Molding setting condition presentation system, molding setting condition presentation method, program, and recording medium

Abstract

To provide a molding setting condition presentation system which can accurately set setting conditions including at least one of molding conditions and analysis conditions.SOLUTION: The molding setting condition presentation system is provided with: a server 9 for storing molded article information in which setting conditions are associated with a first molded article having a plurality of shape feature quantities; and a control device 1 for presenting the first molded article having a setting condition similar to a setting condition of a second molded article among the first molded articles when setting the setting condition for the second molded article. The control device 1 acquires a comparison value between a shape feature quantity of the first molded article and a shape feature quantity of the second molded article for each of the plurality of shape feature quantities, multiplies the comparison value for each of the plurality of shape feature quantities by a weighting value, and then adds them to acquire a similarity index, thereby presenting the first molded article having a setting condition similar to the setting condition of the second molded article based on the similarity index.SELECTED DRAWING: Figure 5

Description

[Technical Field]

[0001] The present invention relates to a molding setting condition presentation system, a molding setting condition presentation method, a program, and a recording medium. [Background technology]

[0002] BACKGROUND ART Conventionally, molding setting condition presentation systems are known (see, for example, Patent Document 1).

[0003] The above-mentioned Patent Document 1 discloses a design support system (molding setting condition presentation system) configured to extract mold data as molding conditions when molding a molded product using a mold based on data of similar molded products stored in a database in the past. This design support system is configured to calculate the similarity based on the error between the dimensions of the molded product stored in the database and the dimensions of the molded product for which molding conditions are set. [Prior art documents] [Patent documents]

[0004] [Patent Document 1] Japanese Patent Application Laid-Open No. 2017-224246 Summary of the Invention [Problem to be solved by the invention]

[0005] The design support system of Patent Document 1 calculates the degree of similarity based on the error between the dimensions of a molded product stored in a database and the dimensions of the molded product for which molding conditions are set. Therefore, past molded products with dimensions similar to the molded product for which molding conditions are set are extracted. In this case, even if the dimensions of the molded products are similar, the molding conditions are not necessarily similar, and it may be difficult to set the molding conditions accurately. Furthermore, when setting molding conditions for a molded product, analysis (simulation) may be performed. In this case, analysis conditions for the molded product are set and then analyzed. In this case, even if the dimensions of the molded products are similar, the analysis conditions are not necessarily similar, and it may be difficult to set the analysis conditions accurately. This poses a problem in that it is difficult to accurately set setting conditions, including at least one of molding conditions and analysis conditions.

[0006] This invention has been made to solve the above-mentioned problems, and one object of this invention is to provide a molding setting condition presentation system, a molding setting condition presentation method, a program, and a recording medium that are capable of accurately setting setting conditions including at least one of molding conditions and analysis conditions. [Means for solving the problem]

[0007] In order to achieve the above-mentioned object, a molding setting condition presentation system according to a first aspect of the present invention comprises a server that stores molded product information in which setting conditions including at least one of molding conditions and analysis conditions are associated with a first molded product having a plurality of shape features, and a control device that, when setting conditions are set for a second molded product, presents a first molded product among the first molded products with setting conditions similar to the setting conditions of the second molded product.The control device obtains comparison values between the shape features of the first molded product and the shape features of the second molded product for each of the plurality of shape features, multiplies the comparison values for each of the plurality of shape features by a weighting value and then adds them together to obtain a similarity index, and presents a first molded product with setting conditions similar to the setting conditions of the second molded product based on the similarity index.

[0008] In the molding setting condition presentation system according to the first aspect of the present invention, as described above, the control device acquires comparison values between the shape feature values of the first molded product and the shape feature values of the second molded product for each of the plurality of shape feature values, multiplies the comparison values for each of the plurality of shape feature values by a weighting value and then adds them together to obtain a similarity index, and presents the first molded product having setting conditions similar to the setting conditions of the second molded product based on the similarity index. This allows the presentation of a first molded product whose molding setting conditions are similar to those of the second molded product, since the comparison values of the plurality of shape feature values are multiplied by a weighting value and then added together to obtain a similarity index. Furthermore, since the comparison values of the plurality of shape feature values can be taken into account, the first molded product whose setting conditions are similar to those of the second molded product can be accurately extracted. This allows the setting conditions, including at least one of molding conditions and analysis conditions, to be accurately set.

