A 3D printer three-dimensional modeling method and system based on digital twin

Abstract

The present invention discloses a three-dimensional modeling method and system of a 3D printer based on digital twins, and relates to the field of 3D printing technology. The method comprehensively considers multiple factors such as printing parameters, environmental conditions and support structures through digital twin modeling and real-time monitoring technology, and calculates the printing stability coefficient DYx by real-time monitoring and analysis of real-time data of printing parameters, environmental data and support structure data during the printing process using digital twin modeling technology; analyzes environmental data and digital twin modeling to calculate the environmental impact coefficient HJx; calculates the support firmness coefficient LGx by real-time monitoring of support structure data, and associates and calculates the comprehensive evaluation coefficient PGx. Based on the comprehensive evaluation, a control strategy is intelligently generated to achieve global optimization of the 3D printing process. This is beneficial to improving printing stability, adapting to different environmental conditions, optimizing support structure design, and ultimately achieving more efficient and high-quality 3D printing production.

Description

Technical Field

[0001] The present invention relates to the technical field of 3D printing, and in particular to a 3D printer three-dimensional modeling method and system based on digital twins. Background Art

[0002] Traditional 3D printing technology has been widely used in different industrial fields. However, due to the complex interaction of factors such as material properties, printing parameters, and environmental conditions, traditional 3D printing has some problems, such as poor printing stability, the impact of environmental factors on printing effects, and insufficient support structure design. These problems may lead to defects such as unstable printing quality, deformation during printing, or weak support structure, which affects printing efficiency and finished product quality.

[0003] During the printing process of traditional 3D printers, the printing stability is easily affected due to inaccurate printing parameters or fluctuations in environmental conditions, resulting in rough surface of the finished product, poor interlayer adhesion, and even interlayer peeling. This limits the application of 3D printing technology in high-precision fields. Digital twin modeling is a method of mapping actual physical systems or processes onto a digital platform through mathematical modeling and simulation technology. It has a wide range of applications, covering multiple industries and fields, and is also applicable to the field of 3D printers. Summary of the invention

[0004] 1. Technical issues to be solved

[0005] In view of the shortcomings of the prior art, the present invention provides a three-dimensional modeling method and system of a 3D printer based on digital twin to solve the problems mentioned in the background technology.

[0006] (II) Technical solution

[0007] To achieve the above objectives, the present invention is implemented through the following technical solutions: A 3D printer three-dimensional modeling method based on digital twins, comprising the following steps:

[0008] Step 1: Establish a three-dimensional digital twin digital model, import the CAD model of the object to be printed into the three-dimensional digital twin digital model, use a 3D scanner to scan the actual object to generate point cloud data, import the point cloud data into the three-dimensional digital twin digital model for modeling, and model the object to be printed into a geometric shape with adjustable parameters;

[0009] Step 2: Real-time monitoring and collection of first parameter real-time data, second real-time environmental data and third support structure data during the entire process of the 3D printer, wherein the first parameter real-time data includes the print head temperature wd1, the print speed sl, the remaining extrusion amount jcl and the print head position deviation value pcz; the second real-time environmental data includes the ambient temperature wd2, the ambient humidity sd, the light intensity gz and the air pollution particle concentration klnd; the third support structure data includes the support density MD, the angle value jjz between the support structure and the surface of the printed object, the support structure bottom width dbkd, the support structure upper width sbkd and the support stress coefficient YLx;

[0010] Step 3: Input the first parameter real-time data, the second real-time environmental data and the third support structure data into the three-dimensional digital model, analyze and calculate to obtain: the printing stability coefficient DYx, the environmental impact coefficient HJx and the support firmness coefficient LGx; and associate the printing stability coefficient DYx, the environmental impact coefficient HJx and the support firmness coefficient LGx to obtain the comprehensive evaluation coefficient PGx;

[0011] Step 4. When the comprehensive evaluation coefficient PGx is greater than the first standard threshold X, it indicates that the current comprehensive evaluation presents the first unqualified state; when the first unqualified state is generated again, a control instruction is generated, and the printing stability coefficient DYx is compared with the first parameter threshold Q1 to obtain the first evaluation result; the environmental impact coefficient HJx is compared with the second environmental threshold Q2 to obtain the second evaluation result; the support firmness coefficient LGx is compared with the third support stability threshold Q3 to obtain the third evaluation result; and a corresponding control strategy is generated based on the first evaluation result, the second evaluation result and the third evaluation result.

[0012] Preferably, the step 1 comprises:

[0013] S11, importing the CAD model of the object to be printed into the three-dimensional digital twin digital model, using standard CAD file formats, including STL or OBJ;

[0014] S12. Use a 3D scanner to scan the actual object and obtain point cloud data; ensure that the scan covers all parts of the object to obtain complete geometric shape information;

[0015] S13, importing the point cloud data into the three-dimensional digital twin digital model, and performing a first processing using a point cloud processing tool; the first processing includes filtering, reconstruction, and smoothing operations of the point cloud to obtain a clear geometric model;

[0016] S14. Based on the point cloud data, using the built-in modeling tools of the three-dimensional digital twin digital model, the object to be printed is modeled into a geometric shape with adjustable parameters for a second processing; the second processing includes surface fitting, boundary extraction and curve modeling steps.

[0017] Preferably, the print head temperature wd1 is measured by a thermocouple sensor installed on the 3D print head; the printing rate sl is measured by an acceleration sensor installed on the 3D print head; the remaining extrusion amount jcl is measured by a 3D printer extruder sensor; the print head position deviation value pcz is obtained by measuring the actual print head position through a position encoder and comparing it with the preset position value of the printing model of the three-dimensional digital twin digital model.

[0018] Preferably, the ambient temperature wd2 is measured by a temperature sensor installed in the 3D printer area; the ambient humidity sd is measured by a humidity sensor installed in the 3D printer area; the light intensity gz is measured by a photoelectric sensor installed in the 3D printer area; and the air pollution particle concentration klnd is measured by a resistive particle sensor installed in the 3D printer area.

[0019] Preferably, the support density MD is obtained by collecting the support material structure weight zl, volume tj and surface area bmj, and after dimensionless processing, the support density MD is obtained by the following formula:

[0020]

[0021] The angle value jjz between the support structure and the surface of the printed object is obtained by measuring the angle between the heated bed and the support structure by an angle sensor;

[0022] The bottom width dbkd of the support structure and the upper width sbkd of the support structure are acquired by a distance measuring sensor;

[0023] The support stress coefficient YLx is obtained by setting n positions according to the shape of the support structure, installing stress sensors, and measuring and obtaining n stress values ​​Yl1, Yl2, Yl3, ..., Yl n After that, the support stress coefficient YLx is calculated by the following average calculation method:

[0024]

[0025] Wherein, A represents the first correction constant.

