A method and system for analyzing the printing quality of a 3D printer

Abstract

The present invention discloses a method for analyzing the printing quality of a 3D printer. At the beginning of 3D printing, the printing quality analysis device communicates with the 3D printing device, sends an inquiry signal to the 3D printing device, and obtains the type information of the 3D printing device and the raw material information used; according to the obtained type information of the 3D printing device and the raw material information used, a corresponding quality analysis strategy is selected; after the printing quality analysis device determines the quality analysis strategy, an enabling signal is sent to the 3D printing device, and the 3D printing device starts printing according to the received enabling signal; according to the determined quality analysis strategy, the printing model at a specific time point during printing is subjected to quality analysis. In the printing process of the present invention, different observation layers are set according to different strategies, and compared with the simulated layer pictures to determine whether there are problems in printing for quality analysis.

Description

Technical Field

[0001] The present invention relates to the technical field of 3D printing, and particularly to a method and system for analyzing the printing quality of a 3D printer. Background Art

[0002] In the prior art, for example, patent CN202210579365.9 discloses a 3D printer product quality analysis and control system, including a management platform, a rule database, a quality detection module, a deployment control module, a production module, a finished product transfer module, a finished product storage warehouse, a sample extraction module, a processing record module, a fault safety module, and a cloud storage platform; the quality detection module is used to receive and call each group of 3D printers and perform quality detection on them; the deployment control module is used to receive the production plan and the detection results and perform control and analysis on them.

[0003] The specific quality detection method adopted is as follows: First step: The quality detection module retrieves the database table Course from the rule database and constructs a detection neural network model; Second step: Scan the identification codes of each group of 3D printers to be detected, and at the same time upload the type of the 3D printer to the detection neural network model. The detection neural network model calls relevant detection rules and detection parameters from the rule database according to the database table Course; Third step: The detection neural network model detects the parameters of each group of 3D printers, and at the same time compares the detection results with the industry standards, marks the 3D printers that do not meet the standards as unqualified, and marks the 3D printers that meet the standards as qualified; Fourth step: Draw a bar chart based on the number of qualified and unqualified 3D printers in this group and a pie chart of the proportion of each group, and at the same time collect the past detection results to draw a line chart of the number of qualified and unqualified, and upload the three sets of data charts to the management platform for staff to view; Fifth step: The detection neural network is connected to the Internet in real time and regularly obtains the 3D printer industry standard parameters for training and updating.

[0004] Currently, since the 3D printing technology has not yet formed an economies of scale in practical applications, there are few evaluation methods for the quality of 3D printer prints. Most of them are mainly visual, comparative, and descriptive content. The evaluation process is highly subjective, the content is not sufficient, the results are not objectively accurate, lacking rational analysis and the support of measurement data, and are mostly seen in the evaluation articles on IT websites and 3D printing websites.

[0005] The performance indicators of 3D printer prints include: printing accuracy, minimum printing gap, resolution, bridging performance, overhang performance, adhesion strength, surface waviness, minimum printing layer thickness, perpendicularity, etc. One or several of them cannot well evaluate the quality of the print, and currently there is no method for supervising and scoring the quality of 3D printed works.

[0006] The existing 3D printer product quality analysis and control system cannot intuitively display the production quality situation to the staff. It is necessary to manually collect data for drawing data graphs, which reduces the work efficiency of the staff. In addition, the existing 3D printer product quality analysis and control system cannot optimize the original abnormal production plan, resulting in low production quality of the 3D printer. At the same time, it cannot ensure the reliability and feasibility of the plan operation. For this reason, we propose a 3D printer product quality analysis and control system. Summary of the Invention

[0007] The present invention aims to solve at least one of the technical problems existing in the prior art. For this reason, the present invention discloses a method for analyzing the printing quality of a 3D printer, and the method includes the following steps:

[0008] Step 1, at the beginning of 3D printing, the printing quality analysis device communicates with the 3D printing device, sends an inquiry signal to the 3D printing device, and obtains the type information of the 3D printing device and the raw material information used;

[0009] Step 2, according to the obtained type information of the 3D printing device and the raw material information used, select the corresponding quality analysis strategy;

[0010] Step 3, after the printing quality analysis device determines the quality analysis strategy, send an enabling signal to the 3D printing device, and the 3D printing device starts printing according to the received enabling signal;

[0011] Step 4, according to the determined quality analysis strategy, perform quality analysis on the printing model at a specific time point during printing.