[0009] In the molding setting condition presentation system according to the first aspect, the control device, when setting the setting conditions for the second molded product, preferably increases the weighting value of a shape feature quantity among the plurality of shape feature quantities that has a high contribution to the setting conditions, and decreases the weighting value of a shape feature quantity among the plurality of shape feature quantities that has a low contribution to the setting conditions. With this configuration, the weighting value of a shape feature quantity that has a high contribution to the setting conditions can be increased to acquire the similarity, and therefore the first molded product, whose setting conditions are similar to those of the second molded product, can be extracted with higher accuracy.

[0010] In the molding setting condition presentation system according to the first aspect, the control device preferably extracts a plurality of first molded products having setting conditions similar to the setting conditions of the second molded product based on the similarity index, and presents the plurality of first molded products in order of similarity index. With this configuration, the plurality of first molded products can be presented in order of proximity to the setting conditions of the second molded product, allowing the user to easily select a more suitable first molded product from the plurality of first molded products.

[0011] In the molding setting condition presentation system according to the first aspect, the control device preferably extracts and presents first molded products whose similarity indexes are within a predetermined range. This configuration can prevent first molded products that are not close to the setting conditions of the second molded product from being presented, thereby preventing the setting conditions of the second molded product from being set to inappropriate conditions.

[0012] In the molding setting condition presentation system according to the first aspect, the control device preferably acquires a comparison value between the normalized shape feature value of the first molded product and the normalized shape feature value of the second molded product for each of the plurality of shape feature values, multiplies the comparison value for each of the plurality of shape feature values by a weighting value, and then adds the resulting values to acquire a similarity index. With this configuration, the maximum and minimum values can be made uniform among the plurality of shape feature values, and the weighting value can be used to easily adjust the weighting of the comparison values of the plurality of shape feature values.

[0013] In the molding setting condition presentation system according to the first aspect, the shape feature quantity preferably includes at least one of the volume, surface area, average wall thickness, and shape complexity of the molded product. With this configuration, the volume, surface area, average wall thickness, and shape complexity of the molded product, which are relatively easy to calculate, can be used as the shape feature quantity, thereby preventing an increase in the processing load required to obtain the shape feature quantity.

[0014] In the molding setting condition presentation system according to the first aspect, the control device preferably presents a prediction of the occurrence of defects in the second molded product based on setting conditions for the first molded product similar to setting conditions for the second molded product. With this configuration, the user can easily recognize whether or not defects will occur in the molding of the second molded product.

[0015] A molding setting condition presentation method according to a second aspect of the present invention includes a step of acquiring molded product information from a server, in which setting conditions including at least one of molding conditions and analysis conditions are associated with a first molded product having a plurality of shape features, and a step of presenting a first molded product among the first molded products having setting conditions similar to the setting conditions of the second molded product when setting setting conditions for the second molded product. The step of presenting a first molded product having setting conditions similar to the setting conditions of the second molded product includes acquiring comparison values between the shape features of the first molded product and the shape features of the second molded product for each of the plurality of shape features, multiplying the comparison values for each of the plurality of shape features by a weighting value and then adding them together to obtain a similarity index, and presenting a first molded product having setting conditions similar to the setting conditions of the second molded product based on the similarity index.

[0016] In a molding setting condition suggestion method according to a second aspect of the present invention, as described above, comparison values between shape feature values of a first molded product and shape feature values of a second molded product are obtained for each of the shape feature values, the comparison values for each of the shape feature values are multiplied by weighting values and then added together to obtain a similarity index, and the first molded product having setting conditions similar to the setting conditions of the second molded product is suggested based on the similarity index. This allows the suggestion of a first molded product whose molding setting conditions are similar to those of the second molded product, since the comparison values of the multiple shape feature values are multiplied by weighting values and then added together to obtain a similarity index. Furthermore, since the comparison values of the multiple shape feature values can be taken into account, the first molded product having setting conditions similar to those of the second molded product can be accurately extracted. This provides a molding setting condition suggestion method capable of accurately setting setting conditions including at least one of molding conditions and analysis conditions.