[0026] Preferably, the printing stability coefficient DYx is obtained by extracting the print head temperature wd1, the print speed sl, the remaining extrusion amount jcl and the print head position deviation value pcz in the first parameter real-time data, and after dimensionless processing, generating the printing stability coefficient DYx by the following formula:

[0027]

[0028] Wherein, bz1 represents a preset standard print head temperature threshold, bz2 represents a preset print rate threshold, bz3 represents a preset standard remaining extrusion amount threshold, and bz4 represents a preset standard print head position deviation value threshold; E1, E2, E3 and E4 represent preset proportional coefficients, and 0.12≤E1≤0.18, 0.15≤E2≤0.22, 0.20≤E3≤0.25, 0.25≤E4≤0.35, and E1+E2+E3+E4≤1.0; B represents a second correction constant;

[0029] The environmental impact coefficient HJx is obtained by extracting the ambient temperature wd2, ambient humidity sd, light intensity gz and air pollution particle concentration klnd from the second real-time environmental data; after dimensionless processing, the environmental impact coefficient HJx is generated by the following formula:

[0030]

[0031] Wherein, bz5 represents the preset standard ambient temperature threshold, bz6 represents the preset ambient humidity threshold, bz7 represents the preset standard light intensity threshold, and bz8 represents the preset standard air pollution particle concentration threshold; E5, E6, E7 and E8 represent preset proportional coefficients, and 0.15≤E5≤0.22, 0.12≤E6≤0.18, 0.22≤E7≤0.25, 0.32≤E8≤0.35, and E5+E6+E7+E8≤1.0; C represents the third correction constant;

[0032] The support firmness coefficient LGx is obtained by extracting the third support structure data including the support density MD, the angle value jjz between the support structure and the surface of the printed object, the bottom width dbkd of the support structure, the upper width sbkd of the support structure and the support stress coefficient YLx; after dimensionless processing, the support firmness coefficient LGx is generated by the following formula:

[0033]

[0034] Wherein, bz9 represents the preset standard support structure density threshold, bz10 represents the angle value threshold between the preset support structure and the printed object surface, bz11 represents the preset standard support structure bottom width threshold, bz12 represents the preset standard support structure upper width threshold, and bz13 represents the preset standard support stress coefficient threshold;

[0035] E9, E10, E11, E12 and E13 represent preset proportional coefficients, and 0.20≤E9≤0.22, 0.10≤E10≤0.12, 0.21≤E11≤0.25, 0.11≤E12≤0.13, 0.25≤E12≤0.28, and E9+E10+E11+E12+E13≤1.0; D represents the fourth correction constant.

[0036] Preferably, the printing stability coefficient DYx, the environmental impact coefficient HJx and the support firmness coefficient LGx are associated with each other to generate a comprehensive evaluation coefficient PGx through the following formula;

[0037]

[0038] Wherein, 0≤α≤1, 0≤β≤1, and α+β=1, α and β are weights, and ln 2 is a logarithmic operation with 2 as the base.

[0039] Preferably, if the comprehensive evaluation coefficient PGxPGx>the first standard threshold value X, it means that the current comprehensive evaluation is unqualified; if the comprehensive evaluation coefficient PGx≤the first standard threshold value X, it means that the current comprehensive evaluation is qualified and production continues;

[0040] When the comprehensive evaluation is unqualified, a first unqualified state is generated, and the printing stability coefficient DYx is compared with the first parameter threshold Q1 to obtain a first evaluation result, including: when the printing stability coefficient DYx> the first parameter threshold Q1, it means that the printing stability is unqualified, and a first adjustment strategy is generated; when the printing stability coefficient DYx≤the first parameter threshold Q1, it means that the printing stability meets the standard and is in a qualified state;

[0041] Compare the environmental impact coefficient HJx with the second environmental threshold Q2 to obtain a second evaluation result, including: when the environmental impact coefficient HJx> the second environmental threshold Q2, it indicates that the environmental condition is unqualified, and a second adjustment strategy is generated; when the environmental impact coefficient HJx≤ the second environmental threshold Q2, it indicates that the environmental condition is qualified;

[0042] The support firmness coefficient LGx is compared with the third support stability threshold Q3 to obtain a third evaluation result, including: when the support firmness coefficient LGx is less than the third support stability threshold Q3, it indicates that the support structure firmness is unqualified, and a third adjustment strategy is generated; when the support firmness coefficient LGx is greater than or equal to the third support stability threshold Q3, it indicates that the support structure meets the standard and is in a qualified state.

[0043] Preferably, the first adjustment strategy includes: adjusting the print head temperature wd1 to optimize the melting state, adjusting the printing rate sl to control the uniform stacking of interlayer adhesion, adjusting the remaining extrusion amount jcl to ensure that excessive material extrusion does not occur when the print head moves, affecting the 3D printing quality, and adjusting the print head position deviation value pcz to ensure that the printing position of each layer is accurate to avoid structural defects caused by position deviation;

[0044] The second adjustment strategy includes: adjusting the ambient temperature wd2 and the ambient humidity sd to prevent the material from absorbing moisture or being too dry to affect the printing quality, adjusting the light intensity gz to ensure that the material is cured within the standard time, and adjusting the concentration of air pollution particles klnd to reduce air pollution;

[0045] The third adjustment strategy: optimize the support density MD, adjust the angle jjz between the support structure and the surface of the printed object to provide support force; adjust the bottom width dbkd and the upper width sbkd of the support structure and optimize the support stress coefficient YLx to ensure that the support structure is stable and easy to remove.