[0012] Furthermore, the step 1 further includes: the 3D printing device is an extrusion type (FDM), a stereolithography type (SLA, DLP), and a powder type (SLS), and the raw material information used is PLA, ABS, nylon, photosensitive resin, and metal.

[0013] Furthermore, the step 2 further includes: after the quality analysis device obtains the type information of the 3D printing device and the raw material information used, further obtain printing-related data, wherein the printing-related data is model data, the ID of the 3D modeling software used, and the ID of the slicing software.

[0014] Furthermore, the step 4 further includes:

[0015] Step 401: In a printing quality analysis device, the printing quality analysis device obtains three-dimensional modeling data corresponding to the printing work performed by a 3D printing device. The three-dimensional modeling data is a three-dimensional digital model constructed by using one or a combination of three-dimensional modeling software such as CAD, Creo, and SolidWorks, or a three-dimensional digital model of a 3D printed product obtained by reverse scanning a physical model using a 3D scanner.

[0016] Step 402: Perform three-dimensional digital model meshing on the three-dimensional modeling data. The surface or curve of the model of the three-dimensional modeling data is converted into a mesh shape, which is composed of a series of closely connected triangular meshes. The smaller the size of the triangle in the mesh, the smoother the surface formed by the mesh surface, indicating a higher geometric accuracy of the digital model. The quality analysis strategy sets different control chord heights according to different types of printing devices and materials, and changes the simulation output accuracy of the three-dimensional digital model of the 3D printing device in the printing quality analysis device by changing the setting of the chord height, and generates meshed data according to the simulation output accuracy.

[0017] Step 403: Obtain the path planning of the 3D printing device, convert the three-dimensional digital model into a multi-layer two-dimensional digital model, and further plan the processing path of each layer. The quality analysis strategy sets different observation layer positions and quantities according to different types of printing devices and materials, and the observation layer conditions corresponding to different types of printing devices and the printing materials used this time are different.

[0018] Step 404: The printing quality analysis device slices the meshed data generated according to the simulation output accuracy obtained in Step 402 using the same slicing software according to the obtained slicing software ID, and obtains a model diagram corresponding to the observation layer.

[0019] Step 405: During 3D printing, when printing to the layer where the observation layer is located, obtain an image of the printed product, compare it with the model diagram corresponding to the observation layer obtained by the printing quality analysis device, and when the difference reaches a preset value, send an interruption print signal to the 3D printing device and send an error message to the quality supervision manager's terminal device.

[0020] Furthermore, the step of changing the simulation output accuracy of the three-dimensional digital model of the 3D printing device in the printing quality analysis device by changing the setting of the chord height and generating meshed data according to the simulation output accuracy further includes: determining the accuracy corresponding to the control chord height as 50% to 85% according to the performance of the printing quality analysis device.

[0021] The present invention also provides a printing quality analysis system for a 3D printer. The system includes a 3D printing device and a printing quality analysis device. Among them, the printing quality analysis device communicates with the 3D printing device. At the beginning of 3D printing, the printing quality analysis device sends a communication signal to the 3D printing device to obtain the type information of the corresponding 3D printing device and the raw material information used in the current printing job.

[0022] The printing quality analysis device includes a strategy selection unit that selects a corresponding quality analysis strategy according to the type information of the 3D printing device and the raw material information used. After the printing quality analysis device determines the quality analysis strategy, it sends an enable signal to the 3D printing device, and the 3D printing device starts printing according to the received enable signal; and a quality analysis unit that performs quality analysis on the printing model at a specific time point during printing according to the determined quality analysis strategy.