[0017] A program according to a third aspect of the present invention causes a computer to execute the molding setting condition presentation method according to the second aspect.

[0018] In a program according to a third aspect of the present invention, by causing a computer to execute the molding setting condition presentation method according to the second aspect, it is possible to accurately set setting conditions including at least one of molding conditions and analysis conditions.

[0019] A storage medium according to a fourth aspect of the present invention has the program according to the third aspect recorded thereon and is computer-readable.

[0020] In a storage medium according to a fourth aspect of the present invention, by recording a program according to the third aspect, it is possible to provide a computer-readable storage medium capable of accurately setting setting conditions including at least one of molding conditions and analysis conditions. [Effects of the Invention]

[0021] According to the present invention, as described above, it is possible to set the setting conditions including at least one of the molding conditions and the analysis conditions with high accuracy. [Brief explanation of the drawings]

[0022] [Figure 1] 1 is a block diagram showing an example of the configuration of a molding setting condition presentation system according to an embodiment. [Figure 2] FIG. 10 is a diagram showing an example of a screen for presenting setting conditions of a molding setting condition presentation system according to an embodiment. [Figure 3] FIG. 10 is a diagram showing an example of setting conditions stored in a server of a molding setting condition presentation system according to an embodiment. [Figure 4] 10A and 10B are diagrams for explaining calculation of shape complexity of the molding setting condition presentation system according to an embodiment. [Figure 5] 10 is a flowchart for explaining a setting condition presentation process by a molding setting condition presentation system according to an embodiment. DETAILED DESCRIPTION OF THE INVENTION

[0023] DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS Hereinafter, specific embodiments of the present invention will be described with reference to the accompanying drawings.

[0024] A molding setting condition presentation system 100 according to one embodiment will be described with reference to FIGS.

[0025] The molding setting condition presentation system 100 according to this embodiment presents molding conditions for similar molded products in the past when setting molding conditions for a new molded product. The user sets molding conditions for the new molded product based on the presented past molding conditions. Furthermore, when simulating and analyzing molding conditions for a new molded product, the molding setting condition presentation system 100 presents analysis conditions for similar molded products in the past when setting analysis conditions. Furthermore, when simulating and analyzing molding conditions for a new molded product, the molding setting condition presentation system 100 presents a prediction of the occurrence of defects. The user sets analysis conditions for the new molded product based on the presented past analysis conditions.

[0026] (Device configuration example) The molding setting condition presentation method by the molding setting condition presentation system 100 according to this embodiment can be implemented by having the control device 1 execute the program 3a. As shown in FIG. 1, the molding setting condition presentation system 100 includes the control device 1 and a server 9. The control device 1 is configured to be able to execute the program 3a. Note that some or all of the processing performed by having the control device 1 execute the program 3a may be performed by hardware such as a dedicated arithmetic circuit. The control device 1 is an example of a "computer" in the claims.

[0027] 1, the control device 1 includes one or more processors 2 each including a central processing unit (CPU) or the like, and a storage unit 3 including a read-only memory (ROM), a random access memory (RAM), and a storage device such as a hard disk drive or a semiconductor storage device.

[0028] The control device 1 is capable of performing resin molding analysis by causing the processor 2 to execute the program 3a stored in the storage unit 3. The program 3a may be read from a recording medium 7 or may be provided from an external server or the like via a transmission path 8 such as a network such as the Internet or a LAN (Local Area Network). The recording medium 7 is a computer-readable recording medium such as an optical disk, a magnetic disk, or a nonvolatile semiconductor memory, and has the program 3a recorded thereon.

[0029] In addition to the program 3a, various analysis data 3b used for resin molding analysis are stored in the storage unit 3. The analysis data 3b includes resin molding information including resin molding condition information and characteristics of the resin molded product, parameters for simulating the state of the resin during molding and the details of the characteristics of the molded product, product category information, shape feature values, a group of optimal parameters, error rates, numerical data used for analysis, data on analysis conditions, etc.