[0046] A 3D printer three-dimensional modeling system based on digital twins, including a digital twin modeling module, a real-time monitoring module, a digital model analysis and calculation module, a state evaluation module and a control module, a control strategy generation module, a digital twin model update module and a user interface module;

[0047] The digital twin modeling module is used to establish a three-dimensional digital twin digital model, integrating the CAD model and the processed point cloud data to model a geometric shape with adjustable parameters;

[0048] The real-time monitoring module is used to monitor and collect the first parameter real-time data, the second real-time environment data and the third support structure data in the whole process of the 3D printer in real time;

[0049] The digital model analysis and calculation module is used to input the real-time collected data into the three-dimensional digital model, and obtain the printing stability coefficient DYx, the environmental impact coefficient HJx and the support firmness coefficient LGx through analysis and calculation; and obtain the comprehensive evaluation coefficient PGx by associating the printing stability coefficient DYx, the environmental impact coefficient HJx and the support firmness coefficient LGx;

[0050] The state evaluation module and the control module are used to perform state evaluation according to the comprehensive evaluation coefficient PGx and the set threshold value, and generate corresponding control instructions when the comprehensive evaluation coefficient PGx is unqualified;

[0051] A control strategy generation module is used to generate corresponding adjustment strategies when an unqualified state is found, including a first adjustment strategy, a second adjustment strategy and a third adjustment strategy, which specifically involve the adjustment of printing parameters, environmental conditions and support structures;

[0052] The digital twin model update module is used to update the digital twin model based on real-time monitoring data and the results of adjustment strategies to continuously optimize the modeling effect and improve the prediction accuracy;

[0053] The user interface module is used to provide a user-friendly interface for displaying real-time monitoring data, evaluation results, adjustment strategies, and system status, while allowing users to interact and set up.

[0054] (III) Beneficial effects

[0055] The present invention provides a 3D printer three-dimensional modeling method and system based on digital twins. It has the following beneficial effects:

[0056] (1) A 3D printer three-dimensional modeling method and system based on digital twins, by real-time monitoring and analysis of printing parameter real-time data, environmental data and support structure data during the printing process, using digital twin modeling technology to calculate the printing stability coefficient DYx, and generating adjustment strategies through control instructions to improve printing stability. This helps to avoid problems such as rough surface of the finished product and poor interlayer adhesion, especially in applications in high-precision fields.

[0057] (2) A 3D printer three-dimensional modeling method and system based on digital twins, by analyzing environmental data and digital twin modeling, calculates the environmental impact coefficient HJx and generates corresponding control strategies. This helps to reduce the negative impact of environmental conditions on printing effects, including controlling temperature and humidity, light intensity and air pollution particle concentration, thereby improving printing quality.

[0058] (3) A 3D printer three-dimensional modeling method and system based on digital twins calculates the support firmness coefficient LGx by real-time monitoring of support structure data and generates a control strategy. This helps to optimize the support density, the angle between the support structure and the printed object surface, the bottom width of the support structure, the upper width of the support structure, and the support stress coefficient, etc., to ensure the firmness of the support structure and reduce possible support structure defects.

[0059] (4) A 3D printer three-dimensional modeling method and system based on digital twins, which globally evaluates the printer performance through a comprehensive evaluation coefficient PGx. When PGx is greater than a threshold, a corresponding unqualified state is generated and a control instruction is generated. A control strategy is generated based on the first evaluation, the second evaluation results, and the third evaluation results to comprehensively optimize the printing process and improve the 3D printing efficiency and finished product quality. BRIEF DESCRIPTION OF THE DRAWINGS

[0060] Figure 1 A schematic diagram of the steps of a 3D printer three-dimensional modeling method based on digital twins of the present invention;

[0061] Figure 2This is a block diagram flow chart of a 3D printer three-dimensional modeling system based on digital twins of the present invention. DETAILED DESCRIPTION

[0062] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0063] Example 1

[0064] The present invention provides a 3D printer three-dimensional modeling method based on digital twins, please refer to Figure 1 , including the following steps,

[0065] Step 1: Establish a three-dimensional digital twin digital model, import the CAD model of the object to be printed into the three-dimensional digital twin digital model, use a 3D scanner to scan the actual object to generate point cloud data, import the point cloud data into the three-dimensional digital twin digital model for modeling, and model the object to be printed into a geometric shape with adjustable parameters;

[0066] Step 2: Real-time monitoring and collection of first parameter real-time data, second real-time environmental data and third support structure data during the entire process of the 3D printer, wherein the first parameter real-time data includes the print head temperature wd1, the print speed sl, the remaining extrusion amount jcl and the print head position deviation value pcz; the second real-time environmental data includes the ambient temperature wd2, the ambient humidity sd, the light intensity gz and the air pollution particle concentration klnd; the third support structure data includes the support density MD, the angle value jjz between the support structure and the surface of the printed object, the support structure bottom width dbkd, the support structure upper width sbkd and the support stress coefficient YLx;

[0067] Step 3: Input the first parameter real-time data, the second real-time environmental data and the third support structure data into the three-dimensional digital model, analyze and calculate to obtain: the printing stability coefficient DYx, the environmental impact coefficient HJx and the support firmness coefficient LGx; and associate the printing stability coefficient DYx, the environmental impact coefficient HJx and the support firmness coefficient LGx to obtain the comprehensive evaluation coefficient PGx;

[0068] Step 4. When the comprehensive evaluation coefficient PGx is greater than the first standard threshold X, it indicates that the current comprehensive evaluation presents the first unqualified state; when the first unqualified state is generated again, a control instruction is generated, and the printing stability coefficient DYx is compared with the first parameter threshold Q1 to obtain the first evaluation result; the environmental impact coefficient HJx is compared with the second environmental threshold Q2 to obtain the second evaluation result; the support firmness coefficient LGx is compared with the third support stability threshold Q3 to obtain the third evaluation result; and a corresponding control strategy is generated based on the first evaluation result, the second evaluation result and the third evaluation result.

[0069] In this embodiment, by real-time monitoring and analysis of parameters, environmental data and support structure information during the printing process, the system can adjust the printing parameters and support structure in real time, thereby improving printing stability. The application of the digital twin model helps to more accurately predict and adjust the complex interactions in the printing process. Through real-time monitoring and analysis of factors such as ambient temperature, humidity, light intensity and air pollution particle concentration, the system can adjust the parameters during the printing process to reduce the negative impact of environmental factors on the printing effect and improve the consistency of the finished product quality. Through the analysis of support density, angle between the structure and the surface of the printed object, bottom width, upper width and support stress coefficient, the system can optimize the design of the support structure to ensure that the support is firm and easy to remove, thereby reducing finished product defects. When the comprehensive evaluation coefficient PGx exceeds the preset first standard threshold value X, the system can generate corresponding control instructions, automatically adjust the printing parameters and support structure according to the specific evaluation results, and realize intelligent and automated printing control. Through the comprehensive application of digital twin modeling and real-time monitoring, this method contributes to the application of 3D printing technology in high-precision fields, reduces problems that may occur during printing, and improves printing accuracy and reliability.

[0070] Example 2: This example is an explanation of Example 1. Figure 1 Specifically, the step 1 includes:

[0071] S11. Import the CAD model of the object to be printed into the 3D digital twin digital model, using standard CAD file formats, including STL or OBJ; this helps ensure the accuracy and compatibility of the model. Using a common file format helps share and use these models in different software and systems.