[0023] Furthermore, the obtaining of the type information of the corresponding 3D printing device and the raw material information used in the current printing job further includes: the 3D printing device is an extrusion type (FDM), a stereolithography type (SLA, DLP), and a powder type (SLS), and the raw material information used is PLA, ABS, nylon, photosensitive resin, and metal.

[0024] Furthermore, after the printing quality analysis device obtains the type information of the 3D printing device and the raw material information used, it further obtains printing-related data. Among them, the printing-related data is model data, the 3D modeling software and slicing software ID used. Among them, the 3D modeling data is a 3D digital model constructed by using one or a combination of multiple of the 3D modeling software CAD, Creo, Sdidworks, or a 3D digital model of a 3D printing product obtained by reverse scanning a physical model using a 3D scanner.

[0025] Furthermore, the quality analysis strategy further includes: in a printing quality analysis device, the printing quality analysis device obtains three-dimensional modeling data corresponding to the printing work performed by a 3D printing device; performs three-dimensional digital model meshing processing on the three-dimensional modeling data, converts the surface or curve of the model of the three-dimensional modeling data into a mesh shape, and is composed of a series of closely connected triangular meshes. Among them, the smaller the size of the triangle in the mesh, the smoother the curved surface formed by the mesh surface, indicating the higher the geometric accuracy of the digital model. The quality analysis strategy selects and sets different control chord heights for different types of printing devices and materials, changes the simulation output accuracy of the three-dimensional digital model of the 3D printing device in the printing quality analysis device by changing the setting of the chord height, generates meshed data according to the simulation output accuracy; obtains the path planning of the 3D printing device, converts the three-dimensional digital model into a multi-layer two-dimensional digital model and further plans the processing path of each layer. The quality analysis strategy selects and sets different observation layer positions and quantities for different types of printing devices and materials, and the observation layer conditions corresponding to different types of printing devices and the printing materials used this time are different; the printing quality analysis device slices the obtained meshed data generated according to the simulation output accuracy using the same slicing software according to the obtained slicing software ID to obtain a model diagram corresponding to the observation layer; during 3D printing, when printing to the layer where the observation layer is located, obtains an image of the printed product, compares it with the model diagram corresponding to the observation layer obtained by the printing quality analysis device, and when the difference reaches a preset value, sends an interruption of printing consumption to the 3D printing device and sends an error message to the quality supervision manager's terminal device.

[0026] Furthermore, the step of changing the simulation output accuracy of the three-dimensional digital model of the 3D printing device in the printing quality analysis device by changing the setting of the chord height and generating meshed data according to the simulation output accuracy further includes: determining the accuracy as 50% to 85% according to the performance of the printing quality analysis device for the simulation output accuracy corresponding to the control chord height.

[0027] Compared with the prior art, the beneficial effects of the present invention are as follows: for a distributed 3D printing device cluster, one or several printing quality analysis devices are connected thereto. Since the types of connected 3D printing devices are different, the printing materials used are also different, and the corresponding printing quality judgment methods are also different. Therefore, the present invention adopts a strategy of obtaining the type of the printing device through the printing quality analysis device and then obtaining the corresponding quality evaluation. In order to prevent the workload of the printing quality analysis device from being too large, the method of reducing the simulation accuracy is adopted to reduce the computing power required for operation. Furthermore, another beneficial effect of the present invention is that during printing, different observation layers are set according to different strategies, compared with the simulated layer pictures, and whether there are problems in printing is judged for quality analysis. Brief Description of the Drawings

[0028] The present invention can be further understood from the following description in conjunction with the drawings. The components in the drawings are not necessarily drawn to scale, but the focus is on showing the principles of the embodiments. In the drawings, the same reference numerals designate corresponding parts in different views.

[0029] Figure 1 is a flowchart of a method for analyzing the printing quality of a 3D printer according to the present invention. Detailed Description of the Embodiments

[0030] The technical solutions of the present invention will be described in more detail below in conjunction with the drawings and embodiments.