[0030] The control device 1 also includes a display unit 4 such as a liquid crystal display device, an input unit 5 including input devices such as a keyboard and a mouse, and a reading unit 6 for reading the program 3a and various data from a recording medium 7. The reading unit 6 is a reader device or the like depending on the type of recording medium 7. The user can input data on analysis conditions using the input unit 5. The analysis data 3b is set by the user selecting and inputting settings based on the results presented by the molding setting condition presentation system 100. The analysis data 3b may also be read from a recording medium created by the user, or may be created by the user on an external server and obtained from the external server via a transmission path 8.

[0031] The server 9 is communicably connected to the control device 1. The server 9 stores setting conditions for past molded products (first molded products). Specifically, the server 9 stores molded product information in which setting conditions including at least one of molding conditions and analysis conditions are associated with first molded products having a plurality of shape feature values. For example, as shown in FIG. 3, the server 9 stores setting conditions associated with a plurality of past molded products (first molded products) as a database.

[0032] (How to present molding setting conditions) Next, a molding setting condition presentation method will be described. In this embodiment, when setting setting conditions for a new molded product (second molded product), the molding setting condition presentation method presents a past molded product (first molded product) with setting conditions similar to those of the new molded product. The setting conditions include at least one of molding conditions and analysis conditions for resin molding.

[0033] Molding conditions for resin molding include conditions for the mold used to mold the resin, conditions for the shape of the molded product, conditions for the resin material, etc. Specifically, molding conditions include runner shape, cooling pipe shape, molding process type (injection molding, compression molding, etc.), conditions during resin molding (filling conditions (injection speed, injection time, resin temperature), holding conditions (holding pressure, holding time), mold conditions (mold temperature), mold cooling conditions, valve gate, resin data, molding machine data (molding machine size and type), etc.), mold information (mold dimensions, mold material, mold structure, parting line, etc.), mold clamping direction, nozzle and gate conditions (nozzle position, nozzle diameter, gate position, gate shape, etc.), and defect judgment thresholds (jetting, temperature unevenness, etc.).

[0034] Analysis conditions for resin molding include conditions for the mold used to mold the resin, conditions for the shape of the molded product, conditions for the resin material, etc. Specifically, analysis conditions include runner shape / mesh, cooling pipe shape / mesh, mesh division conditions, molding process type (injection molding, compression molding, etc.), conditions for resin molding (filling conditions (injection speed, injection time, resin temperature), holding conditions (holding pressure, holding time), mold conditions (mold temperature), mold cooling conditions, valve gate, resin data, molding machine data (molding machine size and type), etc.), mold information (mold dimensions, mold material, mold structure, parting line, etc.), analysis parameters, calculation step settings, result output settings, mold clamping direction, nozzle and gate conditions (nozzle position, nozzle diameter, gate position, gate shape, etc.), and defect judgment thresholds (jetting, temperature unevenness, etc.).

[0035] In a resin molding analysis (simulation), for example, analysis mesh information in which a molded product is divided into multiple analysis meshes (small elements), material data, molding conditions, and analysis parameters are input, and injection molding analysis is performed based on the input information.Then, as analysis results, information such as the resin filling pattern, resin pressure, temperature, resin orientation, physical properties, warpage, roundness, filling pattern, geometric tolerance, and predicted locations of appearance defects (welds, sink marks, flow marks, burns, silver streaks) is output.

[0036] The information entered for the analysis includes product category information (application, field), analysis (calculation) mesh information (element type, number of elements, number of nodes, division conditions, element quality), resin data (resin manufacturer, grade name, base resin, latent heat, solidification temperature, density, specific heat, thermal conductivity, melt viscosity, PVT data, elastic modulus, Poisson's ratio, linear expansion coefficient, molding shrinkage rate, mechanical strength, reinforcement properties, reinforcement content, viscoelastic properties (Prony series, shift factor), optical properties (stress optical coefficient, photoelastic coefficient, refractive index, molecular structure, gelation reaction rate, curing reaction heat), molding conditions (time, filling rate It includes information such as upper pressure limit, screw position, screw speed, flow rate, metering position, resin temperature, mold temperature, VP switching timing, hold pressure, hold time, in-mold cooling conditions, cycle time), mold conditions (nozzle position, gate position, parting surface, number of gates, runner layout, cooling circuit, ejector pin arrangement), boundary conditions (nozzle flow rate and pressure, heat transfer coefficient, ambient temperature, ambient humidity), molding machine information (molding machine manufacturer name, molding machine model number, maximum injection speed, maximum injection pressure, maximum hold pressure, screw diameter, maximum mold clamping force, maximum injection capacity), and rigidity information of the molded product.

