[0006] However, in the field of 3D printing as described in Patent Document 1, there is still a demand for technological development to stably obtain large-sized objects. Specifically, since a large amount of modeling material (3D printing material) is required when producing a large object, it is important to stably prepare this modeling material during the process. On the other hand, 3D printing requires strict management of the materials used for modeling, and even prior art such as the aforementioned Patent Document 2 still has issues with stabilizing the quality of modeling materials in the 3D printing field.
[0007] In view of the above circumstances, the present invention provides a method for producing a shaped object that can stably produce a shaped object.
[0008] According to one aspect of the present invention, there is provided a method for manufacturing a shaped object using a 3D printing material formed by mixing multiple types of raw materials, the method comprising an acquisition step, an adjustment step, and a printing step, in which the acquisition step acquires one or more parameters related to the physical properties of the 3D printing material during and / or after mixing of the 3D printing material, the adjustment step adjusts the composition of at least one of the multiple types of raw materials of the 3D printing material based on the acquired one or more parameters, and the printing step prints the 3D printing material whose composition has been adjusted onto a predetermined area.
[0009] According to the above aspect, a method for manufacturing a shaped object, which can stably obtain a shaped object, is provided.
[0010] 1 is a diagram showing the overall configuration of a manufacturing system 100. FIG. 2 is a diagram showing the overall configuration of a modeling system 200. FIG. 3 is a diagram showing the hardware configuration of an information processing device 1. FIG. 4 is a functional block diagram showing the functions of the information processing device 1. FIG. 5 is an activity diagram showing the flow of information processing using the modeling system 200, etc. FIG. 6 is a diagram showing the overall configuration of a modeling system 250. FIG. 7 is an activity diagram showing the flow of information processing performed by the information processing device 1. FIG. 8 is a diagram showing the overall configuration of a modeling system 300 in a third embodiment. FIG. 9 is a diagram showing an overview of a 3D printer 3 in the third embodiment. FIG. 10 is an activity diagram showing the flow of information processing using the modeling system 300, etc. FIG. 11 is an activity diagram showing the flow of information processing in a fourth embodiment.
[0011] Hereinafter, embodiments of the present invention will be described. Note that various features shown in the following embodiments can be combined with each other.
[0012] [First embodiment: manufacturing method of a shaped object] That is, the manufacturing method according to this embodiment is as follows: A manufacturing method of a shaped object using a 3D printing material obtained by mixing multiple types of raw materials, comprising: an acquisition step, an adjustment step, and a printing step, wherein the acquisition step acquires one or more parameters related to the physical properties of the 3D printing material during and / or after mixing of the 3D printing material, the adjustment step adjusts an aspect of the blending of at least one of the multiple types of raw materials of the 3D printing material based on the one or more acquired parameters, and the printing step prints the 3D printing material whose aspect has been adjusted onto a predetermined area.
[0013] Incidentally, a program for realizing the software appearing in one embodiment may be provided as a non-transitory computer-readable recording medium, or may be provided so as to be downloadable from an external server, or may be provided so that the program is started on an external computer and its functions are realized on a client terminal (so-called cloud computing).
[0014] Furthermore, various information processing according to an embodiment may realize input and output corresponding to the input. Here, the form of information referenced in such information processing (hereinafter referred to as reference information) is not limited as long as an output is obtained as a result of the input. The reference information may be, for example, rule-based information such as a database, a lookup table, or a predetermined function (including a decision formula such as a regression formula constructed using a statistical method), a trained model that has previously trained the correlation between input and output, or a large-scale language model that can output a desired result by inputting a prompt.
[0015] In one embodiment, the term "unit" may include, for example, a combination of hardware resources implemented by a circuit in the broad sense and software information processing that can be specifically realized by these hardware resources. In one embodiment, various information is handled, and this information is represented, for example, by physical values of signal values representing voltage or current, high or low signal values as a binary bit set consisting of 0 or 1, or quantum superposition (so-called quantum bits), and communication and calculations can be performed on the circuit in the broad sense.
[0016] Furthermore, a circuit in a broad sense is a circuit realized by at least an appropriate combination of a circuit, circuitry, a processor, a memory, etc. The processor may be a general-purpose processor or a dedicated circuit. That is, it includes application specific integrated circuits (ASICs), programmable logic devices (e.g., simple programmable logic devices (SPLDs), complex programmable logic devices (CPLDs), and field programmable gate arrays (FPGAs)), etc.
[0017] 1. Overall Configuration In this section, the overall configuration of the modeling system of this embodiment will be described. This modeling system is capable of executing the above-described method for manufacturing a modeled object. FIG. 1 is a diagram showing the overall configuration of a manufacturing system 100. FIG. 2 is a diagram showing the overall configuration of a modeling system 200.
[0018] The manufacturing system 100 shown in Fig. 1 includes an information processing device 1 and a printing material manufacturing device 2. Here, the printing material manufacturing device 2 manufactures 3D printing materials, and is configured to be able to communicate with the information processing device 1 and to be able to send and receive various information. Note that the communication lines used in this communication include the Internet, wireless, etc., and mediate the exchange of data between devices connected to the line.
[0019] 2 includes the manufacturing system 100 and a 3D printer 3. That is, the manufacturing system 200 includes the 3D printing material manufacturing system 100 and the 3D printer 3 configured to be able to print the 3D printing material manufactured by the manufacturing system 100, and is configured to be able to manufacture a predetermined model. The 3D printer 3 shown in FIG. 2 may also be configured to be able to communicate with the information processing device 1.
[0020] Note that the systems exemplified as the manufacturing system 100 and the modeling system 200 are composed of one or more devices or components. Therefore, the information processing device 1 alone can also be referred to as various systems. Below, elements that can constitute the manufacturing system 100 and the modeling system 200 will be described.
[0021] [Information Processing Device 1] The information processing device 1 is a device that performs various types of information processing in the manufacturing system 100, etc. Fig. 3 is a diagram showing the hardware configuration of the information processing device 1. The information processing device 1 has a communication unit 11, a storage unit 12, a control unit 13, a display unit 14, and an input unit 15, and is configured by electrically connecting these units via a communication bus 10. Each unit provided in the information processing device 1 will be described below.
[0022] (Communication Unit 11) The communication unit 11 is configured to be able to transmit various electrical signals from the information processing device 1 to external components. The communication unit 11 is also configured to be able to receive various electrical signals from the external components to the information processing device 1. Note that the communication unit 11 may have a network communication function, which allows various pieces of information to be communicated between the information processing device 1 and external devices via a communication line.
[0023] (Storage Unit 12) The storage unit 12 stores various pieces of information defined above. This can be implemented, for example, as a storage device such as a solid state drive (SSD) that stores various programs and the like related to the information processing device 1 executed by the control unit 13, or as a memory such as a random access memory (RAM) that stores temporarily required information (arguments, arrays, etc.) related to the program calculations. The storage unit 12 stores various programs, variables, etc. related to the information processing device 1 executed by the control unit 13.
[0024] (Control unit 13) The control unit 13 is, for example, a central processing unit (CPU) not shown. The control unit 13 realizes various functions related to the information processing device 1 by reading out predetermined programs stored in the storage unit 12. In other words, information processing by software stored in the storage unit 12 is specifically realized by the control unit 13, which is an example of hardware, and can be executed as each functional unit included in the control unit 13. These will be described in detail later. Note that the control unit 13 is not limited to being a single unit, and multiple control units 13 may be provided for each function. A combination of these may also be used.
[0025] (Display Unit 14) The display unit 14 may be, for example, included in the housing of the information processing device 1 or may be externally attached. The display unit 14 displays a graphical user interface (GUI) screen that can be operated by the user. This is preferably implemented by selectively using display devices such as a CRT display, a liquid crystal display, an organic EL display, and a plasma display depending on the type of the information processing device 1.
[0026] (Input Unit 15) The input unit 15 may be included in the housing of the information processing device 1 or may be externally attached. For example, the input unit 15 may be implemented as a touch panel integrated with the display unit 14. The touch panel allows the user to input tapping, swiping, and the like. Of course, a switch button, a mouse, a QWERTY keyboard, or the like may be used instead of a touch panel. That is, the input unit 15 accepts an operation input made by the user. The input is transferred as a command signal to the control unit 13 via the communication bus 10, and the control unit 13 can execute predetermined control or calculation as necessary.
[0027] [Printing Material Manufacturing Apparatus 2] The printing material manufacturing apparatus 2 may constitute a part of the 3D printing material manufacturing system 100. While the printing material manufacturing apparatus 2 may have various elements, in this embodiment it is described as an apparatus equipped with a predetermined mixing tank 21. The mixing tank 21 may include an agitator 211 configured to agitate the contents of the mixing tank 21, a motor 212 for rotating the agitator 211, and input units (input units 213, 214) configured to allow raw materials to be input into the mixing tank 21. Here, the input unit 213 is configured to allow input of a first raw material that can be mixed with another raw material (second raw material) to provide a 3D printing material. Specifically, in the printing material manufacturing apparatus 2 shown in FIG. 1 and the like, the first raw material stored in the storage unit 22 is configured to be input into the mixing tank 21 in response to the opening and closing of the valve V2. The first raw material is, for example, a powder, but may be any other form of raw material. A second raw material that provides a 3D printing material when mixed can be introduced from the introduction unit 214. In this embodiment, this second raw material is shown as water W, and the water W is introduced into the mixing tank 21 in response to the opening and closing of the valve V1.
[0028] The printing material manufacturing apparatus 2 may also include an unloading unit 23 configured to be able to unload the contents of the mixing tank 21 (the 3D printing material mixed in the mixing tank 21). This unloading operation can be achieved by opening and closing a valve V3. The printing material manufacturing apparatus 2 also includes a pump P1 for sending the manufactured 3D printing material to the outside. As shown in FIG. 2 , the manufactured 3D printing material is typically sent to a 3D printer 3 and subjected to a printing process.
[0029] 1 and 2 or may have additional configurations depending on the raw materials used and the properties of the 3D printing material to be produced. For example, when powder is used as the raw material, a screw may be used to send the powder to the mixing tank 21. In addition, the printing material production apparatus 2 may be provided with various sensors for managing the temperature and pressure within the apparatus.
[0030] Here, the 3D printing material produced by the printing material production apparatus 2 will be described. As mentioned above, the 3D printing material in this embodiment is formed by mixing multiple raw materials. In the printing material production apparatus 2 shown in FIG. 1, the multiple raw materials are a mixture of a first raw material (powder) and water W. However, more specifically, the multiple raw materials that can provide the 3D printing material may include a hydraulic material and water. Such hydraulic materials harden when water is added (the viscosity of the material changes). However, according to the production system 100 of this embodiment, the blending of the raw materials is adjusted, which results in more stable properties as a 3D printing material. Note that in addition to or instead of water W in the above-described embodiment in which the first raw material (powder) and water W are mixed, a liquid admixture (liquid admixture) may be mixed with the first raw material (powder). That is, the multiple raw materials of the 3D printing material in this embodiment may include a hydraulic material, water and / or a liquid admixture.
[0031] The 3D printing material is not limited to the above and may be various materials. As an exemplary embodiment, the 3D printing material may be a modeling material that mineralizes via a hydration reaction, a polymerization reaction, or firing. More typical examples include mortar, concrete, or a ceramic material. From the perspective of stabilizing the manufacturing process, the 3D printing material may be, for example, a mortar containing a combination of materials selected from the following: a binder (A), a fine aggregate (B), an admixture (C), and a fiber material (D).
[0032] Binder (A) The 3D printing material of this embodiment may contain a binder (A). Here, binder (A) is a general term for inorganic materials that contribute to the development of strength in mortar or concrete. Note that such binder (A) forms predetermined crystals (minerals) through a hydration reaction (i.e., the binder (A) described below corresponds to a hydraulic material).
[0033] Here, the binder (A) may contain a cement component (A1) selected from the group consisting of ordinary Portland cement, moderate-heat Portland cement, low-heat Portland cement, high-early-strength Portland cement, sulfate-resistant Portland cement, blast-furnace cement, and fly ash cement.
[0034] In addition, the binder (A) may contain an admixture (A2). This admixture (A2) may contain a component selected from the group consisting of fly ash, blast furnace slag (fine) powder, limestone (fine) powder, stone powder, silica fume, and an expansive material (lime composite expansive material). These admixtures (A2) are typically blended in combination with the aforementioned cement component (A1), but the binder (A) may also consist solely of these admixtures (A2).