[0031] Now, mobile terminals implementing various embodiments of the present invention will be described with reference to the drawings. In the following description, suffixes such as "module", "component", or "unit" used to denote elements are only for facilitating the description of the present invention and have no specific meaning in themselves. Therefore, "module" and "component" can be used interchangeably.

[0032] Mobile terminals can be implemented in various forms. For example, the terminals described in the present invention may include mobile terminals such as mobile phones, smart phones, laptop computers, digital broadcast receivers, PDAs (Personal Digital Assistants), PADs (Tablet Computers), PMPs (Portable Multimedia Players), navigation devices, etc., and fixed terminals such as digital TVs, desktop computers, etc. Hereinafter, it is assumed that the terminal is a mobile terminal. However, those skilled in the art will understand that, except for elements specifically for mobile purposes, the configuration according to the embodiments of the present invention can also be applied to fixed-type terminals.

[0033] As Figure 1 shown, a method for analyzing the printing quality of a 3D printer, the method comprising the following steps:

[0034] Step 1, at the start of 3D printing, the printing quality analysis device communicates with the 3D printing device, sends an inquiry signal to the 3D printing device, and obtains the type information of the 3D printing device and the raw material information used;

[0035] Step 2, according to the obtained type information of the 3D printing device and the raw material information used, select a corresponding quality analysis strategy;

[0036] Step 3, after the printing quality analysis device determines the quality analysis strategy, send an enable signal to the 3D printing device, and the 3D printing device starts printing according to the received enable signal;

[0037] Step 4: According to the determined quality analysis strategy, perform quality analysis on the printing model at a specific time point during printing.

[0038] Furthermore, step 1 further includes: the 3D printing device is an extrusion type (FDM), a stereolithography type (SLA, DLP), and a powder type (SLS), and the raw material information used is PLA, ABS, nylon, photosensitive resin, and metal.

[0039] Furthermore, step 2 further includes: after the quality analysis device obtains the type information of the 3D printing device and the raw material information used, further obtain printing-related data, where the printing-related data is model data, the ID of the 3D modeling software used, and the ID of the slicing software.

[0040] Furthermore, step 4 further includes:

[0041] Step 401: In the printing quality analysis device, the printing quality analysis device obtains the 3D modeling data corresponding to the printing work performed by the 3D printing device, where the 3D modeling data is a 3D digital model constructed by using one or a combination of 3D modeling software such as CAD, Creo, and Sdidworks, or a 3D digital model of a 3D printing product obtained by reverse scanning a physical model using a 3D scanner;

[0042] Step 402: Perform grid processing on the 3D modeling data. The surface or curve of the model of the 3D modeling data will be converted into a grid shape, and it is composed of a series of closely connected triangular meshes. The smaller the size of the triangle in the mesh, the smoother the surface formed by the mesh surface, representing a higher geometric accuracy of the digital model. The quality analysis strategy selects and sets different control chord heights for different types of printing devices and materials, and changes the simulation output accuracy of the 3D digital model of the 3D printing device in the printing quality analysis device by changing the chord height setting, and generates grid data according to the simulation output accuracy;

[0043] Step 403: Obtain the path planning of the 3D printing device, convert the 3D digital model into a multi-layer 2D digital model, and further plan the processing path of each layer. The quality analysis strategy selects and sets different observation layer positions and quantities for different types of printing devices and materials, and the observation layer conditions corresponding to different types of printing devices and the printing materials used this time are different;

[0044] Step 404: The printing quality analysis device slices the grid data generated according to the simulation output accuracy obtained in step 402 using the same slicing software according to the obtained slicing software ID to obtain the model diagram corresponding to the observation layer;

[0045] Step 405, during 3D printing, when printing reaches the layer where the observation layer is located, obtain an image of the printed product, compare it with the model diagram corresponding to the observation layer obtained by the printing quality analysis device, and when the difference reaches a preset value, send an interruption signal to the 3D printing device and send an error message to the quality supervision manager's terminal device.