[0037] To analyze a new molded part (second molded part), it is necessary to set the above-mentioned setting conditions. In this case, since setting the setting conditions for a new molded part is a heavy workload, the user sets the analysis conditions based on reference setting conditions. For example, the user sets the setting conditions for the new molded part based on a default template categorized by shape, etc.

[0038] In this embodiment, the molding setting condition presentation system 100 presents, as setting conditions for the user's reference, setting conditions of past molded products (first molded products) that have setting conditions similar to those of a new molded product (second molded product) from among setting conditions of past molded products (first molded products) stored in the server 9. In other words, when setting setting conditions for a new molded product (second molded product), the control device 1 presents past molded products (first molded products) with setting conditions similar to those of the new molded product.

[0039] In addition, in this embodiment, the control device 1 obtains comparison values between the shape features of a past molded product (first molded product) and the shape features of a new molded product (second molded product) for each of multiple shape features, multiplies the comparison values for each of the multiple shape features by a weighting value, and then adds them together to obtain a similarity index, and based on the similarity index, presents a first molded product with setting conditions similar to the setting conditions of the second molded product.

[0040] For example, as shown in Fig. 2, the control device 1 displays a plurality of past molded products (first molded products) with similar setting conditions on the display unit 4. Then, the control device 1 displays the setting conditions of the selected past molded product (first molded product) based on a selection operation by the user.

[0041] Specifically, when setting the setting conditions for a new molded product (second molded product), the control device 1 increases the weighting value of the shape feature quantity among the multiple shape feature quantities that has a high contribution to the setting conditions, and decreases the weighting value of the shape feature quantity among the multiple shape feature quantities that has a low contribution to the setting conditions.

[0042] In addition, the control device 1 obtains comparison values between the normalized shape feature values of the previous molded product (first molded product) and the normalized shape feature values of the new molded product (second molded product) for each of the multiple shape feature values, multiplies the comparison values for each of the multiple shape feature values by a weighting value, and then adds them together to obtain a similarity index.

[0043] The shape feature amount includes at least one of the volume of the molded product, the surface area of the molded product, the average wall thickness of the molded product, and the shape complexity of the molded product.

[0044] Similarity index L j is calculated, for example, by the following formula (1).

number

number

[0045] Also, X i j_norm and Y i j_norm are calculated by the following formulas (3) and (4), respectively.

number

[0046] In addition, the maximum value X of the shape feature value (i) of the past multiple molded products (first molded products) stored in the server 9 i max and minimum value X i minare the maximum and minimum values, respectively, of the values of the shape feature (i) for a plurality of molded products (first molded products), excluding outliers.

[0047] For example, outliers are excluded using the IQR (interquartile range). The IQR is calculated by subtracting the first quartile from the third quartile based on the distribution of the values of the shape feature (i) for multiple molded articles (first molded articles). The upper limit of the range is then set to the third quartile + IQR × 1.5, and the lower limit of the range is set to the first quartile - IQR × 1.5. Values greater than the upper limit of the range and values smaller than the lower limit of the range are considered to be outliers.

[0048] Also, in equation (1), w i is a weighting value for the shape feature (i). Here, the higher the contribution of a shape feature (i) to the set conditions, the higher the weighting value for the shape feature (i). i The value of becomes larger.

[0049] The control device 1 determines that the smaller the similarity index, the higher the similarity. In other words, the smaller the difference value, which is the comparison value between the shape feature amount of the past molded product (first molded product) and the shape feature amount of the new molded product (second molded product), the closer the shape feature amounts are, and therefore the more similar they are, the smaller the similarity index becomes.