[0072] S12. Use a 3D scanner to scan the actual object and obtain point cloud data; ensure that the scan covers all parts of the object to obtain complete geometric shape information; this step ensures the accurate acquisition of the actual object's geometric shape and can handle objects with irregular or complex shapes.

[0073] S13, importing the point cloud data into the three-dimensional digital twin digital model, and performing a first processing using a point cloud processing tool; the first processing includes filtering, reconstruction, and smoothing operations of the point cloud to obtain a clear geometric model; to clearly present the geometric model of the object to be printed. Point cloud processing helps to eliminate noise, fill in missing parts, and improve the quality of the model.

[0074] S14. Based on the point cloud data, the object to be printed is modeled into a geometric shape with adjustable parameters using the built-in modeling tools of the 3D digital twin digital model for the second processing; the second processing includes surface fitting, boundary extraction and curve modeling steps. This step includes surface fitting, boundary extraction and curve modeling, making the model more geometric with adjustable parameters. This provides a more flexible basis for subsequent analysis and optimization.

[0075] Example 3, this example is explained in Example 1, please refer to Figure 1 Specifically, the print head temperature wd1 is measured by a thermocouple sensor installed on the 3D print head; the printing rate sl is measured by an acceleration sensor installed on the 3D print head; the remaining extrusion amount jcl is measured by a 3D printer extruder sensor; the print head position deviation value pcz is obtained by measuring the actual print head position through a position encoder and comparing it with the preset position value of the printing model of the three-dimensional digital twin digital model.

[0076] In this embodiment, by installing a thermocouple sensor on the 3D print head for temperature measurement, it is helpful to monitor the temperature changes during the printing process in real time. This is crucial for optimizing the melting state of the printing material and improving the printing quality. Using an acceleration sensor installed on the 3D print head, the printing rate can be measured in real time. Such measurements help control the interlayer adhesion and ensure the uniformity of the stacking, thereby improving the accuracy and stability of the printing. The remaining extrusion amount can be monitored by measuring the 3D printer extruder sensor. Using a position encoder to measure the actual print head position and compare it with the preset position value of the three-dimensional digital twin digital model helps to monitor the position deviation of the print head in real time. This can ensure that the printing position of each layer is accurate and avoid structural defects caused by position offset. It plays an important role in avoiding excessive material extrusion when the print head moves, thereby affecting the print quality.

[0077] Example 4: This example is an explanation of Example 1. Figure 1Specifically, the ambient temperature wd2 is measured by a temperature sensor installed in the 3D printer area; the ambient humidity sd is measured by a humidity sensor installed in the 3D printer area; the light intensity gz is measured by a photoelectric sensor installed in the 3D printer area; the air pollution particle concentration klnd is measured by a resistive particle sensor installed in the 3D printer area.

[0078] In this embodiment, by installing a temperature sensor in the 3D printer area, the ambient temperature can be measured in real time. This has an important impact on the curing of the material and the stability of the printing process, because changes in temperature may cause changes in material properties. Using a humidity sensor installed in the 3D printer area, changes in ambient humidity can be monitored in real time. Humidity affects the hygroscopicity of some 3D printing materials, so humidity control helps to avoid changes in material properties, thereby improving the stability of printing. By measuring the light intensity through a photoelectric sensor, the lighting conditions can be monitored in real time. This is critical for some materials that require light curing or visibility during the printing process, so control of light intensity helps to improve print quality. Using a resistive particle sensor to measure the concentration of polluted particles in the air helps to monitor the cleanliness of the environment. Especially in some scenarios with high environmental requirements, such as medical or precision manufacturing fields, air quality is crucial to print quality.

[0079] Example 5: This example is explained in Example 1. Figure 1 Specifically, the support density MD is obtained by collecting the support material structure weight zl, volume tj and surface area bmj, and after dimensionless processing, the support density MD is obtained by the following formula:

[0080]

[0081] The angle value jjz between the support structure and the surface of the printed object is obtained by measuring the angle between the heated bed and the support structure by an angle sensor;

[0082] The bottom width dbkd of the support structure and the upper width sbkd of the support structure are acquired by a distance measuring sensor;

[0083] The support stress coefficient YLx is obtained by setting n positions according to the shape of the support structure, installing stress sensors, and measuring and obtaining n stress values ​​Yl1, Yl2, Yl3, ..., Yl n After that, the support stress coefficient YLx is calculated by the following average calculation method:

[0084]

[0085] Wherein, A represents the first correction constant.

[0086] In this embodiment, the weight zl, volume tj and surface area bmj of the support material structure are collected, and the support density MD is obtained by applying the corresponding formula after dimensionless processing. The acquisition of the support density helps to optimize the design of the support structure, making it more suitable for different printed objects, thereby improving the effect of the support structure. The angle between the hot bed and the support structure is measured by an angle sensor, and the angle value between the support structure and the surface of the printed object can be accurately obtained. This plays a key role in the design of the support structure and the stability of the printed object. The width information of the bottom and top of the support structure is collected by a range sensor, which helps to better control the shape and size of the support structure, thereby improving the firmness of the support. By installing stress sensors at different positions of the support structure, measuring and obtaining stress values, and then calculating the average value, the support stress coefficient YLx is obtained. This helps to evaluate the stress condition of the support structure and provide key information for the design and optimization of the support.

[0087] Example 6: This example is explained in Example 1. Figure 1 Specifically, the printing stability coefficient DYx is obtained by extracting the print head temperature wd1, the print speed sl, the remaining extrusion amount jcl and the print head position deviation value pcz in the first parameter real-time data, and after dimensionless processing, the printing stability coefficient DYx is generated by the following formula:

[0088]

[0089] Wherein, bz1 represents a preset standard print head temperature threshold, bz2 represents a preset print rate threshold, bz3 represents a preset standard remaining extrusion amount threshold, and bz4 represents a preset standard print head position deviation value threshold; E1, E2, E3 and E4 represent preset proportional coefficients, and 0.12≤E1≤0.18, 0.15≤E2≤0.22, 0.20≤E3≤0.25, 0.25≤E4≤0.35, and E1+E2+E3+E4≤1.0; B represents a second correction constant;

[0090] The environmental impact coefficient HJx is obtained by extracting the ambient temperature wd2, ambient humidity sd, light intensity gz and air pollution particle concentration klnd from the second real-time environmental data; after dimensionless processing, the environmental impact coefficient HJx is generated by the following formula:

[0091]