[0035] These binders (A) may be used singly or in combination of two or more. When two or more binders are used in combination, binders having different particle sizes may be mixed.
[0036] Fine Aggregate (B) The 3D printing material of this embodiment may contain fine aggregate (B). In this embodiment, fine aggregate (B) refers to aggregate that passes entirely through a 10 mm mesh sieve and 85% or more by mass through a 5 mm mesh sieve (JIS A 0203:2014).
[0037] The type of fine aggregate (B) may be appropriately determined depending on the application, etc. As an example, the fine aggregate (B) may contain one or more components selected from the group consisting of sand, mountain sand, land sand, sea sand, silica sand, crushed sand, and slag fine aggregate. These fine aggregates (B) may be used alone or in combination of two or more. When two or more types are used in combination, fine aggregates with different particle sizes may be mixed.
[0038] Thixotropic Admixture (C) The 3D printing material of this embodiment may contain a thixotropic admixture (C). This admixture (C) can contribute to improving the thixotropy of concrete or mortar. Note that the admixture (C) does not fall under the category of the binder (A) or fine aggregate (B) described above, but refers to any agent that contributes to improving the thixotropy of the resulting concrete or mortar.
[0039] This admixture (C) may be appropriately selected from known materials capable of imparting the above-mentioned properties. While not necessarily limited thereto, the admixture (C) may be an organic compound having a polar group in its chemical structure. The polar group may be a monovalent group having a heteroatom, such as a hydroxyl group, a carboxyl group, a hydrosulfur group, or an amino group, or a divalent bond (linking group) having a heteroatom, such as a urethane bond, an amide bond, a urea bond, an ester bond, a carbonyl bond, an ether bond, or a thioester bond. These polar groups allow the organic compound to exhibit intermolecular interactions, further imparting thixotropy to the molding material. Meanwhile, the admixture (C) may be an inorganic compound such as a silicate (layered silicate) or clay. The admixture (C) may also be a low-molecular-weight compound (e.g., having a molecular weight of 1000 or less) or a high-molecular-weight compound (e.g., having a molecular weight of more than 1000). As an example, the thixotropic admixture (C) may include one or more components selected from the group consisting of cellulose, modified cellulose, minerals, nanofibers, urethane, xanthan gum, diutan gum, starch ether, guar gum, polyacrylamide, carrageenan gum, agar, protein, and latex.
[0040] Examples of modified cellulose that can be used as the admixture (C) of this embodiment include carboxymethyl cellulose, methyl cellulose, hydroxypropyl methyl cellulose, hydroxyethyl cellulose, and hydroxypropyl cellulose. Although cellulose and the modified celluloses described above are usually in a fibrous form, they are highly effective in imparting thixotropy, and therefore are treated as the admixture (C) in this specification.
[0041] Examples of minerals that can be used as the admixture (C) of this embodiment include clay minerals such as attapulgite, bentonite, montmorillonite, kaolin, and sepiolite.
[0042] Examples of nanofibers that can be used as the admixture (C) of this embodiment include carbon nanofibers, cellulose nanofibers, etc. Although these nanofibers are usually in a fibrous form, they are highly effective in imparting thixotropy, and therefore are treated as the admixture (C) in this specification.
[0043] Examples of synthetic fibers that can be used as the admixture (C) of this embodiment include polyolefin compounds such as polypropylene and polyethylene, polyvinyl alcohol, and polyvinyl acetate.
[0044] Examples of urethanes that can be used as the admixture (C) of this embodiment include various urethane-based thickeners used as urethane-based associative thickeners. Examples of such urethane-based associative thickeners include "Thixostar" manufactured by Japan Materials Technology Co., Ltd., the "ADEKA NOL" series manufactured by ADEKA Corporation, and the "SN Thickener" series manufactured by San Nopco Ltd.
[0045] Examples of proteins that can be used as the admixture (C) of this embodiment include amino acid condensates having a predetermined molecular weight.
[0046] Examples of latexes that can be used as the admixture (C) of this embodiment include chloroprene rubber latex and acrylic latex.
[0047] Fiber Material (D) The 3D printing material of this embodiment may also contain a fiber material (D). By appropriately incorporating this fiber material (D), it is possible to contribute to improving the strength of the resulting shaped object and to achieve a balance between lamination properties and pumpability. Note that the fiber material (D) in this specification does not fall under the category of the thickener (C).
[0048] The type of the fibrous material (D) can be appropriately selected. For example, the fibrous material (D) may include at least one fibrous material selected from the group consisting of metal fibers, carbon fibers, aramid fibers, PP (polypropylene) fibers, PVA (polyvinyl acetate) fibers, PE (polyethylene) fibers, glass fibers, nylon fibers, and PBO (polybenzoxazole) fibers.
[0049] In addition, the fiber material (D) may include a fiber material of natural origin. Examples of such a fiber material of natural origin include fiber materials derived from plants and fiber materials derived from animals. Here, "plants" in the fiber material of plant origin include bamboo grass, bamboo, hemp, rice, wheat, etc., which can provide fiber materials industrially. Furthermore, "animals" in the fiber material of animal origin typically include sheep, etc.
[0050] The fiber length (average fiber length) of the fiber material (D) is preferably 1 to 30 mm, more preferably 3 to 25 mm, and most preferably 5 to 20 mm. The content of the fiber material (D) in the molding material can be appropriately set depending on the application. When the molding material contains a binder (A) and a fine aggregate (B), the content of the fiber material (D) may be in the range of 0.5 to 2.5 parts by volume, 0.6 to 2.2 parts by volume, or 0.7 to 1.9 parts by volume, where the total of the binder (A) and the fine aggregate (B) is 100 parts by volume. By setting the content in such a range, a good balance can be achieved between the hardening properties of the molding material and the improvement of the mechanical properties of the resulting molded object.
[0051] Other Components The 3D printing material of this embodiment may contain components other than the above-described components (A) to (D) in order to impart desired properties. Examples of other components include rheology modifiers (including water-reducing agents, dispersants, and superplasticizers, and referring to components other than the aforementioned component (C)), antifoaming agents, set retarders, gas foaming agents, set modifiers, air-enhancing agents, water-absorbing polymers, rust inhibitors, water repellents, antibacterial agents, colorants, antifreeze agents, anion exchangers such as hydrotalcite, moisturizers such as urea, and various aggregates. The blending amounts of these components are optional. Components that can be included in the 3D printing material of this embodiment include the various chemical admixtures listed in "Concrete Engineering, Vol. 51, No. 1, pp. 40-44, 2013."
[0052] The 3D printing material of this embodiment preferably contains a rheology modifier. By appropriately incorporating this rheology modifier, the 3D printing material can achieve a balance between lamination and pumpability. In one embodiment, the rheology modifier may be a polycarboxylic acid-based rheology modifier, a melamine-based rheology modifier, a naphthalene-based rheology modifier, a lignin sulfonate-based rheology modifier, or a gluconate-based rheology modifier. The amount of these rheology modifiers is preferably 0.01 to 3 parts by mass, more preferably 0.03 to 1 part by mass, and most preferably 0.05 to 0.5 parts by mass, based on 100 parts by mass of the total mass of the binder (A) and the fine aggregate (B). This rheology modifier may also be referred to as a "water-reducing agent," a "dispersant," or a "fluidizer."
[0053] In addition, when obtaining mortar, water is usually blended in addition to the above-mentioned components (A) to (D). Furthermore, when concrete is used as the 3D printing material, coarse aggregate or the like may be further added. Here, in this embodiment, a raw material other than water may be set as the first raw material as a premix material. That is, the mixing tank 21 may be configured to mix the first raw material with water to produce a predetermined 3D printing material.
[0054] The 3D printing material may be a material that is mineralized by a polymerization reaction. A typical example of such a material that is mineralized by a polymerization reaction is geopolymer concrete. That is, the 3D printing material of this embodiment may be a combination of an amorphous material and an alkaline solution. Examples of amorphous materials include fly ash and blast furnace slag. Furthermore, materials that are mineralized by a polymerization reaction may also include various components that can be contained in the mortar described above.
[0055] The 3D printing material may also be a ceramic material. Such ceramic materials are typically mineralized by firing. The ceramic material may be appropriately selected from known materials that can be used in additive manufacturing processes, such as zirconia, hydroxyapatite, aluminum nitride, alumina-reinforced zirconia, alumina, silicon nitride, cordierite, etc. Such ceramic materials may also contain various components that can be contained in the mortar described above.
[0056] Although the above describes a system for mixing water and a premix material that is a hydraulic material, in another exemplary embodiment, a liquid admixture may be set as part of the raw materials to be blended. Such a liquid admixture is also configured to be able to be added from an input unit used in the printing material manufacturing device 2, such as the input unit 214, and can be added to the mixing tank 21 as appropriate by opening and closing the valve.
[0057] The liquid admixture here refers to a component that is liquid at room temperature and does not fall under the category of water. Typically, this refers to the aforementioned "component (C)" and "other components" that are liquid at room temperature. In the present specification, water and such liquid admixtures may collectively be referred to as "liquid raw materials."
[0058] [3D Printer 3] The 3D printer 3 is a type of industrial robot that uses 3D data created by a computer as a design drawing and layers 3D printing materials to create a three-dimensional object. The 3D printer 3 can be a commercially available product or a known device. More specifically, various shapes can be created by extruding 3D printing materials (modeling materials) from a nozzle provided on the 3D printer 3.
[0059] Note that, when producing such various types of shaped objects using the 3D printer 3, for example, the following process is performed. That is, first, the overall shape of the shaped object is designed in advance. Then, code for controlling the 3D printer 3 to print the designed shaped object is designed in advance. Examples of the code format include STL, G-code, OBJ, 3MF, VRML, 3DS, and AMF. Note that in this embodiment, the code designed in this manner may include information (composition, specific gravity, hardening speed, etc.) related to the 3D printing material (modeling material). Examples of code formats that include such material information include 3MF and AMF. By simulating the shaped object to be printed using the designed code, the accuracy of the shape of the actually produced shaped object can be improved.
[0060] In addition, during modeling, code can be added, edited, etc. in a post-process according to the environment or conditions of the modeling site. Furthermore, the code (for example, input information other than the path, such as the modeling speed) may be adjusted in real time during modeling.
[0061] 2. Functional Configuration In this section, the functional configuration of this embodiment will be described. Fig. 4 is a functional block diagram showing the functions of the information processing device 1. As described above, information processing by software (stored in the storage unit 12) is specifically realized by hardware (control unit 13), and can be executed as each functional unit included in the control unit 13.
[0062] Specifically, the information processing device 1 (control unit 13) may include, as its functional units, an acquisition unit 131, an adjustment unit 132, a removal unit 133, a printing unit 134, a storage management unit 135, a display control unit 136, a reception unit 137, an estimation unit 138, a transport unit control unit 139, and a notification unit 130. Steps that can be executed by each functional unit will be described below. Note that these functional units may be added or omitted as appropriate depending on the application to which the information processing device 1 is applied.
[0063] (Acquisition unit 131) The acquisition unit 131 is configured to be able to execute an acquisition step. In the acquisition step, the acquisition unit 131 acquires various parameters. Typically, the acquisition unit 131 acquires one or more parameters related to the physical properties of the 3D printing material during and / or after mixing of the 3D printing material. The acquisition unit 131 also acquires various parameters within the modeling system during and / or after mixing of the 3D printing material. Note that the various parameters here include, for example, parameters related to the operation of the equipment. More specific processing will be described later.
[0064] (Adjustment Unit 132) The adjustment unit 132 is configured to be able to execute an adjustment step. In the adjustment step, the adjustment unit 132 adjusts the blending aspect of at least one of the multiple raw materials of the 3D printing material based on one or more acquired parameters. More specific processing will be described later.
[0065] (Removal unit 133) The removal unit 133 is configured to be able to execute a removal step. In the removal step, the removal unit 133 performs a process of removing the mixed 3D printing material. In a specific example, the removal unit 133 controls the valve V3 of the printing material manufacturing apparatus 2, and performs a process of removing the mixed 3D printing material to a predetermined area (removal unit 23, etc.) inside or outside the apparatus.