[0050] Furthermore, the control device 1 extracts and presents past molded products (first molded products) whose similarity indexes are within a predetermined range. For example, the control device 1 extracts and presents past molded products (first molded products) whose similarity indexes are smaller than a predetermined threshold value.

[0051] Furthermore, the control device 1 extracts multiple past molded products (first molded products) with setting conditions similar to those of the new molded product (second molded product) based on the similarity index, and presents the multiple past molded products (first molded products) in order of similarity index. For example, the control device 1 ranks the multiple past molded products (first molded products) in order of smallest similarity index (in order of most similar), and displays them on the display unit 4. In this case, the control device 1 does not display the value of the similarity index. Note that the control device 1 may also display the value of the similarity index together with the multiple past molded products (first molded products) for the user's reference.

[0052] The control device 1 also acquires shape feature quantities based on the input data of the new molded product (second molded product). For example, the control device 1 acquires the volume as a shape feature quantity from the shape data of the new molded product (second molded product). The control device 1 also acquires the area (surface area) as a shape feature quantity from the shape data of the new molded product (second molded product). The control device 1 also acquires the average wall thickness as a shape feature quantity from the shape data of the new molded product (second molded product).

[0053] The control device 1 also acquires shape complexity as a shape feature quantity from the shape data of the new molded product (second molded product). Specifically, the shape complexity is calculated as an index showing the complexity of the shape of the molded product. The shape complexity increases as the angles at each of the multiple vertices of the three-dimensional shape of the molded product decrease. In other words, the shape complexity indicates how angular the three-dimensional shape of the molded product is.

[0054] For example, the control device 1 calculates the shape complexity Ic using the following equation (5).

number

[0055] The shape data of the molded product includes STL data (polygon data). In STL data, each position in the three-dimensional shape is represented by a point, and these points are connected. Since each point in the three-dimensional shape is a vertex, the shape complexity is calculated by using the angles of the development diagram at these vertices.

[0056] (Setting condition presentation process) Referring to FIG. 5, the setting condition presentation process by the control device 1 of the molding setting condition presentation system 100 will be described.

[0057] 5, the control device 1 receives input of new shape data (shape data of the second molded product). In step S2, the control device 1 calculates each shape feature value of the new molded product (the second molded product) based on the new shape data (shape data of the second molded product).

[0058] In step S3, the control device 1 acquires shape data of the past molded product (first molded product) from the database of the server 9. The control device 1 also acquires each shape feature value of the past molded product (first molded product). In this case, if the database contains shape feature values, the shape feature values are acquired. On the other hand, if the database does not contain shape feature values, the shape feature values of the past molded product (first molded product) are calculated based on the shape data of the past molded product.

[0059] In step S4, the control device 1 calculates a similarity index based on the shape feature values of the new molded product (second molded product), the shape feature values of the past molded products (first molded products), and weighting values according to the shape feature values. In step S5, the control device 1 extracts data of the past molded products (first molded products) that are similar to the new molded product (second molded product) based on the similarity indexes calculated for each of the multiple past molded products (first molded products).

[0060] In step S6, the control device 1 displays data of a similar past molded product (first molded product). That is, the control device 1 presents a past molded product (first molded product) with setting conditions similar to those of the new molded product (second molded product).

[0061] In step S7, the control device 1 accepts the user's selection from the presented past molded products (first molded products) and sets the setting conditions of the past molded product (first molded product) to be used for setting the setting conditions for the new molded product (second molded product).The user then confirms the setting conditions and fine-tunes them.After that, in step S8, an analysis (simulation) of resin molding of the molded product is performed based on the setting conditions.

[0062] (Effects of this embodiment) The effects of this embodiment will be described.

[0063] In this embodiment, as described above, the control device 1 acquires comparison values between the shape feature values of the first molded product and the shape feature values of the second molded product for each of the plurality of shape feature values, multiplies the comparison values for each of the plurality of shape feature values by a weighting value, and then adds them together to obtain a similarity index. Based on the similarity index, the control device 1 presents first molded products with setting conditions similar to those of the second molded product. This allows the control device 1 to present first molded products with molding setting conditions similar to those of the second molded product. Furthermore, the control device 1 can take into account the comparison values of the plurality of shape feature values, thereby accurately extracting first molded products with setting conditions similar to those of the second molded product. This allows the control device 1 to accurately set setting conditions, including at least one of molding conditions and analysis conditions.