[0092] Wherein, bz5 represents the preset standard ambient temperature threshold, bz6 represents the preset ambient humidity threshold, bz7 represents the preset standard light intensity threshold, and bz8 represents the preset standard air pollution particle concentration threshold; E5, E6, E7 and E8 represent preset proportional coefficients, and 0.15≤E5≤0.22, 0.12≤E6≤0.18, 0.22≤E7≤0.25, 0.32≤E8≤0.35, and E5+E6+E7+E8≤1.0; C represents the third correction constant;

[0093] The support firmness coefficient LGx is obtained by extracting the third support structure data including the support density MD, the angle value jjz between the support structure and the surface of the printed object, the bottom width dbkd of the support structure, the upper width sbkd of the support structure and the support stress coefficient YLx; after dimensionless processing, the support firmness coefficient LGx is generated by the following formula:

[0094]

[0095] Wherein, bz9 represents the preset standard support structure density threshold, bz10 represents the angle value threshold between the preset support structure and the surface of the printed object, bz11 represents the preset standard support structure bottom width threshold, bz12 represents the preset standard support structure upper width threshold, bz13 represents the preset standard support stress coefficient threshold; E9, E10, E11, E12 and E13 are represented as preset proportional coefficients, and 0.20≤E9≤0.22, 0.10≤E10≤0.12, 0.21≤E11≤0.25, 0.11≤E12≤0.13, 0.25≤E12≤0.28, and E9+E10+E11+E12+E13≤1.0; D is represented as the fourth correction constant.

[0096] In this embodiment, the print head temperature wd1, print rate sl, remaining extrusion amount jcl and print head position deviation value pcz in the first parameter real-time data are extracted and dimensionless processed, and the printing stability coefficient DYx is generated by the corresponding formula. This helps to monitor the key parameters in the printing process in real time, evaluate the stability of printing, and generate corresponding control instructions according to the set threshold value, thereby improving the printing quality. By extracting the ambient temperature wd2, ambient humidity sd, light intensity gz and air pollution particle concentration klnd in the second real-time environmental data, and performing dimensionless processing, the environmental impact coefficient HJx is generated by the corresponding formula. This helps to understand the degree of influence of environmental factors on the printing effect and provide guidance for adjusting the printing parameters. By extracting the third support structure data including the support density MD, the angle value jjz between the support structure and the surface of the printed object, the bottom width dbkd of the support structure, the upper width sbkd of the support structure and the support stress coefficient YLx, and performing dimensionless processing, the support firmness coefficient LGx is generated by the corresponding formula. This helps to evaluate the firmness of the support structure, and generate corresponding control strategies according to the set threshold value to improve the effect and stability of the support. Correction constants and proportional coefficients are introduced into the above formulas. The settings of these parameters can be adjusted according to specific needs, making the system more flexible and adaptable to different printing scenarios.

[0097] Example 7, this example is explained in Example 1, please refer to Figure 1 Specifically, the printing stability coefficient DYx, the environmental impact coefficient HJx and the support firmness coefficient LGx are associated with the following formula to generate a comprehensive evaluation coefficient PGx;

[0098]

[0099] Wherein, 0≤α≤1, 0≤β≤1, and α+β=1, α and β are weights, and ln 2 is a logarithmic operation with 2 as the base.

[0100] In this embodiment, by incorporating multiple factors such as the printing stability coefficient DYx, the environmental impact coefficient HJx, and the support firmness coefficient LGx into the calculation of the comprehensive evaluation coefficient PGx, various influencing factors in the 3D printing process can be considered more comprehensively, thereby improving the comprehensive grasp of the overall quality. The introduction of weights and logarithmic operations with a base of 2 allows the influence of different factors to be reasonably distributed in the comprehensive evaluation. Such a design helps to adjust the relative importance of different factors according to actual conditions, making the system more flexible and adaptable to different processes and requirements. Logarithmic operations with a base of 2 can compress the numerical range to a certain extent, avoiding excessive influence of extreme values ​​on the comprehensive evaluation, and making the system more stable and robust.

[0101] Example 8: This example is explained in Example 1. Figure 1 Specifically, if the comprehensive evaluation coefficient PGxPGx>the first standard threshold value X, it means that the current comprehensive evaluation is unqualified; if the comprehensive evaluation coefficient PGx≤the first standard threshold value X, it means that the current comprehensive evaluation is qualified and production continues;

[0102] When the comprehensive evaluation is unqualified, a first unqualified state is generated, and the printing stability coefficient DYx is compared with the first parameter threshold Q1 to obtain a first evaluation result, including: when the printing stability coefficient DYx> the first parameter threshold Q1, it means that the printing stability is unqualified, and a first adjustment strategy is generated; when the printing stability coefficient DYx≤the first parameter threshold Q1, it means that the printing stability meets the standard and is in a qualified state;

[0103] Compare the environmental impact coefficient HJx with the second environmental threshold Q2 to obtain a second evaluation result, including: when the environmental impact coefficient HJx> the second environmental threshold Q2, it indicates that the environmental condition is unqualified, and a second adjustment strategy is generated; when the environmental impact coefficient HJx≤ the second environmental threshold Q2, it indicates that the environmental condition is qualified;

[0104] The support firmness coefficient LGx is compared with the third support stability threshold Q3 to obtain a third evaluation result, including: when the support firmness coefficient LGx is less than the third support stability threshold Q3, it indicates that the support structure firmness is unqualified, and a third adjustment strategy is generated; when the support firmness coefficient LGx is greater than or equal to the third support stability threshold Q3, it indicates that the support structure meets the standard and is in a qualified state.

[0105] In this embodiment, the system realizes a multi-level evaluation of multiple key factors in the 3D printing process through a comprehensive judgment of three evaluation results (printing stability, environmental conditions, and support structure). This comprehensive consideration helps to identify problems more comprehensively and accurately, avoiding the limitations of single factor evaluation. For each evaluation result, the system generates a corresponding adjustment strategy. For example, in the case of unqualified printing stability, by comparing the printing stability coefficient DYx and the first parameter threshold Q1, the system can generate a specific printing stability adjustment strategy, realizing a refined solution to the problem. Since the data is collected in real time and the adjustment strategy is generated immediately when the comprehensive evaluation is unqualified, the system has a real-time feedback mechanism. This helps to adjust and correct problems in a timely manner, and improves the flexibility and efficiency of the production process. Each evaluation result is compared with the set threshold, and these thresholds can be set and adjusted according to specific needs. This makes the system more customizable and can adapt to the requirements of different processes and materials. Through real-time evaluation and adjustment, the system can avoid producing unqualified products during the printing process. This helps to improve production efficiency, reduce scrap rate, and ensure that product quality meets standards.