[0066] (Printing unit 134) The printing unit 134 is configured to be able to execute a printing step. In the printing step, the printing unit 134 performs printing on a predetermined area using the 3D printer 3. Typically, the printing unit 134 controls the 3D printer 3 to print on the predetermined area. Note that in this embodiment, the 3D printing material, the blending aspect of which has been adjusted by the adjustment unit 132, is printed on the predetermined area.
[0067] (Memory management unit 135) The memory management unit 135 is configured to be able to execute a memory management step. In the memory management step, the memory management unit 135 is configured to manage various pieces of information to be stored that are related to the processes of this embodiment, etc. Typically, the memory management unit 135 is configured to store information handled by the information processing device 1 in a memory area. This memory area is exemplified by the memory unit 12 of the information processing device 1 or the memory units of various devices and terminals, but this memory area does not necessarily have to be within the system shown in Figures 1 and 2, and the memory management unit 135 can also manage various pieces of information to be stored in an external storage device, etc.
[0068] (Display control unit 136) The display control unit 136 is configured to be able to execute a display control step. In the display control step, the display control unit 136 creates various display information and controls it so that it is visible to a user, etc. Note that the display information may be visual information itself, such as a screen, an image, an icon, or text, that is generated in a manner that is visible to a user, or may be rendering information for displaying visual information, such as a screen, an image, an icon, or text, on various devices or terminals.
[0069] (Accepting Unit 137) The accepting unit 137 is configured to be able to execute a accepting step. In the accepting step, the accepting unit 137 accepts one or more parameters related to 3D printing. More specific processing will be described later.
[0070] (Estimation unit 138) The estimation unit 138 is configured to be able to execute an estimation step. In the estimation step, the estimation unit 138 estimates the quality of the object based on the one or more parameters received in the reception step and the second reference information. Here, the second reference information is information that associates at least one or more parameters related to 3D printing with the quality of the object. More specific processing will be described later.
[0071] (Transfer unit control unit 139) The transfer unit control unit 139 is configured to be able to execute a transfer unit control step. In the transfer unit control step, the transfer unit control unit 139 controls the transfer unit provided in the modeling system of this embodiment. More typically, the transfer unit control unit 139 controls the operation of a first transfer unit and / or a second transfer unit (described below) based on one or more parameters acquired by the acquisition unit 131. More specific processing will be described later.
[0072] (Notification unit 130) The notification unit 130 is configured to be able to execute a notification step. In the notification step, the notification unit 130 issues a warning when one or more parameters acquired by the acquisition unit 131 exceed a predetermined threshold. More specific processing will be described later.
[0073] 3. Details of Information Processing In Section 3, an information processing method executed by the modeling system 200 etc. will be described with reference to an activity diagram etc. Fig. 5 is an activity diagram showing the flow of information processing using the modeling system 200 etc.
[0074] In this embodiment, first, the acquisition unit 131 acquires one or more parameters related to the physical properties of the 3D printing material during and / or after mixing (activity A101).
[0075] The parameters acquired in activity A101 may be of various types. That is, the parameters acquired by the acquisition unit 131 in the acquisition step may be, for example, various parameters such as the viscosity, temperature, composition ratio, electrical properties, specific gravity, and optical properties of the 3D printing material. However, it is preferable to acquire one or more parameters related to the viscosity and / or temperature of the 3D printing material in the acquisition step. Acquiring such parameters makes it easier to stably perform the subsequent adjustment step. Note that this acquisition step can be achieved by acquiring various parameters using, for example, various sensors and devices provided in the printing material production apparatus 2.
[0076] Note that an extraction step may be performed prior to the acquisition step. In this extraction step, a process of extracting the mixed 3D printing material is performed. In a typical example, this extraction step is achieved by transferring the mixed 3D printing material from the mixing tank 21 of the printing material manufacturing apparatus 2 to the extraction unit 23. In this case, the acquisition step acquires one or more parameters related to the physical properties of the 3D printing material extracted in the extraction step. That is, the acquisition step is performed by acquiring the parameters from the inside of the extraction unit 23 or from equipment provided in the extraction unit 23. As an example, a sensor capable of detecting temperature, etc. may be provided in the extraction unit 23, and the acquisition unit 131 may acquire parameters such as temperature from the sensor. Furthermore, the acquisition unit 131 may be configured to acquire parameters such as the viscosity of the 3D printing material based on the load, etc., of the pump P1 provided in the extraction unit 23.
[0077] After the acquisition unit 131 acquires the parameters in this manner, the adjustment unit 132 adjusts the composition of at least one of the multiple raw materials of the 3D printing material based on the acquired one or more parameters (activity A102).
[0078] This activity A102 is executed, for example, by generating various signals based on parameters acquired by the acquisition unit 131, and using these signals to perform various controls related to the printing material manufacturing apparatus 2 or equipment related to the printing material manufacturing apparatus 2.
[0079] Such adjustment may be performed in various ways, but typically, the adjustment step involves controlling the composition of at least one of the multiple raw materials based on one or more acquired parameters and first reference information regarding the pre-set 3D printing material.
[0080] That is, the information processing device 1 may store, in advance, physical property values and the like of the 3D printing material to be used in the printing step as first reference information, and by matching the acquired parameters with the first reference information, it can calculate what adjustments should be made to the 3D printing material related to the acquired parameters. Furthermore, the information processing device 1 may be configured to generate a predetermined signal based on the calculation results and control various devices. The first reference information here may include a lookup table or database, which is rule-based reference information. Furthermore, the first reference information may be a trained model that associates one or more parameters with the physical properties of the 3D printing material (or the formulation conditions for achieving those properties).
[0081] As a typical example, if the viscosity parameter acquired by the acquisition unit 131 is higher than the viscosity stored as the first reference information, the blending of the raw materials may be controlled to lower the viscosity. Various blending aspects may be considered. For example, the blending aspect may include adjusting at least one of the blending amount, blending speed, blending temperature, and blending position of the raw materials. That is, in the above example, the valve V1 may be opened and water W may be introduced into the mixing tank 21 from the introduction unit 214 to reduce the viscosity of the 3D printing material. Other adjustments may include adjusting the raw material introduction speed, adjusting the temperature (powder and water temperature) when introducing the raw materials, and adjusting the blending position (e.g., which position in the mixing tank 21 the raw materials are introduced from, or which tank the raw materials are introduced into if the mixing tank 21 is divided into multiple tanks) depending on the state of the 3D printing material.
[0082] Other examples of the parameters acquired in the acquisition step and adjusted in the adjustment step include the following.
[0083] That is, the acquisition unit 131 may perform a process of acquiring one or more parameters related to the physical properties of the 3D printing material based on the load imposed by the agitator blade 211 when the contents of the mixing tank 21 are agitated. The adjustment unit 132 may also perform a process of adjusting the manner in which at least one of the raw materials is introduced from the introduction unit in response to the acquired parameters. In other words, in such an example, the viscosity (or a parameter similar thereto) of the 3D printing material can be acquired from the load imposed by the agitator blade 211. Note that the load may be estimated based on the torque value or power consumption during agitation. Furthermore, the properties of the 3D printing material in the mixing tank 21 can be adjusted by opening and closing the valves V1 and V2 in accordance with the acquired parameters.
[0084] As described above, the acquisition unit 131 may perform a process of acquiring one or more parameters related to the physical properties of the 3D printing material extracted from the extraction unit 23. The adjustment unit 132 may also perform a process of adjusting the manner in which at least one of the multiple raw materials is introduced from the introduction unit in response to the acquisition. That is, as described above, parameters related to temperature and viscosity can be acquired from a sensor provided in the extraction unit 23 or a pump P1 provided in the extraction unit 23, and the manner in which the raw materials are introduced can be adjusted accordingly. For example, in various prior art technologies such as those disclosed in Patent Document 3, there is no idea of acquiring parameters related to the physical properties of the 3D printing material extracted from the extraction unit 23 and using them for control. For example, Patent Document 3 discloses that various controls are performed based on the materials primarily mixed in the mixer, and does not propose providing a separate extraction unit for the 3D printing material. In contrast, in the above embodiment, parameters can be acquired after the 3D printing material is extracted to the extraction unit 23, which naturally increases the variety of parameters that can be acquired. This also has the advantage that it is easier to improve the accuracy of the adjustment step and to stabilize the quality as a 3D printing material.
[0085] Additionally, the adjustment unit 132 may adjust the supply mode of the liquid admixture based on one or more parameters related to the physical properties of the 3D printing material acquired by the acquisition unit 131. For example, if the temperature of the 3D printing material acquired by the acquisition unit 131 is high, the viscosity of the 3D printing material is likely to decrease and the reactivity of the hydraulic material is expected to increase, which may result in an impact on the pumpability during 3D printing. In response to this, by appropriately blending (adding) a liquid admixture capable of adjusting the rheology of the 3D printing material, the physical properties of the 3D printing material can be adjusted to enable good modeling.
[0086] After the blending aspects have been adjusted as described above, the printing unit 134 prints the 3D printing material in a predetermined area (activity A103). This activity A103 is typically realized by the printing unit 134 controlling the 3D printer 3 to print the 3D printing material in a predetermined area. As described above, the 3D printer 3 uses 3D data created by a computer as a design drawing to manufacture a predetermined model. Here, by using a 3D printing material whose blending aspects have been adjusted as described above, the contents of the design drawing can be faithfully reflected, thereby enabling the desired model to be reliably obtained.
[0087] The steps (acquisition step, adjustment step, and printing step) shown in activities A101 to A103 may be performed simultaneously. Furthermore, prior to activity A103, the physical properties of the 3D printing material after the blending aspects have been adjusted in the adjustment step may be evaluated. Furthermore, the information processing related to activities A101 to A103 may be performed continuously (continuously) at each frame rate of the acquisition unit 131 or each control rate of the control unit 13, thereby controlling the properties of the 3D printing material used for 3D printing to be stabilized.
[0088] Furthermore, information relating to the history of each step executed as described above may be stored in a predetermined area by the function of the memory management unit 135 .
[0089] As described above, according to the first embodiment, the aspects of the raw material composition are adjusted based on the parameters acquired by the acquisition unit 131. The printing unit 134 performs 3D printing using the 3D printing material whose aspects have been adjusted in this way, and as a result, it can be said that a stably shaped object can be obtained.
[0090] In the first embodiment, the printing material manufacturing apparatus may be shown as a printing material manufacturing apparatus 2A. Furthermore, by including this printing material manufacturing apparatus 2A, a modeling system 250 can be configured.
[0091] 6 is a diagram showing the overall configuration of a modeling system 250. In this modeling system 250, the information processing device 1 and the 3D printer 3 can have the same configurations as those of the previously described modeling system 200. On the other hand, the printing material manufacturing device 2A in the modeling system 250 differs from the printing material manufacturing device 2 provided in the modeling system 200 in that it has the following features.
[0092] That is, the printing material manufacturing apparatus 2A shown in Fig. 6 is characterized by being a combination of the first apparatus 24 and the second apparatus 25. In other words, the printing material manufacturing apparatus shown in Fig. 6 may be an assembly of multiple apparatuses.
[0093] Here, the first device 24 includes a hopper 241 into which a premix material (typically a powder premix material) that provides the 3D printing material is poured, a first tank 242 that contains the premix material and water, a first screw 243 that receives the premix material poured into the hopper 241 and transfers it to the first tank 242, a second screw 244 that mixes the premix material and water in the first tank 242, a motor 245 that rotates the first screw 243, and a motor 246 that rotates the second screw 244. The first device 24 may also be provided with a vibrator 247 to facilitate the premix material poured into the hopper 241 falling downward. Furthermore, the first device 24 is configured so that water W is added to the first tank 242. That is, the water W is supplied to the first tank 242 by opening and closing the valve V4. In FIG. 6, the water W is supplied before the first tank 242 during the movement of the premixed material. In this regard, the supply position of the water W is not limited to this. For example, the water W may be supplied directly to the first tank 242. Note that while FIG. 6 shows the first screw 243 and the second screw 244 as screws capable of transporting and mixing the premixed material, various mechanisms capable of such transport and mixing may be employed in the modeling system of this embodiment. That is, various first mechanisms capable of transporting the premixed material may be employed instead of the first screw 243, and various second mechanisms capable of stirring the premixed material may be employed instead of the second screw 244.