[0064] Furthermore, in this embodiment, as described above, when setting the set conditions for the second molded product, the control device 1 increases the weighting value of a shape feature quantity among the multiple shape feature quantities that has a high contribution to the set conditions, and decreases the weighting value of a shape feature quantity among the multiple shape feature quantities that has a low contribution to the set conditions. This increases the weight of a shape feature quantity that has a high contribution to the set conditions, making it possible to acquire similarity, and therefore to more accurately extract the first molded product whose set conditions are similar to those of the second molded product.

[0065] Furthermore, in this embodiment, as described above, the control device 1 extracts a plurality of first molded products having setting conditions similar to the setting conditions of the second molded product based on the similarity index, and presents the plurality of first molded products in order of similarity index. This allows the plurality of first molded products to be presented in order of proximity to the setting conditions of the second molded product, allowing the user to easily select a more suitable first molded product from the plurality of first molded products.

[0066] In this embodiment, as described above, the control device 1 extracts and presents first molded products whose similarity indexes are within a predetermined range. This makes it possible to prevent first molded products that are not close to the setting conditions of the second molded product from being presented, and therefore to prevent the setting conditions of the second molded product from being set to inappropriate conditions.

[0067] Furthermore, in this embodiment, as described above, the control device 1 acquires a comparison value between the normalized shape feature value of the first molded product and the normalized shape feature value of the second molded product for each of the plurality of shape feature values, multiplies the comparison value for each of the plurality of shape feature values by a weighting value, and then adds them together to acquire a similarity index. This makes it possible to align the maximum and minimum values among the plurality of shape feature values, and therefore makes it possible to easily adjust the weighting of the comparison values of the plurality of shape feature values using the weighting value.

[0068] In addition, in this embodiment, as described above, the shape feature value includes at least one of the volume, surface area, average wall thickness, and shape complexity of the molded product of the molded product. This allows the volume, surface area, average wall thickness, and shape complexity of the molded product of the molded product, which are relatively easy to calculate, to be used as the shape feature value, thereby preventing an increase in the processing load required to acquire the shape feature value.

[0069] In this embodiment, as described above, the control device 1 presents a prediction of the occurrence of defects in the second molded product based on the first molded product set under conditions similar to those of the second molded product, thereby enabling the user to easily recognize whether defects will occur in the molding of the second molded product.

[0070] (Variation) The embodiments disclosed herein should be considered to be illustrative and not restrictive in all respects. The scope of the present invention is defined by the claims rather than the above description of the embodiments, and further includes all modifications (variations) within the meaning and scope of the claims.

[0071] For example, in the above embodiment, an example of a configuration was shown in which a control device that analyzes (simulates) a new molded product (second molded product) presents a past molded product (first molded product) with similar setting conditions, but the present invention is not limited to this. In the present invention, a control device separate from the control device that analyzes (simulates) the new molded product (second molded product) may present a past molded product (first molded product) with setting conditions similar to those of the new molded product (second molded product).

[0072] In the above embodiment, a difference value is used as a comparison value between the shape feature value of the first molded product and the shape feature value of the second molded product, but the present invention is not limited to this. In the present invention, the comparison value between the shape feature value of the first molded product and the shape feature value of the second molded product may be a ratio (division value) of the shape feature value of the first molded product to the shape feature value of the second molded product.

[0073] In the above embodiment, the similarity index is calculated by multiplying the difference between the shape feature quantities of the first molded product and the shape feature quantities of the second molded product by a weighting value, squaring the result, adding the values, and taking the square root. However, the present invention is not limited to this. In the present invention, the similarity index may be calculated by assigning an absolute value to the difference between the shape feature quantities of the first molded product and the shape feature quantities of the second molded product, multiplying the result by a weighting value, and adding the values.