[0106] Example 9: This example is an explanation of Example 8. Figure 1 Specifically, the first adjustment strategy includes: adjusting the print head temperature wd1 to optimize the melting state, adjusting the printing rate sl to control the uniform stacking of interlayer adhesion, adjusting the remaining extrusion amount jcl to ensure that there is no excessive material extrusion when the print head moves, affecting the 3D printing quality, and adjusting the print head position deviation value pcz to ensure that the printing position of each layer is accurate to avoid structural defects caused by position offset; by optimizing the melting state, it can ensure that the material is melted evenly at a suitable temperature to improve the printing quality. Controlling the uniform stacking of interlayer adhesion helps prevent problems such as interlayer peeling and improves the stability of printing. Ensure that there is no excessive material extrusion when the print head moves, thereby avoiding negative effects on the printing quality. Ensure that the printing position of each layer is accurate to avoid structural defects caused by position offset and improve the accuracy of geometric shapes.

[0107] The second adjustment strategy includes: adjusting the ambient temperature wd2 and the ambient humidity sd to avoid the material from absorbing moisture or being too dry to affect the printing quality, adjusting the light intensity gz to provide the material to solidify within the standard time, and adjusting the air pollution particle concentration klnd to reduce air pollution; avoiding the problem of material absorbing moisture or being too dry to ensure that the quality of the material is not affected by environmental conditions. Providing the material to solidify within the standard time helps control the curing speed during the printing process and improve the printing quality. Reducing particulate pollution in the air ensures that the impact of the environment on the printing quality is minimized.

[0108] The third adjustment strategy: optimize the support density MD, adjust the angle jjz between the support structure and the surface of the printed object to provide support force; adjust the bottom width dbkd and the upper width sbkd of the support structure and optimize the support stress coefficient YLx to ensure that the support structure is stable and easy to remove. Ensure that the support structure fully supports the printed object to avoid too much or too little support. Provide appropriate support force to ensure that the support structure is firm. Optimize the shape of the support structure to make it more suitable for the shape of the printed object. Ensure the stability and easy removal of the support structure to reduce the impact on the finished product.

[0109] A 3D printer three-dimensional modeling system based on digital twins, including a digital twin modeling module, a real-time monitoring module, a digital model analysis and calculation module, a state evaluation module and a control module, a control strategy generation module, a digital twin model update module and a user interface module;

[0110] The digital twin modeling module is used to establish a three-dimensional digital twin digital model, integrating the CAD model and the processed point cloud data to model a geometric shape with adjustable parameters;

[0111] The real-time monitoring module is used to monitor and collect the first parameter real-time data, the second real-time environment data and the third support structure data in the whole process of the 3D printer in real time;

[0112] The digital model analysis and calculation module is used to input the real-time collected data into the three-dimensional digital model, and obtain the printing stability coefficient DYx, the environmental impact coefficient HJx and the support firmness coefficient LGx through analysis and calculation; and obtain the comprehensive evaluation coefficient PGx by associating the printing stability coefficient DYx, the environmental impact coefficient HJx and the support firmness coefficient LGx;

[0113] The state evaluation module and the control module are used to perform state evaluation according to the comprehensive evaluation coefficient PGx and the set threshold value, and generate corresponding control instructions when the comprehensive evaluation coefficient PGx is unqualified;

[0114] A control strategy generation module is used to generate corresponding adjustment strategies when an unqualified state is found, including a first adjustment strategy, a second adjustment strategy and a third adjustment strategy, which specifically involve the adjustment of printing parameters, environmental conditions and support structures;

[0115] The digital twin model update module is used to update the digital twin model based on real-time monitoring data and the results of adjustment strategies to continuously optimize the modeling effect and improve the prediction accuracy;

[0116] The user interface module is used to provide a user-friendly interface for displaying real-time monitoring data, evaluation results, adjustment strategies, and system status, while allowing users to interact and set up.

[0117] Specific data example: Assumption: The following data is collected:

[0118] Print head temperature wd1 = 200°C; printing speed sl = 50 mm / s; remaining extrusion volume jcl = 5 mm3 / s;

[0119] Print head position deviation value pcz = 0.2mm; ambient temperature wd2 = 25°C; ambient humidity sd = 50%; light intensity luxgz = 800lux;

[0120] Air pollution particle concentration klnd = 20μg / m3; support density MD = 0.003g / mm3;

[0121] The angle between the support structure and the printed object surface is jjz=45; the bottom width of the support structure is dbkd=2mm;

[0122] The upper width of the supporting structure is sbkd = 1 mm; the supporting stress coefficient is YLx = 150 MPa;

[0123] At the same time, use the preset parameter values ​​and scale factors:

[0124] The preset standard print head temperature threshold bz1 = 220°C;

[0125] The preset printing speed threshold bz2=60mm / s;

[0126] The preset standard remaining extrusion volume threshold bz3=8mm3 / s;

[0127] The preset standard print head position deviation value threshold bz4 = 0.3 mm; the preset standard ambient temperature threshold bz5 = 30°C;

[0128] The preset environmental humidity threshold bz6 = 60%; the preset standard light intensity threshold uxbz7 = 1000 lux; the preset standard air pollution particle concentration threshold bz8 = 30 μg / m3;

[0129] The preset standard support structure density threshold bz9=0.005g / mm3;

[0130] The preset angle threshold value bz10 between the support structure and the printed object surface is 60;

[0131] The preset standard support structure bottom width threshold bz11=3mm;

[0132] The preset standard support structure upper width threshold bz12=2mm;

[0133] The preset standard support stress coefficient threshold value bz13=200MPa;

[0134] And the scaling factor:

[0135] E1=0.15; E2=0.20; E3=0.22; E4=0.25; E5=0.18; E6=0.15; E7=0.25;

[0136] E8=0.32; E9=0.22; E10=0.12; E11=0.24; E12=0.12; E13=0.30; second correction constant B=0.05; C=0.03; D=0.05;

[0137] Substituting into the formula we get

[0138] DYx≈0.06818+0.08333+0.176+0.3333+0.05≈0.7108; DYx≈0.7108 in this data example. This value can be used in the subsequent comprehensive evaluation process;

[0139] Substituting into the formula we get:

[0140] HJx≈0.15+0.125+0.3125+0.2133+0.03HJx≈0.15+0.125+0.3125+0.2133+0.03≈0.8318;

[0141] Therefore, the environmental impact coefficient HJx under this data example is about 0.8318. This value can be used in the subsequent comprehensive evaluation process.