[0094] The second device 25 also includes a hopper 251 into which the mixture mixed in the first tank 242 of the first device 24 is poured, a second tank 252 that receives the mixture poured into the hopper 251, a third screw 253 that stirs the mixture in the second tank 252, a motor 254 that rotates the third screw 253, a third tank 255 that receives the mixture stirred in the second tank 252, a fourth screw 256 that is provided in the third tank 255 and extrudes the mixture stirred in the second tank 252 into the 3D printer 3, and a motor 257 that rotates the fourth screw 256. The second device 25 may also include a vibrator 258 to promote downward falling of the received mixture. While FIG. 6 illustrates the third screw 253 and the fourth screw 256 as screws capable of stirring and transporting the mixture, various mechanisms capable of such stirring and transport may be employed in the modeling system of this embodiment. That is, various third mechanisms capable of stirring the mixture may be adopted in place of the third screw 253, and various fourth mechanisms capable of transporting the mixture may be adopted in place of the fourth screw 256.
[0095] As in the modeling system 200, the mixture (3D printing material) extruded by the fourth screw 256 of the second device 25 is transported to the 3D printer 3 by the pump P1.
[0096] In addition, the printing material manufacturing device 2A may have the following configuration.
[0097] That is, in the first device 24, a sensor (powder sensor) capable of detecting the flow rate of the premix material (powder flow rate) may be provided downstream of the first screw 243 and before the first tank 242. In a typical example, an exothermic reaction occurs in the first tank 242 when the premix material and water are mixed, so a cooling mechanism may be provided to cool the first tank 242. The cooling mechanism may be provided inside the first tank 242 or outside the first tank 242 (so as to cover the first tank 242).
[0098] Furthermore, the first device 24 may employ the following configuration to stably supply the premix material introduced into the hopper 241 to the first tank 242. That is, as described above, the first device 24 may be provided with a vibrator 247 to facilitate the downward fall of the premix material introduced into the hopper 241. The vibration conditions (vibration frequency and vibration energy) of the vibrator 247 may be adjusted based on the physical properties of the premix material (composition, particle size (particle size distribution, average particle size, etc.), particle shape, density, etc.) and the environment (temperature and humidity) in which the printing material manufacturing apparatus 2A is installed. Because the vibrator 247 may generate heat during vibration, it preferably has a thermally insulated structure to prevent the heat from propagating within the first device 24 (the area where the premix material moves). Furthermore, the receiving surface of the premix material in the hopper 241 within the first device 24 may be subjected to a surface treatment or the like to increase the flowability (of the powder). Furthermore, a configuration may be made in which an agitator is provided inside the hopper 241 to prevent the premix material from solidifying. In this specification, the term "thermal insulation structure" refers to a structure in which a material with lower thermal conductivity than the materials constituting the various elements of the first device 24 and the second device 25 is interposed between members. More specifically, a typical example of a thermal insulation structure is a structure in which a member made of resin, rubber, or the like is interposed between the vibrator 247 and the hopper 241, etc.
[0099] Furthermore, the second device 25 may be provided with a cooling mechanism for cooling the second tank 252 to remove heat generated by stirring in the second tank 252. The cooling mechanism may be provided inside the second tank 252 or outside the second tank 252 (so as to cover the second tank 252). As described above, the second device 25 may be provided with a vibrator 258 to facilitate the mixture introduced into the hopper 251 dropping downward. The vibration conditions (vibration frequency and vibration energy) of the vibrator 258 may be adjusted depending on the physical properties (composition, viscosity, etc.) of the mixture and the environment (temperature and humidity) in which the printing material production apparatus 2A is installed. Because the vibrator 258 may generate heat during vibration, it preferably has an insulating structure that prevents the heat from propagating within the second device 25 (where the mixture moves).
[0100] In addition, it is expected that the various motors will generate heat when they rotate, and it is preferable that the various motors and / or various screws have an insulated structure so that the heat does not propagate to the inside of the first device 24 or the second device 25.
[0101] 6 shows an embodiment in which water W is added to the first device 24, but the above-mentioned liquid admixture may be added to the first device 24 in addition to or instead of the water W. The supply rate of such a liquid admixture can also be controlled by opening and closing the valve V4.
[0102] Various controls are performed on the printing material manufacturing apparatus 2A as described above based on the functions of the adjustment unit 132 of the information processing apparatus 1. Various control modes may be used, but typically, the following control may be performed.
[0103] In an exemplary embodiment, the adjustment unit 132 of the information processing device 1 may adjust the drive conditions of the first screw 243 and the second screw 244 separately based on one or more acquired parameters as an adjustment step. That is, in the first device 24, the first screw 243 generally contributes to the stable supply of premixed material, while the second screw 244 generally contributes to converting the premixed material into a mixture. In the above embodiment, these contributions are controlled separately (separately). This allows for a balance between the supply rate of the raw material and the production rate of the mixture, which facilitates improving the quality of the 3D printing material. Note that the drive conditions typically include the rotational conditions (rotation speed) of the screws. That is, the adjustment unit 132 can control the motors 245 and 246 to adjust the rotation speed of each screw. For example, in various prior art technologies such as those shown in Patent Document 3, there is no idea of dividing the functions into the first mechanism (first screw 243) and the second mechanism (second screw 244) and using them for separate control. For example, Patent Document 3 shows a mode in which control of the blending amount is performed, but does not go so far as to show optimization of the drive conditions of the mechanism used for mixing (second mechanism; second screw). In contrast, the above embodiment has the advantage that each mechanism can be appropriately controlled, making it easier to stabilize the quality of the 3D printing material.
[0104] Furthermore, the drive conditions of the first screw 243 may be controlled based on the detection value of a sensor (powder sensor) capable of detecting the flow rate (powder flow rate) of the premix material. That is, the one or more parameters acquired by the acquisition unit 131 of the information processing device 1 may include the detection value of the sensor (powder sensor), and the adjustment unit 132 may adjust the blending aspect of at least one of the premix material, water, and / or liquid admixture based on at least the detection value of the sensor (powder sensor). A specific means for adjusting the blending aspect of the premix material is to control the drive conditions of the first screw 243 and adjust the blending amount. A typical example of the drive conditions here is the rotational condition (rotation speed) of the screw. That is, the adjustment unit 132 can control the motor 245 to adjust the rotation speed of the first screw 243. Meanwhile, a specific means for adjusting the blending aspect of the water or liquid admixture (liquid raw material) is to adjust the opening / closing degree of the valve V4. For example, in various prior art technologies such as those shown in Patent Document 3, there is no idea of utilizing the detection values obtained from such a powder sensor for equipment control. In contrast, in the above embodiment, it is possible to immediately measure the premix material transported by the first mechanism, which is advantageous in that it is easier to improve control of the preparation step and, as a result, it is easier to stabilize the quality of the 3D printing material.
[0105] In an exemplary embodiment, the adjustment unit 132 of the information processing device 1 may adjust the supply mode of water and / or liquid admixture to the first tank 242 based on one or more acquired parameters as the adjustment step. That is, in the first device 24, the premix material and the liquid raw material are mixed in the first tank 242. In the above-described embodiment, at least the supply mode of the liquid raw material is controlled to ensure stable mixing. The control of the supply mode here may include controlling one or more of the following: the supply amount of the liquid raw material, the supply rate of the liquid raw material, the temperature of the liquid raw material, the supply pressure of the liquid raw material, the supply position of the liquid raw material, and the jet form of the liquid raw material. More specific examples include increasing the supply rate of the water or liquid admixture or decreasing the temperature of the supplied water or liquid admixture as the internal temperature of the first tank 242 increases. Separately, the supply mode of the liquid raw material described above may be adjusted based on the physical properties of the mixture present in the first tank 242 or the second device 25. The supply amount and supply rate of the liquid source can typically be adjusted by adjusting the opening and closing of valve V4. The temperature of the liquid source may be controlled by providing a temperature control mechanism (e.g., a cooling mechanism) (not shown) in the liquid source flow path. While FIG. 6 shows a fixed supply position for the liquid source (water W), the supply position of the liquid source may be adjusted, for example, as follows. That is, multiple supply ports for the liquid source may be provided for the first tank 242 of the first device 24. The adjustment unit 132 may control which of the multiple supply ports for the liquid source is to be used to supply the liquid source, thereby enabling position-selective supply of the liquid source. In this case, the number of ports through which the liquid source is supplied is not limited to one; the liquid source may be supplied from multiple supply ports. In a more specific example, it is possible to determine the supply position of the liquid raw material based on the physical properties of the mixture in the first tank 242, and supply the liquid raw material from that supply position at a predetermined pressure, thereby controlling the mixture so that it is mixed appropriately. Also, in this embodiment, the function of the adjustment unit 132 may control the jet form of the liquid raw material. Examples of control of the jet form here include control of the spray angle of the liquid raw material, the diffusion angle during spray, and the fineness of the spray particles.Such control can be achieved, for example, by the adjusting unit 132 changing the shape of the supply port for the liquid raw material.
[0106] In an exemplary embodiment, the adjustment unit 132 of the information processing device 1 may adjust the drive conditions of the third screw 253 and / or the fourth screw 256 in the second device 25 based on one or more acquired parameters as an adjustment step. That is, the third screw 253 generally contributes to increasing the stability of the mixture when it is pumped by the pump P1 by stirring the mixture, and the fourth screw 256 generally contributes to appropriately transferring the stirred mixture to the pump P1. That is, the adjustment unit 132 may adjust the drive conditions of at least one of the third screw 253 and the fourth screw 256 in the second device 25 based on the one or more acquired parameters as an adjustment step, thereby controlling the stable supply of the mixture (3D printing material) to the pump P1. Note that the drive conditions here typically include the rotational conditions (rotational speed) of the screws. That is, the adjustment unit 132 can control the motors 254 and 257 to adjust the rotational speeds of the third screw 253 and the fourth screw 256.
[0107] In an exemplary aspect, the adjustment unit 132 of the information processing device 1 may, as an adjustment step, adjust the drive conditions (vibration conditions) of the vibrator 258 in the second device 25 based on one or more acquired parameters. As described above, the vibrator 258 has a function of making it easier for the mixture introduced into the second device 25 to fall downward. That is, the function of the adjustment unit 132 may adjust the vibration conditions (vibration frequency and vibration energy) of the vibrator 258 to control the stable supply of the mixture (3D printing material) to the pump P1. Note that examples of adjustment of the drive conditions (vibration conditions) here include adjustment of the vibration frequency and vibration energy.
[0108] Second Embodiment: Estimation Method for Estimating Quality of a Modeled Object Next, a second embodiment will be described. The estimation method according to the second embodiment is as follows. The estimation method for estimating quality of a modeled object includes a receiving step and an estimation step, wherein the receiving step receives one or more parameters related to 3D printing, and the estimation step estimates the quality of the modeled object based on the one or more parameters received in the receiving step and second reference information, wherein the second reference information is information that associates at least one or more parameters related to 3D printing with the quality of the modeled object.
[0109] This estimation method can be realized by the functions of the information processing device 1 also shown in the first embodiment. That is, the estimation method of the second embodiment can be realized by the reception unit 137 and the estimation unit 138 provided in the information processing device 1 executing the above-mentioned reception step and estimation step. Note that the information processing device 1 itself including the reception unit 137 and the estimation unit 138, or a group of elements including related devices, facilities, etc. in addition to the information processing device 1, may be referred to as an "estimation system" capable of executing the estimation method.
[0110] Such an estimation method will be described with reference to an activity diagram. Fig. 7 is an activity diagram showing the flow of information processing executed by the information processing device 1. Note that the second and subsequent embodiments may employ various features described in the above-described embodiments, but for the sake of brevity, the description of overlapping parts will be omitted in this specification.
[0111] That is, in the estimation method of the second embodiment, first, the receiving unit 137 receives one or more parameters related to 3D printing (activity A201).
[0112] In activity A201, the parameters received by the receiving unit 137 may be parameters related to various processes related to 3D printing.
[0113] Typically, 3D printing involves various steps such as: Step (1) designing the object; Step (2) manufacturing the 3D printing material; Step (3) creating the object using a 3D printer; and Step (4) curing the object. The parameters accepted in the second embodiment may be parameters related to these various steps (parameters managed in these various steps).
[0114] For example, in step (1), in addition to the mechanical parameters of the object to be designed, information (composition, specific gravity, hardening speed, etc.) on the 3D printing material (modeling material) to be used is managed. In the receiving step, such parameters can be received in relation to step (1).
[0115] In addition, in the step (2), the acquiring unit 131 in the first embodiment can manage various parameters that can be acquired, and the accepting unit 137 can accept such parameters.