[0046] Furthermore, changing the chord height setting to change the simulation output accuracy of the 3D digital model of the 3D printing device in the printing quality analysis device, and generating grid data according to the simulation output accuracy further includes: determining the accuracy to be 50% to 85% according to the performance of the printing quality analysis device with reference to the simulation output accuracy corresponding to the chord height.

[0047] The present invention also provides a printing quality analysis system for a 3D printer. The system includes a 3D printing device and a printing quality analysis device. Among them, the printing quality analysis device communicates with the 3D printing device. At the start of 3D printing, the printing quality analysis device sends a communication signal to the 3D printing device to obtain the type information corresponding to the 3D printing device and the raw material information used in the current printing job.

[0048] The printing quality analysis device includes a strategy selection unit that selects a corresponding quality analysis strategy according to the type information of the 3D printing device and the raw material information used. After the printing quality analysis device determines the quality analysis strategy, it sends an enable signal to the 3D printing device, and the 3D printing device starts printing according to the received enable signal; and a quality analysis unit that performs quality analysis on the printing model at a specific time point during printing according to the determined quality analysis strategy.

[0049] Furthermore, obtaining the type information corresponding to the 3D printing device and the raw material information used in the current printing job further includes: the 3D printing device is an extrusion type (FDM), a stereolithography type (SLA, DLP), and a powder type (SLS), and the raw material information used is PLA, ABS, nylon, photosensitive resin, and metal.

[0050] Furthermore, after the quality analysis device obtains the type information of the 3D printing device and the raw material information used, it further obtains printing-related data. Among them, the printing-related data is model data, the 3D modeling software and slicing software ID used. Among them, the 3D modeling data is a 3D digital model constructed by using one or a combination of 3D modeling software such as CAD, Creo, and Sdidworks or a 3D digital model of the 3D printed product obtained by reverse scanning a physical model using a 3D scanner.

[0051] Furthermore, the quality analysis strategy further includes: in the printing quality analysis device, the printing quality analysis device obtains the three-dimensional modeling data corresponding to the printing work performed by the 3D printing device; performs three-dimensional digital model meshing processing on the three-dimensional modeling data, converts the surface or curve of the model of the three-dimensional modeling data into a mesh shape, and is composed of a series of closely connected triangular meshes. Among them, the smaller the size of the triangle in the mesh, the smoother and more fluent the curved surface formed by the mesh surface, representing the higher the geometric accuracy of the digital model. The quality analysis strategy selects and sets different control chord heights for different types of printing devices and materials, changes the simulation output accuracy of the three-dimensional digital model of the 3D printing device in the printing quality analysis device by changing the setting of the chord height, and generates meshed data according to the simulation output accuracy; obtains the path planning of the 3D printing device, converts the three-dimensional digital model into a multi-layer two-dimensional digital model and further plans the processing path of each layer. The quality analysis strategy selects and sets different observation layer positions and quantities for different types of printing devices and materials, and the observation layer conditions corresponding to different types of printing devices and the printing materials used this time are different; the printing quality analysis device slices the obtained meshed data generated according to the simulation output accuracy using the same slicing software according to the obtained slicing software ID to obtain the model diagram corresponding to the observation layer; during 3D printing, when printing to the layer where the observation layer is located, obtains the image of the printed product, compares it with the model diagram corresponding to the observation layer obtained by the printing quality analysis device, and when the difference reaches the preset value, sends an interruption print consumption to the 3D printing device and sends an error message to the quality supervision manager terminal device.

[0052] Furthermore, the step of changing the simulation output accuracy of the three-dimensional digital model of the 3D printing device in the printing quality analysis device by changing the setting of the chord height and generating meshed data according to the simulation output accuracy further includes: determining the accuracy as 50% to 85% according to the performance of the printing quality analysis device for the simulation output accuracy corresponding to the control chord height.

[0053] It should also be noted that the term "including", "comprising" or any other variant thereof is intended to cover non-exclusive inclusion, so that a process, method, commodity or device including a series of elements not only includes those elements, but also includes other elements not expressly listed, or also includes elements inherent to such process, method, commodity or device. Without further limitation, an element defined by the statement "including a..." does not exclude the existence of another identical element in the process, method, commodity or device including the element.