[0074] In addition, in the above embodiment, an example of a configuration in which molding setting conditions for resin molding are presented is shown, but the present invention is not limited to this. In the present invention, a configuration in which molding setting conditions for molding other than resin molding are presented may also be used.

[0075] In the above embodiment, an example of a configuration was shown in which a first molded product having setting conditions similar to those of the second molded product is extracted and presented using a similarity index based on the shape feature values of the first molded product and the shape feature values of the second molded product, but the present invention is not limited to this. In the present invention, first molded products having setting conditions similar to those of the second molded product may be further narrowed down and extracted based on the type of material to be molded and the similarity in addition to the shape feature values.

[0076] Furthermore, in the above embodiment, for convenience of explanation, the processing operation of the control device is described using a flow-driven flowchart in which processing is performed in order according to a processing flow, but the present invention is not limited to this. In the present invention, the processing operation of the control device may be performed by event-driven processing in which processing is performed on an event-by-event basis. In this case, the processing may be performed completely event-driven, or may be performed by combining event-driven and flow-driven processing. [Explanation of symbols]

[0077] 1. Control device (computer) 3a Program 7 Storage medium 9 Server 100 Molding setting condition presentation system

Claims

1. a server that stores molded product information in which setting conditions including at least one of molding conditions and analysis conditions are associated with a first molded product having a plurality of shape feature values; a control device that, when setting the set conditions for the second molded product, presents the first molded product having set conditions similar to the set conditions for the second molded product among the first molded products, The control device acquires a comparison value between the shape feature of the first molded product and the shape feature of the second molded product for each of the plurality of shape feature values, multiplies the comparison value for each of the plurality of shape feature values by a weighting value and then adds them together to obtain a similarity index, and presents the first molded product with setting conditions similar to the setting conditions of the second molded product based on the similarity index.

2. 2. The molding setting condition presentation system according to claim 1, wherein, when setting the setting conditions for the second molded product, the control device increases the weighting value of the shape feature quantities among the plurality of shape feature quantities that have a high contribution to the setting conditions, and decreases the weighting value of the shape feature quantities among the plurality of shape feature quantities that have a low contribution to the setting conditions.

3. The molding setting condition presentation system according to claim 1 or 2, wherein the control device extracts a plurality of first molded products having setting conditions similar to the setting conditions of the second molded product based on the similarity index, and presents the plurality of first molded products in order of the similarity index.

4. The molding setting condition presentation system according to claim 1 or 2, wherein the control device extracts and presents the first molded product whose similarity index is within a predetermined range.

5. 3. The molding setting condition presentation system according to claim 1, wherein the control device acquires the comparison value between the normalized shape feature of the first molded product and the normalized shape feature of the second molded product for each of the plurality of shape feature quantities, multiplies the comparison value for each of the plurality of shape feature quantities by a weighting value, and then adds the resulting values together to acquire the similarity index.

6. The molding setting condition presentation system according to claim 1 or 2, wherein the shape feature amount includes at least one of a volume of the molded product, a surface area of the molded product, an average wall thickness of the molded product, and a shape complexity of the molded product.

7. The molding setting condition presentation system according to claim 1 or 2, wherein the control device presents a prediction of the occurrence of defects in the second molded product based on the first molded product having setting conditions similar to the setting conditions of the second molded product.

8. acquiring, from a server, molded product information in which setting conditions including at least one of molding conditions and analysis conditions are associated with a first molded product having a plurality of shape feature values; When setting the set conditions for the second molded product, a step of presenting the first molded product having set conditions similar to the set conditions for the second molded product among the first molded products is provided, The step of presenting the first molded product under setting conditions similar to the setting conditions of the second molded product includes obtaining a comparison value between the shape feature of the first molded product and the shape feature of the second molded product for each of the plurality of shape feature quantities, multiplying the comparison value for each of the plurality of shape feature quantities by a weighting value and then adding the weighted values to obtain a similarity index, and presenting the first molded product under setting conditions similar to the setting conditions of the second molded product based on the similarity index.

9. A program for causing a computer to execute the molding setting condition presentation method according to claim 8.

10. A computer-readable recording medium on which the program according to claim 9 is recorded.

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