[0116] In step (3), parameters (such as nozzle discharge amount and discharge speed) for controlling the 3D printer (such as the 3D printer 3) are managed and used. In the receiving step, such parameters can be received in relation to step (3).
[0117] Furthermore, in step (4), the curing conditions (temperature, humidity, curing time, etc.) of the shaped object are managed. In the receiving step, parameters related to step (4) can be received.
[0118] The receiving step may be one in which the receiving unit 137 actively acquires various parameters, or one in which the input of various parameters is passively received via a user's terminal operation or the like.
[0119] After the receiving unit 137 receives the parameters as described above, the estimation unit 138 estimates the quality of the object based on the one or more parameters received in the receiving step and the second reference information (activity A202).
[0120] The second reference information used in activity A202 is information that associates at least one or more parameters related to 3D printing with the quality of the object. Here, such second reference information may include a lookup table or database that is rule-based reference information, or may be a trained model that associates one or more parameters related to 3D printing with the quality of the object.
[0121] Here, the "quality of the object" refers to the quality of an object corresponding to a previously performed 3D printing, and is, for example, the quality evaluated using a test specimen produced by a certain process. The quality of the object evaluated in this manner is associated with various parameters (typically, various parameters related to the above-mentioned steps (1) to (4)) when providing the object. The second reference information used in the second embodiment is generated by associating these parameters.
[0122] That is, in the estimation step of the second embodiment, the quality of the 3D printing result (object) received in the reception step can be estimated based on one or more parameters related to 3D printing received by the reception unit 137 and the second reference information, without requiring evaluation of the 3D printing result (object).
[0123] If the second reference information includes a rule base, the received parameters can be matched with the second reference information and information regarding the quality of the object can be output. If the second reference information is a trained model, the received parameters can be input into the trained model and information regarding the quality of the object can be output.
[0124] The quality of the object estimated as described above may be displayed on the display unit 14 of the information processing device 1 or the like by the function of the display control unit 136. Additionally, the information processing device 1 may be configured to print a printed material indicating the quality of the object estimated as described above by the function of the information processing device 1 (a printing device (not shown) may be controlled by the control of the information processing device 1).
[0125] The second reference method may be updated as appropriate based on one or more parameters related to 3D printing and the quality of the object (e.g., actual measurement results (actual values)) when the receiving step and the estimation step are executed as described above. Also, as in the first embodiment, information related to the history when the receiving step and the estimation step are executed may be stored in a predetermined area based on the function of the memory management unit 135.
[0126] As described above, in the second embodiment, the quality of the object can be efficiently estimated based on the parameters received by the receiving unit 137 .
[0127] [Third Embodiment: Modeling System] Next, a third embodiment will be described. The modeling system according to the third embodiment is as follows. The modeling system includes: a manufacturing system that manufactures a 3D printing material by mixing a plurality of raw materials; a 3D printer configured to print the 3D printing material manufactured by the manufacturing system; and a control unit, wherein the 3D printer includes: a first transport unit that receives and transports the 3D printing material manufactured by the manufacturing system; a second transport unit that receives and transports the 3D printing material transported from the first transport unit; and a nozzle that prints the 3D printing material transported from the second transport unit onto a predetermined area, wherein the control unit is configured to execute an acquisition step and a transport unit control step, wherein the acquisition step acquires one or more parameters from the manufacturing system and / or the 3D printer during and / or after mixing of the 3D printing material, and the transport unit control step controls operation of the first transport unit and / or the second transport unit based on the acquired one or more parameters.
[0128] A typical example of such a modeling system will be described with reference to the drawings. FIG. 8 is a diagram showing the overall configuration of a modeling system 300 according to a third embodiment. As shown in FIG. 8 , the modeling system 300 includes an information processing device 1, a printing material manufacturing device 2, and a 3D printer 3. Here, the information processing device 1 may have the same configuration as the information processing device 1 shown in each of the above-described embodiments. Note that the printing material manufacturing device 2 shown in FIG. 8 differs from the one shown in the first embodiment in that it does not include a pump P1. In this regard, the modeling system 300 shown in FIG. 8 is described as transporting the manufactured 3D printing material by a transport mechanism (transport unit) provided in the 3D printer 3. However, the 3D printer of the third embodiment can be referred to as a "3D printer" by including a configuration capable of receiving the 3D printing material manufactured by the printing material manufacturing device 2 (manufacturing system). In other words, in the example of the modeling system 200 shown in FIG. 2 , the pump P1 may be referred to as part of the configuration of the 3D printer 3.
[0129] Furthermore, the printing material manufacturing apparatus 2 may be referred to as a "manufacturing system" because it is configured to be able to communicate with the information processing apparatus 1. Note that the specific configuration of the printing material manufacturing apparatus 2 (manufacturing system) is not limited to that shown in Fig. 8, and a configuration different from that shown in Fig. 8 may be adopted as appropriate. That is, the printing material manufacturing apparatus 2 portion of Fig. 8 may be replaced with the printing material manufacturing apparatus 2A shown in Fig. 7.
[0130] In this embodiment, the 3D printer 3 may have the configuration shown in FIG. 9 . FIG. 9 is a diagram illustrating an overview of the 3D printer 3 according to a third embodiment. The 3D printer 3 shown in FIG. 9 includes a first transport unit TS1 that receives and transports the 3D printing material produced by the printing material production device 2 (manufacturing system), a second transport unit TS2 that receives and transports the 3D printing material transported from the first transport unit TS1, and a nozzle NZ that prints the 3D printing material transported from the second transport unit TS2 in a predetermined area. The 3D printer 3 shown in FIG. 9 also includes a first transport path TR1 through which the 3D printing material transported by the first transport unit TS1 passes, and a second transport path TR2 through which the 3D printing material transported by the second transport unit TS2 passes. The position of the nozzle NZ is controlled by the printing unit 134 of the information processing device 1, thereby enabling printing in a predetermined area. The 3D printer 3 may also have a configuration other than that shown in FIG. 9 . For example, the first transport path TR1 or the second transport path TR2 may include another transport unit (third transport unit) or the like (not shown). Furthermore, one or more pressure sensors may be attached to the inside of the first transport path TR1 or the second transport path TR2 to detect the pressure applied to the inside of the transport path. Furthermore, one or more sensors (flow rate sensors) may be attached to the inside of the first transport path TR1 or the second transport path TR2 to detect the speed of the 3D printing material moving through the inside of the transport path.
[0131] In this embodiment, the first transfer unit TS1 is selected from known configurations capable of receiving and transferring 3D printing material. Typically, the first transfer unit TS1 is configured to pump the 3D printing material. More specifically, the first transfer unit TS1 may be a pump. Examples of pumps that can be used include, but are not limited to, rotary pumps, gear pumps, diaphragm pumps, bellofram pumps, tubing pumps, roller pumps, syringe pumps, pulsating pumps, and non-pulsating pumps. Various pumps may be employed (note that the pump used for the first transfer unit TS1 may be a pump equipped with a hopper). The amount of 3D printing material that the first transfer unit TS1 can transfer per hour may be set appropriately depending on the properties of the 3D printing material, the contents of the first transfer path TR1, the second transfer path TR2, and the second transfer unit TS2, etc.
[0132] In this embodiment, the second transfer unit TS2 is selected from known configurations capable of receiving and transferring the 3D printing material. Typically, the second transfer unit TS2 is configured to pump the 3D printing material. More specifically, the second transfer unit TS2 may be a pump. Examples of pumps that can be used include, but are not limited to, rotary pumps, gear pumps, diaphragm pumps, bellofram pumps, tubing pumps, roller pumps, syringe pumps, pulsating pumps, and non-pulsating pumps. Various pumps may be employed (note that the pump used for the second transfer unit TS2 may be a pump equipped with a hopper). Meanwhile, since the second transfer unit TS2 is located close to the nozzle NZ, it is preferable that the second transfer unit TS2 be configured to precisely transfer (discharge) the 3D printing material. From this perspective, the second transfer unit TS2 is preferably a non-pulsating pump. In addition, the amount of 3D printing material that the second transfer unit TS2 can transfer per unit time may be set appropriately depending on the properties of the 3D printing material, as well as the contents of the first transfer path TR1, the second transfer path TR2, and the first transfer unit TS1.
[0133] In this embodiment, the first transfer path TR1 is a path through which the 3D printing material transferred by the first transfer unit TS1 passes. This first transfer path TR1 may be an open path or a closed path. For example, the first transfer path TR1 is a closed system, forming a predetermined closed space together with the transfer outlet of the first transfer unit TS1 and the transfer inlet of the second transfer unit TS2. When the first transfer path TR1 is a closed system, the interior of the first transfer path TR1 may be pressurized during the process of transferring the 3D printing material. The pressure load (pumping pressure) of the first transfer unit TS1 during the process of transferring the 3D printing material may be appropriately set depending on conditions such as the length of the first transfer path TR1. For example, when the pressure load per unit length (m) of the first transfer path TR1 due to the first transfer part TS1 is defined, this pressure load per unit length (m) of the first transfer path TR1 is preferably in the range of 0.10 to 0.42 MPa / m, more preferably 0.14 to 0.33 MPa / m, and even more preferably 0.18 to 0.24 MPa / m. Note that the pressure load per unit length (m) of the first transfer path TR1 due to the first transfer part TS1 is defined as the pressure (pumping pressure) applied to the first transfer path TR1 by the first transfer part TS1 divided by the length of the first transfer path TR1. That is, in the case where the length of the first transport path TR1 is 10 m, for example, the pressure applied by the first transport unit TS1 to the first transport path TR1 (internal pressure of the first transport path TR1) is preferably in the range of 1 to 4.2 MPa, more preferably 1.4 to 3.3 MPa, and even more preferably 1.8 to 2.4 MPa. By setting the pressure in such a range, the 3D printing material can be caused to flow appropriately depending on the length of the first transport path TR1.
[0134] In this embodiment, the first transport path TR1 may be provided with a mechanism for adjusting the internal pressure of the first transport path TR1. That is, although not shown in FIG. 9 , the first transport path TR1 may be connected to a pressure accumulator to more easily maintain the internal pressure of the first transport path TR1 within a predetermined range. This pressure accumulator can accumulate pressure generated by the 3D printing material when the 3D printing material is sealed inside the first transport path TR1. For example, various prior art technologies such as those disclosed in Patent Document 4 do not disclose the idea of providing such a pressure accumulator between transport units.
[0135] In this regard, as described above, in a typical example, a pressure sensor can be attached inside the first transfer path TR1. However, if the volume of the first transfer path TR1 is large, control of the transfer unit based on the detection value of this pressure sensor may not be sufficient to control the internal pressure in time. In this regard, connecting a pressure accumulator to the first transfer path TR1 can more appropriately adjust the internal pressure of the first transfer path TR1. Note that connecting a pressure accumulator to the first transfer path TR1 in this manner can also expand the types of equipment that can be used for the first transfer unit TS1 and the second transfer unit TS2, contributing to improved robustness of the 3D printer 3.
[0136] The 3D printing material used in the modeling system of the third embodiment may contain the admixture (C) that imparts thixotropy, as described in the first embodiment. In this way, by incorporating the admixture (C) that imparts thixotropy into the 3D printing material and employing the above-described internal pressure of the first transport path TR1, the following effect can be achieved. That is, when the thixotropy of the 3D printing material increases, the viscosity of the material tends to increase during its stay in the first transport path TR1. In contrast, employing the above-described internal pressure of the first transport path TR1 facilitates stable operation of the second transport unit TS2, thereby stabilizing the modeling process.
[0137] The first transfer path TR1 may be tubular (hose-shaped). The material constituting this hose may be selected appropriately, and may be, for example, resin, metal, ceramics, or the like.
[0138] Furthermore, the length of the first transport path TR1 (the distance from the outlet of the first transport unit TS1 to the entrance of the second transport unit TS2) can be set as appropriate. On the other hand, from the viewpoint of stably carrying out the modeling process, an upper limit value for the length of the first transport path TR1 may be set. For example, the length of the first transport path TR1 may be 50 m or less, 45 m or less, 40 m or less, 35 m or less, or 30 m or less. Furthermore, the length of the first transport path TR1 may be 50 cm or more, 1 m or more, or 3 m or more.