[0054] Those skilled in the art should understand that the embodiments of the present application can be provided as methods, systems, or computer program products. Therefore, the present application can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Moreover, the present application can take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk memory, CD-ROM, optical memory, etc.) that contain computer-usable program code.

[0055] Although the present invention has been described above with reference to various embodiments, it should be understood that many changes and modifications can be made without departing from the scope of the present invention. Therefore, it is intended that the above detailed description be regarded as illustrative rather than restrictive, and it should be understood that the following claims (including all equivalents) are intended to define the spirit and scope of the present invention. The above embodiments should be understood as only illustrative of the present invention and not restrictive of the protection scope of the present invention. After reading the content described in the present invention, those skilled in the art can make various changes or modifications to the present invention, and these equivalent changes and modifications also fall within the scope defined by the claims of the present invention.

Claims

1. A method for analyzing the printing quality of a 3D printer, characterized in that, The method includes the following steps: Step 1, at the beginning of 3D printing, the printing quality analysis device communicates with the 3D printing device, sends an inquiry signal to the 3D printing device, and obtains the type information of the 3D printing device and the raw material information used; Step 2, according to the obtained type information of the 3D printing device and the raw material information used, select the corresponding quality analysis strategy; Step 3, after the printing quality analysis device determines the quality analysis strategy, send an enable signal to the 3D printing device, and the 3D printing device starts printing according to the received enable signal; Step 4, according to the determined quality analysis strategy, perform quality analysis on the printed model at a specific time point during printing, which further includes: Step 401, in the printing quality analysis device, the printing quality analysis device obtains the three-dimensional modeling data corresponding to the printing work executed by the 3D printing device. Among them, the three-dimensional modeling data is a three-dimensional digital model constructed by using one or a combination of three-dimensional modeling software such as CAD, Creo, and Sdidworks, or a three-dimensional digital model of the 3D printed product obtained by reverse scanning a physical model using a 3D scanner; Step 402, perform three-dimensional digital model meshing processing on the three-dimensional modeling data. The surface or curve of the model of the three-dimensional modeling data will be converted into a mesh shape, and it is composed of a series of closely connected triangular meshes. Among them, the smaller the size of the triangle in the mesh, the smoother the surface formed by the mesh surface, indicating the higher the geometric accuracy of the digital model. The quality analysis strategy selects and sets different control chord heights for different types of printing devices and materials, and changes the simulation output accuracy of the three-dimensional digital model of the 3D printing device in the printing quality analysis device by changing the chord height setting, and generates meshed data according to the simulation output accuracy; Step 403, obtain the path planning of the 3D printing device, convert the three-dimensional digital model into a multi-layer two-dimensional digital model and further plan the processing path of each layer. The quality analysis strategy selects and sets different observation layer positions and quantities for different types of printing devices and materials, and the observation layer conditions corresponding to different types of printing devices and the printing materials used this time are different; Step 404, the printing quality analysis device slices the meshed data generated according to the simulation output accuracy obtained in Step 402 using the same slicing software according to the obtained slicing software ID to obtain the model diagram corresponding to the observation layer; Step 405, during 3D printing, when printing to the layer where the observation layer is located, obtain the image of the printed product, compare it with the model diagram corresponding to the observation layer obtained by the printing quality analysis device, and when the difference reaches the preset value, send an interrupt printing consumption to the 3D printing device and send an error message to the quality supervision manager terminal device.

2. The printing quality analysis method of a 3D printer according to claim 1, characterized in that The Step 1 further includes: the 3D printing device is an extrusion type, a stereolithography type or a powder type, and the raw material information used is PLA, ABS, nylon, photosensitive resin or metal.

3. The printing quality analysis method of a 3D printer according to claim 1, characterized in that, The step 2 further includes: after the quality analysis device obtains the type information of the 3D printing device and the raw material information used, further obtaining printing-related data, where the printing-related data is model data, the ID of the 3D modeling software used, and the ID of the slicing software.