[0142] Substituting into the formula we get:

[0143] LGx≈0.2933; The support firmness coefficient LGx in this data example is about 0.2933. This value can be used in the subsequent comprehensive evaluation process.

[0144] It is known that DYx≈0.7108; HJx≈0.8318; LGx≈0.2933;

[0145] Now, substitute these values ​​into the associated formula to generate the comprehensive evaluation coefficient PGx. Assume that the weight α = 0.6, the weight β = 0.4, and use the natural logarithm ln2 with base 2. Substitute into the formula:

[0146]

[0147] The comprehensive evaluation coefficient PGx is about 1.2242, and the first standard threshold value X is set to 1.2. Therefore, PGx is greater than X.

[0148] Thereby, a first failure state is generated.

[0149] A first evaluation was made on printing stability.

[0150] Compare the printing stability coefficient DYx with the first parameter threshold Q1. Assume that Q1 is 0.7.

[0151] If DYx>Q1, it means that the printing stability is not qualified. In this example, DYx is greater than Q1. Therefore, a first adjustment strategy is generated, which may include adjusting the print head temperature, print rate, remaining extrusion volume or print head position deviation value to optimize the printing stability. A second assessment is performed for environmental conditions.

[0152] Compare the environmental impact coefficient HJx with the second environmental threshold Q2. Assume Q2 is 0.8. If HJx>Q2, it means that the environmental conditions are not qualified. In this example, HJx is greater than Q2. Therefore, a second adjustment strategy is generated, which may include adjusting the ambient temperature, humidity, light intensity or air pollution particle concentration to improve the environmental conditions. Perform a third assessment on the support structure.

[0153] Compare the support firmness coefficient LGx with the third support stability threshold Q3. Assume Q3 is 0.3.

[0154] If LGx < Q3, it indicates that the firmness of the support structure is unqualified. In this example, LGx is less than Q3.

[0155] Therefore, a third adjustment strategy is generated, which may include optimizing the support density, the angle between the support structure and the surface of the printed object, the bottom width of the support structure, the upper width of the support structure, or the support stress coefficient, etc., to improve the firmness of the support structure.

[0156] Although the embodiments of the present invention have been shown and described, it will be understood by those of ordinary skill in the art that various changes, modifications, substitutions, and variations can be made to these embodiments without departing from the principles and spirit of the present invention, and the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A 3D printer three-dimensional modeling method based on digital twin, characterized in that: The following steps are included: Step 1: Establish a three-dimensional digital twin digital model, import the CAD model of the object to be printed into the three-dimensional digital twin digital model, use a 3D scanner to scan the actual object to generate point cloud data, import the point cloud data into the three-dimensional digital twin digital model for modeling, and model the object to be printed into a geometric shape with adjustable parameters; Step 2: Real-time monitoring and collection of first parameter real-time data, second real-time environmental data and third support structure data during the entire process of the 3D printer, wherein the first parameter real-time data includes the print head temperature wd1, the print speed sl, the remaining extrusion amount jcl and the print head position deviation value pcz; the second real-time environmental data includes the ambient temperature wd2, the ambient humidity sd, the light intensity gz and the air pollution particle concentration klnd; the third support structure data includes the support density MD, the angle value jjz between the support structure and the surface of the printed object, the support structure bottom width dbkd, the support structure upper width sbkd and the support stress coefficient YLx; Step 3: Input the first parameter real-time data, the second real-time environmental data and the third support structure data into the three-dimensional digital model, and analyze and calculate to obtain: printing stability coefficient DYx, environmental impact coefficient HJx and support firmness coefficient LGx; The comprehensive evaluation coefficient PGx is obtained by correlating the printing stability coefficient DYx, the environmental impact coefficient HJx and the support firmness coefficient LGx; The printing stability coefficient DYx is obtained by extracting the print head temperature wd1, the print speed sl, the remaining extrusion amount jcl and the print head position deviation value pcz from the first parameter real-time data, and after dimensionless processing, the printing stability coefficient DYx is generated by the following formula: Wherein, bz1 represents the preset standard print head temperature threshold, bz2 represents the preset printing rate threshold, bz3 represents the preset standard remaining extrusion amount threshold, and bz4 represents the preset standard print head position deviation value threshold; E1, E2, E3 and E4 represent preset proportional coefficients, and 0.12≤E1≤0.18, 0.15≤E2≤0.22, 0.20≤E3≤0.25, 0.25≤E4≤0.35, and E1+E2+E3+E4≤1.0; B represents a second correction constant; The environmental impact coefficient HJx is obtained by extracting the ambient temperature wd2, ambient humidity sd, light intensity gz and air pollution particle concentration klnd from the second real-time environmental data; after dimensionless processing, the environmental impact coefficient HJx is generated by the following formula: Wherein, bz5 represents the preset standard ambient temperature threshold, bz6 represents the preset ambient humidity threshold, bz7 represents the preset standard light intensity threshold, and bz8 represents the preset standard air pollution particle concentration threshold; E5, E6, E7 and E8 represent preset proportional coefficients, and 0.15≤E5≤0.22, 0.12≤E6≤0.18, 0.22≤E7≤0.25, 0.32≤E8≤0.35, and E5+E6+E7+E8≤1.0; C represents a third correction constant; The support firmness coefficient LGx is obtained by extracting the third support structure data including the support density MD, the angle value jjz between the support structure and the surface of the printed object, the bottom width dbkd of the support structure, the upper width sbkd of the support structure and the support stress coefficient YLx; after dimensionless processing, the support firmness coefficient LGx is generated by the following formula: Wherein, bz9 represents the preset standard support structure density threshold, bz10 represents the angle value threshold between the preset support structure and the surface of the printed object, bz11 represents the preset standard support structure bottom width threshold, bz12 represents the preset standard support structure upper width threshold, bz13 represents the preset standard support stress coefficient threshold; E9, E10, E11, E12 and E13 represent preset proportional coefficients, and 0.20≤E9≤0.22, 0.10≤E10≤0.12, 0.21≤E11≤0.25, 0.11≤E12≤0.13, 0.25≤E12≤0.28, and E9+E10+E11+E12+E13≤1.0; D represents the fourth correction constant; The printing stability coefficient DYx, environmental impact coefficient HJx and support firmness coefficient LGx are combined to generate a comprehensive evaluation coefficient PGx through the following correlation formula; Wherein, 0≤α≤1, 0≤β≤1, and α+β=1, α and β are weights, and ln 2 is a logarithmic operation with 2 as the base; Step 4. When the comprehensive evaluation coefficient PGx is greater than the first standard threshold X, it indicates that the current comprehensive evaluation presents the first unqualified state; when the first unqualified state is generated again, a control instruction is generated, and the printing stability coefficient DYx is compared with the first parameter threshold Q1 to obtain the first evaluation result; the environmental impact coefficient HJx is compared with the second environmental threshold Q2 to obtain the second evaluation result; the support firmness coefficient LGx is compared with the third support stability threshold Q3 to obtain the third evaluation result; and a corresponding control strategy is generated based on the first evaluation result, the second evaluation result and the third evaluation result.