[0139] In addition, the volume of the first transfer path TR1 when it forms a closed system can also be set appropriately. For example, the volume of the first transfer path TR1 is 3000 cm 3 More than 18000cm 3 and 4500 cm 3 More than 13000cm 3 7000 cm 3 More than 8000cm 3 The range may be as follows: By setting the range in this way, the printing material transferred from the printing material manufacturing device 2 can be appropriately stored, and printing material of stable quality can be easily ejected from the nozzles NZ.
[0140] In this embodiment, the second transfer path TR2 is a path through which the 3D printing material transferred by the second transfer unit TS2 passes. This second transfer path TR2 may be an open path or a closed path. As an example, when the tip of the nozzle NZ is open, the second transfer path TR2 is an open system. On the other hand, when the nozzle NZ is configured to be openable and closable, a closed system may be formed together with the closed nozzle NZ and the transfer outlet of the second transfer unit.
[0141] The pressure load (pumping pressure) of the second transfer unit TS2 during the 3D printing material transfer process can be set appropriately depending on conditions such as the length of the second transfer path TR2. For example, the pumping pressure of the second transfer unit TS2 is preferably in the range of 0.1 to 5 MPa, more preferably 0.15 to 4 MPa, and even more preferably 0.2 to 2 MPa. Setting this range allows the 3D printing material to flow appropriately within the second transfer path TR2. Note that while the relationship between the pressure load (pumping pressure) of the first transfer unit TS1 and the pressure load (pumping pressure) of the second transfer unit TS2 can be set appropriately, it is preferable to adopt a configuration in which the pressure load of the first transfer unit TS1 is greater than the pressure load of the second transfer unit TS2. This facilitates stabilization of the entire modeling process.
[0142] Furthermore, the length of the second transport path TR2 (the distance from the outlet of the second transport unit TS2 to the inlet of the nozzle NZ) can be set as appropriate. On the other hand, from the viewpoint of stably carrying out the modeling process, an upper limit value for the length of the second transport path TR2 may be set. As an example, the length of the second transport path TR2 may be 15 m or less, 12 m or less, 10 m or less, 8 m or less, or 5 m or less. Furthermore, the length of the second transport path TR2 may be 10 cm or more, 15 cm or more, or 20 cm or more.
[0143] Furthermore, the volume of the second transport path TR2 when it forms a closed system can also be set appropriately. The range of the volume of the second transport path TR2 is determined depending on, for example, the properties of the printing material.
[0144] Furthermore, when the second transfer unit TS2 is a pump equipped with a hopper, the pressure inside the hopper (internal pressure) can also be set appropriately. For example, the pressure inside the hopper of the second transfer unit TS2 (internal pressure) may be in the range of 0.1 MPa to 1.5 MPa, 0.2 MPa to 1 MPa, or 0.4 MPa to 0.6 MPa. By setting the pressure in such a range, the molding process can be performed without placing an excessive load on the second transfer unit TS2.
[0145] In this embodiment, the relationship between the length of the first transport path TR1 and the length of the second transport path TR2 may be set as appropriate. On the other hand, the length of the first transport path TR1 may be configured to be longer than the length of the second transport path TR2. As an example, when the length of the first transport path TR1 is defined as L1 and the length of the second transport path TR2 is defined as L2, L1 / L2 may be 1.5 or greater, 3 or greater, or 5 or greater. Setting these values makes it easier to eject printing material of stable quality from the nozzles NZ.
[0146] In this embodiment, the relationship between the volume of the first transport path TR1 and the volume of the second transport path TR2 may be set as appropriate. On the other hand, the volume of the first transport path TR1 may be configured to be larger than the volume of the second transport path TR2. As an example, when the volume of the first transport path TR1 is defined as V1 and the volume of the second transport path TR2 is defined as V2, V1 / V2 may be 1.5 or greater, 3 or greater, or 5 or greater. Setting V1 / V2 to such values makes it easier to eject printing material of stable quality from the nozzles NZ.
[0147] A modeling process (which may also be referred to as a "modeling method") using the modeling system 300 described above will now be described. FIG. 10 is an activity diagram illustrating the flow of information processing using the modeling system 300, etc. In the modeling process of the third embodiment, the control unit 13 of the information processing device 1 performs a predetermined modeling by executing an acquisition step and a transport unit control step. Here, in the acquisition step, one or more parameters are acquired from the manufacturing system and / or the 3D printer during and / or after the mixing of the 3D printing material, and in the transport unit control step, the operation of the first transport unit TS1 and / or the second transport unit TS2 is controlled based on the acquired one or more parameters.
[0148] That is, in the modeling process of this embodiment, first, the acquisition unit 131 of the information processing device 1 acquires one or more parameters from the manufacturing system and / or 3D printer during and / or after the mixing of the 3D printing material (activity A301). These parameters may be various parameters related to the printing material manufacturing device 2 or the 3D printer 3, but in one aspect, they include parameters related to the operation of equipment in the manufacturing system during and / or after the mixing of the 3D printing material. Here, the equipment in the manufacturing system is, for example, equipment that transports raw materials or 3D printing materials. That is, in the example of the modeling system 300 of FIG. 8 , the acquisition unit 131 of the information processing device 1 may be configured to acquire signals from the valves (valves V1, V2, and V3) and motor 212 provided in the printing material manufacturing device 2, thereby acquiring parameters related to the operating status of the printing material manufacturing device 2. Note that parameters related to the operation of equipment in the manufacturing system may also be acquired based on signals from equipment and sensors not shown in FIG. 8 . The parameters acquired by the acquisition unit 131 may include parameters related to the physical properties of the 3D printing material during and / or after mixing. Examples of the parameters related to the physical properties include the various parameters described in the first embodiment.
[0149] On the other hand, the acquisition unit 131 of the information processing device 1 may acquire one or more parameters from the 3D printer 3. Examples of parameters that can be acquired from the 3D printer 3 include parameters related to the driving of the first transfer unit TS1, the second transfer unit TS2, and the nozzle NZ, as well as parameters related to the pressure applied inside the first transfer path TR1 and the second transfer path TR2, parameters related to the movement speed of the 3D printing material moving inside the first transfer path TR1 and the second transfer path TR2, and parameters related to the temperature of each element that constitutes the 3D printer 3.
[0150] Next, in the modeling process of this embodiment, the transport unit control unit 139 controls the operation of the first transport unit TS1 and / or the second transport unit TS2 based on one or more acquired parameters (activity A302), and the printing unit 134 prints the 3D printing material in a predetermined area based on the functions of these transport units (activity A303).
[0151] The manner in which the transport unit control unit 139 controls each transport unit may be various, but typically, in the transport unit control step, the operation of the first transport unit TS1 and / or the second transport unit TS2 is controlled based on one or more acquired parameters and third reference information regarding a preset forming process.
[0152] That is, the information processing device 1 may store process values, etc., related to the 3D printing material to be used in the printing step as third reference information in advance, and by matching the acquired parameters with the third reference information, it can calculate how to control the first transport unit TS1 and / or the second transport unit TS2 when executing the modeling process. That is, based on the results of such calculations, a predetermined signal may be generated to control each transport unit. Note that the third reference information here may include a lookup table or database, which is rule-based reference information. Furthermore, the third reference information may be a trained model that is trained by associating one or more parameters with conditions, etc. related to the modeling process.
[0153] In this embodiment, it is preferable that both the first transfer unit TS1 and the second transfer unit TS2 are controlled by the transfer unit control unit 139. Patent Document 4 discloses an embodiment in which only the rotational speed of the drive motor of the screw at the tip is adjusted based on the detection results (see paragraph 0017 of Patent Document 4, etc.). That is, Patent Document 4 does not consider precisely controlling the first transfer unit TS1, which transfers the 3D printing material to the second transfer unit TS2. In contrast, the embodiment described above in the present application makes it possible to appropriately control multiple types of transfer units, which makes it easier to stabilize the quality of the printing material during the modeling process and further improves the modeling accuracy in the 3D printing process.
[0154] In one aspect, the transfer unit control unit 139 may control the first transfer unit TS1 after the acquisition unit 131 acquires parameters related to the drive of the second transfer unit TS2. Here, the parameters acquired by the acquisition unit 131 from the second transfer unit TS2 may be set as appropriate, but typically include the rotation speed of the pump if the second transfer unit TS2 is a pump. That is, in one aspect, the transfer unit control unit 139 can control the drive conditions of the first transfer unit TS1 (typically, the pump rotation speed if the first transfer unit TS1 is a pump) based on the pump rotation speed of the second transfer unit TS2 acquired by the acquisition unit 131. However, even in this aspect, the parameters acquired by the acquisition unit 131 may include parameters other than the above-mentioned parameters related to the drive of the second transfer unit TS2. That is, in addition to the parameters related to the operation of the second transfer section TS2, other parameters such as the internal pressure (internal pressure) of the first transfer path TR1 may be acquired, and then the control conditions for the first transfer section TS1 may be determined and control may be performed.
[0155] From another perspective, the first transfer unit TS1 may be controlled as follows. That is, the first transfer unit TS1 may be feedback-controlled (e.g., PID-controlled) in response to the internal pressure of the first transfer path TR1. That is, the acquisition unit 131 may acquire the internal pressure of the first transfer path TR1 as a parameter based on information received from various sensors, and the transfer unit control unit 139 may control the drive conditions of the first transfer unit TS1 based on this parameter. Note that, depending on the physical properties of the 3D printing material used, pressure fluctuations within the first transfer path TR1 may not be detected properly. For this reason, it is also effective for the transfer unit control unit 139 to control the drive of the first transfer unit TS1 using parameters related to the drive of the second transfer unit TS2 in addition to or instead of the internal pressure of the first transfer path TR1.
[0156] From another perspective, the acquisition unit 131 may acquire parameters of the first transport path TR1, and then the transport unit control unit 139 may control the drive of at least one of the first transport unit TS1 and the second transport unit TS2. Examples of parameters of the first transport path TR1 include the internal pressure of the first transport path TR1 and the movement speed of the 3D printing material moving through the first transport path TR1. That is, the drive of at least one of the first transport unit TS1 and the second transport unit TS2 may be controlled based on a detection value detected by a predetermined sensor. Here, the detection value acquired by the sensor is not limited to one, and the drive of at least one of the first transport unit TS1 and the second transport unit TS2 may be controlled based on multiple detection values. Control based on multiple detection values also includes, for example, control based on the difference between the multiple detection values. Typically, detection values are acquired from a pressure sensor located near the first transfer unit TS1 and a pressure sensor located near the second transfer unit TS2 inside the first transfer path TR1, and the drive conditions for the first transfer unit TS1 and / or the second transfer unit TS2 can be determined from the difference between these detection values. Note that the internal parameters of the first transfer path TR1 may also be acquired by elements other than sensors provided inside the first transfer path TR1. For example, because the internal pressure of the first transfer path TR1 is significantly dependent on the drive conditions of the first transfer unit TS1, various controls may be performed based on the drive conditions of the first transfer unit TS1. This manner of acquiring internal parameters of the first transfer path TR1 is also unique in prior art such as Patent Document 4.
[0157] As described above, the transport unit control unit 139 controls the first transport unit TS1 and / or the second transport unit TS2, and then the printing unit 134 prints the 3D printing material in the predetermined area. Note that the method for printing the 3D printing material in the predetermined area is the same as that described in the first embodiment.
[0158] The steps (acquisition step, transport unit control step, and printing step) indicated by activities A301 to A303 may be executed simultaneously in parallel. Furthermore, the information processing related to activities A301 to A303 may be continuously (successively) performed for each frame rate of the acquisition unit 131 or each control rate of the control unit 13, thereby controlling the modeling process to be stable.
[0159] As described above, in the modeling system of the third embodiment, the transfer mode of the 3D printing material in the 3D printer 3 is controlled by parameters related to the printing material manufacturing device 2 (manufacturing system). This makes it possible to realize a stable modeling process.
[0160] [Fourth embodiment: 3D printing material manufacturing system] Next, a fourth embodiment will be described. The 3D printing material manufacturing system according to the fourth embodiment is as follows: A 3D printing material manufacturing system formed by mixing a plurality of types of raw materials, comprising: a control unit, the control unit being configured to be able to execute an acquisition step and a notification step, the acquisition step acquiring one or more parameters related to the operation of equipment in the manufacturing system during and / or after mixing of the 3D printing material, and the notification step issuing a warning when the acquired one or more parameters exceed a predetermined threshold.