4. The printing quality analysis method of a 3D printer according to claim 1, characterized in that, Changing the simulation output accuracy of the 3D digital model of the 3D printing device in the printing quality analysis device by changing the chord height setting, and generating meshed data according to the simulation output accuracy further includes: determining the accuracy to be 50% to 85% according to the performance of the printing quality analysis device with reference to the simulation output accuracy corresponding to the chord height.

5. A printing quality analysis system for a 3D printer, characterized in that, The system includes a 3D printing device and a printing quality analysis device. Among them, the printing quality analysis device communicates with the 3D printing device. At the start of 3D printing, the printing quality analysis device sends a communication signal to the 3D printing device to obtain the type information corresponding to the 3D printing device and the raw material information used in the current printing job. The printing quality analysis device includes a strategy selection unit that selects a corresponding quality analysis strategy according to the type information of the 3D printing device and the raw material information used. After the printing quality analysis device determines the quality analysis strategy, it sends an enabling signal to the 3D printing device, and the 3D printing device starts printing according to the received enabling signal; and a quality analysis unit that performs quality analysis on the printing model at a specific time point during printing according to the determined quality analysis strategy. The quality analysis strategy further includes: in a printing quality analysis device, the printing quality analysis device obtains three-dimensional modeling data corresponding to the printing work performed by a 3D printing device; performs three-dimensional digital model meshing processing on the three-dimensional modeling data, where the surface or curve of the model of the three-dimensional modeling data will be converted into a mesh shape and is formed by a series of closely connected triangular meshes. Among them, the smaller the size of the triangle in the mesh, the smoother the curved surface formed by the mesh surface, indicating the higher the geometric accuracy of the digital model. The quality analysis strategy selects and sets different control chord heights for different types of printing devices and materials, changes the simulation output accuracy of the three-dimensional digital model of the 3D printing device in the printing quality analysis device by changing the chord height setting, and generates meshed data according to the simulation output accuracy; obtains the path planning of the 3D printing device, converts the three-dimensional digital model into a multi-layer two-dimensional digital model and further plans the processing path of each layer. The quality analysis strategy selects and sets different observation layer positions and quantities for different types of printing devices and materials, and the observation layer conditions corresponding to different types of printing devices and the printing materials used this time are different; the printing quality analysis device slices the meshed data generated according to the simulation output accuracy using the same slicing software according to the obtained slicing software ID to obtain the model diagram corresponding to the observation layer; during 3D printing, when printing to the layer where the observation layer is located, obtains the image of the printed product, compares it with the model diagram corresponding to the observation layer obtained by the printing quality analysis device, and when the difference reaches a preset value, sends an interruption of printing consumption to the 3D printing device and sends an error message to the quality supervision manager's terminal device.

6. The printing quality analysis system of a 3D printer according to claim 5, characterized in that, The obtaining of the type information corresponding to the 3D printing device and the raw material information used in the current printing job further includes: the 3D printing device is an extrusion type, a light curing type or a powder type, and the raw material information used is PLA, ABS, nylon, photosensitive resin or metal.

7. The printing quality analysis system of a 3D printer according to claim 5, characterized in that, After the quality analysis device obtains the type information of the 3D printing device and the raw material information used, it further obtains printing-related data, where the printing-related data is model data, the three-dimensional modeling software used, and the slicing software ID. Among them, the three-dimensional modeling data is a three-dimensional digital model constructed by using one or a combination of three-dimensional modeling software such as CAD, Creo, Sdidworks or a three-dimensional digital model of a 3D printed product obtained by reverse scanning a physical model using a 3D scanner.

8. The printing quality analysis system of a 3D printer according to claim 5, characterized in that, The changing of the simulation output accuracy of the three-dimensional digital model of the 3D printing device in the printing quality analysis device by changing the chord height setting and generating meshed data according to the simulation output accuracy further includes: the simulation output accuracy corresponding to the control chord height is determined to be 50% to 85% according to the performance of the printing quality analysis device.

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