[0161] 11 is an activity diagram showing the flow of information processing in the fourth embodiment. Although not limited thereto, the 3D printing material manufacturing system of the fourth embodiment may have a configuration similar to that of the manufacturing system 100 shown in FIG. 1. Information processing that can be realized by the manufacturing system 100 shown in FIG. 1 will be described below.
[0162] That is, in the fourth embodiment, the acquisition unit 131 first acquires one or more parameters related to the operation of the equipment in the manufacturing system during and / or after the mixing of the 3D printing material (activity A401). As described in the third embodiment, one example of the equipment in the manufacturing system is equipment that transports raw materials or 3D printing materials. That is, taking the example of the manufacturing system 100 of FIG. 1 , the acquisition unit 131 of the information processing device 1 may be configured to acquire signals from the valves (valves V1, V2, and V3) and motor 212 provided in the printing material manufacturing device 2, thereby acquiring parameters related to the operating status of the printing material manufacturing device 2.
[0163] Next, the notification unit 130 issues a warning when one or more parameters acquired by the acquisition unit 131 exceed a predetermined threshold (activity A402). That is, the type of parameter and the threshold for the parameter may be stored in association with each other in the storage unit 12 of the information processing device 1. Furthermore, the information processing device 1 may determine whether or not a notification is necessary by comparing the parameter acquired by the acquisition unit 131 with the stored threshold.
[0164] The manner in which the warning is output can be selected as appropriate. For example, based on the function of the display control unit 136, it is possible to display visual information via the display unit 14 of the information processing device 1 that the operating status of the printing material manufacturing device 2 is poor. In addition, in this embodiment, it is also possible to issue a warning that a part in the manufacturing system 100 needs to be replaced. In addition, based on the function of the control unit 13, various information related to the above-mentioned warning can also be output as sound.
[0165] In addition, when the acquisition unit 131 continuously acquires signals from the printing material production device 2, a sudden change in the continuously acquired state quantity may be used as an opportunity for the notification unit 130 to issue a warning. In addition, the warning conditions are set appropriately according to the needs of the user.
[0166] As described above, the manufacturing system of the fourth embodiment is controlled so that a predetermined warning is issued based on parameters related to the printing material manufacturing device 2 (manufacturing system). This makes it easier to manage the process and realizes a stable modeling process.
[0167] [Fifth Embodiment: Modeling System] Next, a fifth embodiment will be described. The modeling system according to the fifth embodiment is as follows: A modeling system configured to be able to print a 3D printing material, comprising: a control unit; a first transport unit that receives and transports the 3D printing material; a second transport unit that receives and transports the 3D printing material transported from the first transport unit; and a nozzle that prints the 3D printing material transported from the second transport unit in a predetermined area, wherein the first transport unit and / or the second transport unit are controlled by the control unit.
[0168] 9 and an information processing device 1 configured to be able to communicate with the 3D printer 3. That is, the modeling system of the fifth embodiment may also include the same configuration of the 3D printer 3 (transfer units, transfer paths, nozzles, etc.) as the modeling system described in the third embodiment.
[0169] On the other hand, in the fifth embodiment, the information processing device 1 does not necessarily acquire parameters from the manufacturing system, and the 3D printing material transferred to the first transfer unit TS1 does not necessarily have to be produced by the printing material manufacturing apparatus 2. That is, in the modeling system of the fifth embodiment, the first transfer unit TS1 does not need to be connected to the printing material manufacturing apparatus 2 and may be configured to receive and transfer a 3D printing material prepared in advance. As an example, the first transfer unit TS1 of the fifth embodiment may be a cartridge, a hopper, or the like that can receive and transfer a 3D printing material prepared in advance. Furthermore, as long as the first transfer unit TS1 and / or the second transfer unit TS2 are controlled by the control unit 13 of the information processing device 1, this control may be based on content other than the parameters described above. In a typical example, in the modeling system of the fifth embodiment, the acquisition unit 131 may acquire a signal based on a manual operation by an operator (user), and each transfer unit may be controlled based on the signal.
[0170] As described above, the molding system of the fifth embodiment is configured so that the first transfer unit TS1 and / or the second transfer unit TS2 can be controlled by a predetermined control unit, which makes it easier to achieve a stable molding process.
[0171] [Others] Below, modifications of the information processing methods of the manufacturing system 100, the modeling system 200, the modeling system 250, the modeling system 300, and the like will be described.
[0172] The above-described embodiments have been described as configurations of the manufacturing system 100, the modeling system 200, the modeling system 250, and the modeling system 300. However, at least one computer may be provided with a program that causes the computer to execute each step of the method for manufacturing a 3D printing material or the method for manufacturing a model. Also, at least one computer may be provided with an estimation program that causes the computer to execute each step (receiving step, estimation step, etc.) of the estimation method of the second embodiment.
[0173] In the above-described embodiment, the information processing device 1 performs various storage and control operations, but multiple external devices may be used instead of the information processing device 1. That is, by using blockchain technology or the like, process histories related to various molding processes, information related to quality assurance, and the like may be distributed and stored in multiple external devices.
[0174] Furthermore, it may be provided in the following aspects.
[0175] (1) A method for manufacturing a shaped object using a 3D printing material obtained by mixing multiple types of raw materials, the method comprising: an acquisition step, an adjustment step, and a printing step; in the acquisition step, one or more parameters related to the physical properties of the 3D printing material during and / or after mixing of the 3D printing material are acquired; in the adjustment step, an aspect of the blending of at least one of the multiple types of raw materials of the 3D printing material is adjusted based on the one or more acquired parameters; and in the printing step, the 3D printing material whose aspect has been adjusted is printed in a predetermined area.
[0176] (2) In the manufacturing method of the object described in (1) above, in the adjustment step, the aspect of the blending of at least one of the plurality of raw materials is controlled based on the one or more acquired parameters and first reference information regarding a preset 3D printing material.
[0177] (3) In the manufacturing method of a shaped object described in (1) or (2) above, in the adjusting step, at least one of the blending amount, blending speed, blending temperature, and blending position of the raw materials is adjusted as a blending aspect.
[0178] (4) In the method for manufacturing a molded object described in any one of (1) to (3) above, in the acquisition step, parameters related to the viscosity and / or temperature of the 3D printing material are acquired as the one or more parameters.
[0179] (5) The method for manufacturing a shaped object according to any one of (1) to (4) above, wherein the plurality of raw materials include a hydraulic material, and water and / or a liquid admixture.
[0180] (6) The method for manufacturing a molded object described in any one of (1) to (5) above further includes an extraction step, in which the extraction step involves a process for extracting the 3D printing material after mixing, and in which the acquisition step involves acquiring one or more parameters related to the physical properties of the 3D printing material extracted in the extraction step.
[0181] (7) A manufacturing system for a 3D printing material made by mixing multiple types of raw materials, comprising a control unit, the control unit being configured to be able to execute an acquisition step and an adjustment step, wherein the acquisition step acquires one or more parameters related to the physical properties of the 3D printing material during the mixing process and / or after mixing of the 3D printing material, and the adjustment step adjusts the composition of at least one of the multiple types of raw materials of the 3D printing material based on the acquired one or more parameters.
[0182] (8) The manufacturing system for 3D printing materials described in (7) above further includes a mixing tank, an agitator configured to agitate the contents of the mixing tank, and an input unit configured to input raw materials into the mixing tank, wherein the control unit executes, as the acquisition step, a process to acquire one or more parameters related to the physical properties of the 3D printing material based on the load when the agitator agitates the contents of the mixing tank, and, as the adjustment step, a process to adjust the manner in which at least one raw material among the plurality of types of raw materials is input from the input unit.
[0183] (9) The manufacturing system for 3D printing materials described in (7) above further includes a mixing tank, an extraction unit configured to be able to extract the contents of the mixing tank, and an input unit configured to be able to input raw materials into the mixing tank, and the control unit executes, as the acquisition step, a process to acquire one or more parameters related to the physical properties of the 3D printing material extracted from the extraction unit, and, as the adjustment step, a process to adjust the manner in which at least one raw material among the plurality of types of raw materials is input from the input unit.
[0184] (10) The 3D printing material manufacturing system described in (7) above further includes a first device, wherein the first device includes a first tank that contains a premix material that provides the 3D printing material and water and / or a liquid admixture, a first mechanism that receives the premix material and transfers it to the first tank, and a second mechanism that mixes the premix material and the water and / or liquid admixture in the first tank, and the control unit adjusts the driving conditions of the first mechanism and the second mechanism separately based on the one or more acquired parameters as the adjustment step.
[0185] (11) The 3D printing material manufacturing system described in (7) above further includes a first device, wherein the first device includes a first tank that contains a premix material that provides the 3D printing material and water and / or a liquid admixture, a first mechanism that receives the premix material and transfers it to the first tank, a second mechanism that mixes the premix material and the water and / or liquid admixture in the first tank, and a powder sensor located between the first mechanism and the second mechanism, and the control unit acquires a detection value detected by the powder sensor as the acquisition step, and adjusts at least one aspect of the composition of the premix material and the water and / or liquid admixture based on the acquired detection value as the adjustment step. A manufacturing system.
[0186] (12) In the manufacturing system described in (10) or (11) above, in the adjusting step, the supply mode of the water and / or liquid admixture is further adjusted.
[0187] (13) The 3D printing material manufacturing system according to any one of (10) to (12) above further includes a second device, wherein the second device includes a second tank that receives a mixture of the premix material and the water and / or liquid admixture mixed in the first tank of the first device, a third mechanism that stirs the mixture in the second tank, and a fourth mechanism that extrudes the mixture stirred in the second tank into a 3D printer, and the control unit further adjusts the driving conditions of the third mechanism and / or the fourth mechanism based on the one or more acquired parameters as the adjustment step. Manufacturing system.
[0188] (14) The 3D printing material manufacturing system according to any one of (10) to (13) above, further comprising a second device, wherein the second device comprises: a second tank that receives a mixture of the premix material and the water and / or liquid admixture mixed in the first tank of the first device; a third mechanism that stirs the mixture in the second tank; a fourth mechanism that extrudes the mixture stirred in the second tank into a 3D printer; and a vibrator that promotes the received mixture to fall downward; and the control unit further adjusts the driving conditions of the vibrator based on the one or more acquired parameters as the adjustment step. Manufacturing system.
[0189] (15) A modeling system comprising: a 3D printing material manufacturing system described in any one of (7) to (14) above; and a 3D printer configured to print the 3D printing material manufactured by the 3D printing material manufacturing system.
[0190] (16) A program that causes at least one computer to execute each step of the manufacturing method described in any one of (1) to (6) above. Of course, this is not a limitation.
[0191] In addition, the reference form is added below.
[0192] [α1] A method for manufacturing a 3D printing material comprising a mixture of multiple raw materials, the method comprising: an acquisition step, an adjustment step, and a printing step; wherein the acquisition step acquires one or more parameters related to the physical properties of the 3D printing material during and / or after mixing of the 3D printing material; the adjustment step adjusts a blending aspect of at least one of the multiple raw materials of the 3D printing material based on the acquired one or more parameters; and the printing step prints the 3D printing material with the adjusted blending aspect in a predetermined area. [α2] The method for manufacturing a 3D object according to [α1], wherein the adjustment step controls a blending aspect of at least one of the multiple raw materials based on the acquired one or more parameters and preset first reference information related to the 3D printing material. [α3] The method for manufacturing a 3D object according to [α1] or [α2], wherein the adjustment step adjusts at least one or more of the blending amounts, blending speeds, blending temperatures, and blending positions of the raw materials as the blending aspects. [α4] The method for manufacturing a shaped object according to any one of [α1] to [α3], wherein, in the obtaining step, a parameter related to the viscosity and / or temperature of the 3D printing material is obtained as the one or more parameters. [α5] The method for manufacturing a shaped object according to any one of [α1] to [α4], wherein the multiple raw materials include a hydraulic material and water. [α6] The method for manufacturing a shaped object according to any one of [α1] to [α5], further comprising an unloading step, in which a process of unloading the mixed 3D printing material is performed, and in the obtaining step, one or more parameters related to the physical properties of the 3D printing material unloaded in the unloading step are obtained.[α7] A manufacturing system for 3D printing materials comprising a mixture of multiple raw materials, the manufacturing system comprising a control unit, the control unit being configured to execute an acquisition step and an adjustment step, wherein the acquisition step acquires one or more parameters related to the physical properties of the 3D printing material during and / or after mixing of the 3D printing material, and the adjustment step adjusts the blending aspect of at least one of the multiple raw materials of the 3D printing material based on the acquired one or more parameters. [α8] The manufacturing system for 3D printing materials described in [α7], further comprising a mixing tank, a stirring blade configured to stir the contents of the mixing tank, and an input unit configured to add raw materials to the mixing tank, wherein the control unit executes, as the acquisition step, a process to acquire one or more parameters related to the physical properties of the 3D printing material based on the load when the stirring blade stirs the contents of the mixing tank, and, as the adjustment step, a process to adjust the input aspect of at least one of the multiple raw materials from the input unit. [α9] The system for manufacturing 3D printing material described in [α7], further comprising a mixing tank, an unloading unit configured to be able to unload the contents of the mixing tank, and an input unit configured to be able to input raw materials into the mixing tank, wherein the control unit performs, as the acquisition step, a process for acquiring one or more parameters related to the physical properties of the 3D printing material unloaded from the unloading unit, and performs, as the adjustment step, a process for adjusting the manner in which at least one raw material among the plurality of raw materials is input from the input unit. [α10] A modeling system, comprising: the system for manufacturing 3D printing material described in any one of [α7] to [α9]; and a 3D printer configured to be able to print the 3D printing material manufactured by the system for manufacturing 3D printing material. [α11] A program, causing at least one computer to execute each step of the manufacturing method described in any one of [α1] to [α6].[α12] An estimation method for estimating the quality of a molded object, comprising: a receiving step and an estimation step, wherein the receiving step receives one or more parameters related to 3D printing, and the estimation step estimates the quality of the molded object based on the one or more parameters received in the receiving step and second reference information, wherein the second reference information is information in which at least one or more parameters related to 3D printing and the quality of the molded object are associated. [α13] An estimation system, comprising: a control unit configured to execute a receiving step and an estimation step, wherein the receiving step receives one or more parameters related to 3D printing, and the estimation step estimates the quality of the molded object based on the one or more parameters received in the receiving step and second reference information, wherein the second reference information is information in which at least one or more parameters related to 3D printing and the quality of the molded object are associated. [α14] An estimation program that causes at least one computer to execute a receiving step and an estimation step, in which one or more parameters related to 3D printing are received in the receiving step, and the quality of a modeled object is estimated in the estimation step based on the one or more parameters received in the receiving step and second reference information, wherein the second reference information is information that associates at least one or more parameters related to 3D printing with the quality of the modeled object.[β1] A modeling system comprising: a manufacturing system that manufactures 3D printing material by mixing multiple types of raw materials; a 3D printer configured to be able to print the 3D printing material manufactured by the manufacturing system; and a control unit; wherein the 3D printer comprises: a first transport unit that receives and transports the 3D printing material manufactured by the manufacturing system; a second transport unit that receives and transports the 3D printing material transported from the first transport unit; and a nozzle that prints the 3D printing material transported from the second transport unit onto a predetermined area; and the control unit is configured to be able to execute an acquisition step and a transport unit control step, wherein the acquisition step acquires one or more parameters from the manufacturing system and / or the 3D printer during and / or after mixing of the 3D printing material; and the transport unit control step controls operation of the first transport unit and / or the second transport unit based on the acquired one or more parameters. [β2] The modeling system described in [β1], wherein the one or more parameters acquired in the acquisition step include parameters related to the operation of equipment in the manufacturing system during and / or after mixing of the 3D printing material. [β3] The modeling system described in [β1] or [β2], wherein the one or more parameters acquired in the acquisition step include parameters related to the physical properties of the 3D printing material during and / or after mixing. [β4] The modeling system described in any one of [β1] to [β3], wherein the first transfer unit and / or the second transfer unit are pumps. [β5] The modeling system described in any one of [β1] to [β4], wherein the second transfer unit is a non-pulsating pump. [β6] The modeling system described in any one of [β1] to [β5], wherein the acquisition step acquires one or more parameters from the 3D printer. [β7] The molding system according to [β6], wherein the obtaining step obtains parameters related to the driving of the second transport unit, and the transport unit control step controls the operation of the first transport unit.[β8] The modeling system described in any one of [β1] to [β7], wherein the 3D printer has a first transport path located between the first transport unit and the second transport unit. [β9] The modeling system described in [β8], wherein the acquisition step acquires parameters inside the first transport path. [β10] The modeling system described in [β8] or [β9], wherein a pressure accumulator is connected to the first transport path. [β11] The modeling system described in any one of [β1] to [β10], wherein the transport unit control step controls the operation of both the first transport unit and the second transport unit based on the one or more acquired parameters. [γ1] A manufacturing system for 3D printing materials formed by mixing multiple types of raw materials, comprising a control unit, the control unit being configured to execute an acquisition step and a notification step, wherein the acquisition step acquires one or more parameters related to the operation of equipment in the manufacturing system during and / or after mixing of the 3D printing material, and the notification step issues a warning when the one or more acquired parameters exceed a predetermined threshold. [γ2] A manufacturing system for 3D printing materials described in [γ1], wherein the equipment in the manufacturing system is equipment that transports the raw materials or the 3D printing material. [γ3] A manufacturing system for 3D printing materials described in [γ1] or [γ2], wherein the notification step issues a warning that a part in the manufacturing system needs to be replaced. [δ1] A modeling system configured to be able to print 3D printing material, comprising: a control unit; a first transport unit that receives and transports the 3D printing material; a second transport unit that receives and transports the 3D printing material transported from the first transport unit; and a nozzle that prints the 3D printing material transported from the second transport unit in a predetermined area, wherein the first transport unit and / or the second transport unit are controlled by the control unit.
[0193] Although the embodiments of the present invention have been described above, these are merely examples of the present invention, and various other configurations may be adopted. Furthermore, the present invention is not limited to the above-described embodiments, and modifications and improvements within the scope of achieving the object of the present invention are included in the present invention.
[0194] 1: Information processing device, 2: Printing material manufacturing device, 3: 3D printer, 10: Communication bus, 11: Communication unit, 12: Memory unit, 13: Control unit, 14: Display unit, 15: Input unit, 21: Mixing tank, 22: Storage unit, 23: Removal unit, 24: First device, 25: Second device, 100: Manufacturing system, 131: Acquisition unit, 132: Adjustment unit, 133: Removal unit, 134: Printing unit, 135: Memory management unit, 136: Display control unit, 137: Reception unit, 138: Estimation unit, 139: Transfer unit control unit, 130: Notification unit, 200: Modeling system, 211: Stirring blade, 212: Motor, 213: Input unit, 214: feeding unit, 241: hopper, 242: first tank, 243: first screw, 244: second screw, 245: motor, 246: motor, 247: vibrator, 250: molding system, 251: hopper, 252: second tank, 253: third screw, 254: motor, 255: third tank, 256: fourth screw, 257: motor, 258: vibrator, 300: molding system, NZ: nozzle, TR1: first transfer path, TR2: second transfer path, TS1: first transfer unit, TS2: second transfer unit, P1: pump, V1, V2, V3, V4: valves, W: water
Claims
1. A manufacturing method for a molded object using a 3D printing material obtained by mixing multiple types of raw materials, comprising an acquisition step, an adjustment step, and a printing step, wherein the acquisition step acquires one or more parameters related to the physical properties of the 3D printing material during and / or after mixing of the 3D printing material, the adjustment step adjusts an aspect of the composition of at least one of the multiple types of raw materials of the 3D printing material based on the one or more acquired parameters, and the printing step prints the 3D printing material whose aspect has been adjusted in a specified area.
2. A manufacturing method for a molded object as described in claim 1, wherein the adjustment step controls an aspect of the blending of at least one of the multiple types of raw materials based on the one or more acquired parameters and first reference information regarding a preset 3D printing material.
3. A method for manufacturing a molded object as claimed in claim 1 or 2, wherein in the adjustment step, at least one of the amounts, speeds, temperatures and positions of the raw materials to be mixed is adjusted as aspects related to the mixing.
4. A method for manufacturing a molded object according to any one of claims 1 to 3, wherein in the acquisition step, parameters related to the viscosity and / or temperature of the 3D printing material are acquired as the one or more parameters.
5. A method for manufacturing a shaped object according to any one of claims 1 to 4, wherein the plurality of raw materials include a hydraulic material, and water and / or a liquid admixture.
6. A method for manufacturing a molded object according to any one of claims 1 to 5, further comprising an extraction step, wherein in the extraction step, a process is performed to extract the 3D printing material after mixing, and in the acquisition step, one or more parameters relating to the physical properties of the 3D printing material extracted in the extraction step are acquired.
7. A manufacturing system for 3D printing material made by mixing multiple types of raw materials, comprising a control unit, the control unit being configured to be able to execute an acquisition step and an adjustment step, in which the acquisition step acquires one or more parameters related to the physical properties of the 3D printing material during the mixing process and / or after mixing of the 3D printing material, and in the adjustment step, adjusts an aspect of the composition of at least one of the multiple types of raw materials of the 3D printing material based on the one or more acquired parameters.
8. A manufacturing system for 3D printing material as described in claim 7, further comprising a mixing tank, an agitator configured to agitate the contents of the mixing tank, and an input unit configured to input raw material into the mixing tank, wherein the control unit executes, as the acquisition step, a process to acquire one or more parameters related to the physical properties of the 3D printing material based on the load when the agitator agitates the contents of the mixing tank, and executes, as the adjustment step, a process to adjust the manner in which at least one of the multiple types of raw materials is input from the input unit.
9. A manufacturing system for 3D printing material as described in claim 7, further comprising a mixing tank, an removal section configured to be able to remove the contents of the mixing tank, and an input section configured to be able to input raw material into the mixing tank, wherein the control unit executes, as the acquisition step, a process for acquiring one or more parameters related to the physical properties of the 3D printing material removed from the removal section, and, as the adjustment step, a process for adjusting the manner in which at least one of the multiple types of raw materials is input from the input section.
10. A manufacturing system for 3D printing material as described in claim 7, further comprising a first device, wherein the first device comprises: a first tank that contains a premix material for providing the 3D printing material and water and / or a liquid admixture; a first mechanism that receives the premix material and transfers it to the first tank; and a second mechanism that mixes the premix material and the water and / or liquid admixture in the first tank, wherein the control unit adjusts the driving conditions of the first mechanism and the driving conditions of the second mechanism separately based on the one or more acquired parameters as the adjustment step.
11. A manufacturing system for 3D printing material as described in claim 7, further comprising a first device, wherein the first device comprises: a first tank that contains a premix material for providing the 3D printing material and water and / or a liquid admixture; a first mechanism that receives the premix material and transfers it to the first tank; a second mechanism that mixes the premix material and the water and / or liquid admixture in the first tank; and a powder sensor located between the first mechanism and the second mechanism, wherein the control unit acquires a detection value detected by the powder sensor as the acquisition step, and adjusts an aspect of the composition of at least one of the premix material and the water and / or liquid admixture based on the acquired detection value as the adjustment step.
12. A manufacturing system according to claim 10 or 11, wherein the adjusting step further includes adjusting the supply mode of the water and / or liquid admixture.
13. A manufacturing system for 3D printing material as described in any one of claims 10 to 12, further comprising a second device, wherein the second device comprises: a second tank that receives a mixture of the premix material and the water and / or liquid admixture mixed in the first tank of the first device; a third mechanism that stirs the mixture in the second tank; and a fourth mechanism that extrudes the mixture stirred in the second tank to a 3D printer, wherein the control unit further adjusts the driving conditions of the third mechanism and / or the fourth mechanism based on the one or more acquired parameters as the adjustment step.
14. A manufacturing system for 3D printing material as described in any one of claims 10 to 13, further comprising a second device, wherein the second device comprises: a second tank that receives a mixture of the premix material and the water and / or liquid admixture mixed in the first tank of the first device; a third mechanism that stirs the mixture in the second tank; a fourth mechanism that extrudes the mixture stirred in the second tank to a 3D printer; and a vibrator that promotes the received mixture to fall downward, and wherein the control unit further adjusts the driving conditions of the vibrator based on the one or more acquired parameters as the adjustment step.
15. A modeling system comprising: a 3D printing material manufacturing system according to any one of claims 7 to 14; and a 3D printer configured to print the 3D printing material manufactured by the 3D printing material manufacturing system.
16. A program causing at least one computer to execute each step of the manufacturing method according to any one of claims 1 to 6.
Citation Information
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