2. A 3D printer three-dimensional modeling method based on digital twin according to claim 1, characterized in that: The step one comprises: S11, importing the CAD model of the object to be printed into the three-dimensional digital twin digital model, using standard CAD file formats, including STL or OBJ; S12. Use a 3D scanner to scan the actual object and obtain point cloud data; ensure that the scan covers all parts of the object to obtain complete geometric shape information; S13, importing the point cloud data into the three-dimensional digital twin digital model, and performing a first processing using a point cloud processing tool; the first processing includes filtering, reconstruction, and smoothing operations of the point cloud to obtain a clear geometric model; S14. Based on the point cloud data, using the built-in modeling tools of the three-dimensional digital twin digital model, the object to be printed is modeled into a geometric shape with adjustable parameters for a second processing; the second processing includes surface fitting, boundary extraction and curve modeling steps.

3. A 3D printer three-dimensional modeling method based on digital twin according to claim 1, characterized in that: The print head temperature wd1 is measured by a thermocouple sensor installed on the 3D print head; the printing rate sl is measured by an acceleration sensor installed on the 3D print head; the remaining extrusion amount jcl is measured by a 3D printer extruder sensor; the print head position deviation value pcz is obtained by measuring the actual print head position through a position encoder and comparing it with the preset position value of the printing model of the three-dimensional digital twin digital model.

4. The 3D modeling method of a 3D printer based on digital twin according to claim 1, characterized in that: The ambient temperature wd2 is measured by a temperature sensor installed in the 3D printer area; the ambient humidity sd is measured by a humidity sensor installed in the 3D printer area; the light intensity gz is measured by a photoelectric sensor installed in the 3D printer area; the air pollution particle concentration klnd is measured by a resistive particle sensor installed in the 3D printer area.

5. The 3D printer 3D modeling method based on digital twin according to claim 1, characterized in that: The support density MD is obtained by collecting the support material structure weight zl, volume tj and surface area bmj, and after dimensionless processing, the support density MD is obtained by the following formula: The angle value jjz between the support structure and the surface of the printed object is obtained by measuring the angle between the hot bed and the support structure by an angle sensor; The bottom width dbkd of the support structure and the upper width sbkd of the support structure are acquired by a distance measuring sensor; The support stress coefficient YLx is obtained by setting n positions according to the shape of the support structure, installing stress sensors, and measuring and obtaining n stress values ​​Yl1, Yl2, Yl3, ..., Yl n After that, the support stress coefficient YLx is calculated by the following average calculation method: Wherein, A represents the first correction constant.

6. The 3D printer 3D modeling method based on digital twin according to claim 1, characterized in that: If the comprehensive evaluation coefficient PGx> the first standard threshold value X, it means that the current comprehensive evaluation is unqualified; if the comprehensive evaluation coefficient PGx≤the first standard threshold value X, it means that the current comprehensive evaluation is qualified and production continues; When the comprehensive evaluation is unqualified, a first unqualified state is generated, and the printing stability coefficient DYx is compared with the first parameter threshold Q1 to obtain a first evaluation result, including: when the printing stability coefficient DYx> the first parameter threshold Q1, it means that the printing stability is unqualified, and a first adjustment strategy is generated; when the printing stability coefficient DYx≤the first parameter threshold Q1, it means that the printing stability meets the standard and is in a qualified state; Compare the environmental impact coefficient HJx with the second environmental threshold Q2 to obtain a second evaluation result, including: when the environmental impact coefficient HJx> the second environmental threshold Q2, it indicates that the environmental condition is unqualified, and a second adjustment strategy is generated; when the environmental impact coefficient HJx≤ the second environmental threshold Q2, it indicates that the environmental condition is qualified; The support firmness coefficient LGx is compared with the third support stability threshold Q3 to obtain a third evaluation result, including: when the support firmness coefficient LGx is less than the third support stability threshold Q3, it indicates that the firmness of the support structure is unqualified, and a third adjustment strategy is generated; when the support firmness coefficient LGx is greater than or equal to the third support stability threshold Q3, it indicates that the support structure meets the standard and is in a qualified state.

7. A 3D printer three-dimensional modeling method based on digital twinning according to claim 6, characterized in that: The first adjustment strategy includes: adjusting the print head temperature wd1 to optimize the melting state, adjusting the printing rate sl to control the uniform stacking of interlayer adhesion, adjusting the remaining extrusion amount jcl to ensure that too much material will not be extruded when the print head moves, affecting the 3D printing quality, and adjusting the print head position deviation value pcz to ensure that the printing position of each layer is accurate to avoid structural defects caused by position deviation; The second adjustment strategy includes: adjusting the ambient temperature wd2 and the ambient humidity sd to prevent the material from absorbing moisture or being too dry to affect the printing quality, adjusting the light intensity gz to ensure that the material is cured within the standard time, and adjusting the concentration of air pollution particles klnd to reduce air pollution; The third adjustment strategy: optimize the support density MD, adjust the angle jjz between the support structure and the surface of the printed object to provide support force; adjust the bottom width dbkd and the upper width sbkd of the support structure and optimize the support stress coefficient YLx to ensure that the support structure is stable and easy to remove.

8. A 3D printer three-dimensional modeling system based on digital twin, comprising a 3D printer three-dimensional modeling method based on digital twin according to any one of claims 1 to 7, characterized in that: It includes digital twin modeling module, real-time monitoring module, digital model analysis and calculation module, state assessment module and control module, control strategy generation module, digital twin model update module and user interface module; The digital twin modeling module is used to establish a three-dimensional digital twin digital model, integrating the CAD model and the processed point cloud data to model a geometric shape with adjustable parameters; The real-time monitoring module is used to monitor and collect the first parameter real-time data, the second real-time environment data and the third support structure data in the whole process of the 3D printer in real time; The digital model analysis and calculation module is used to input the real-time collected data into the three-dimensional digital model, and obtain the printing stability coefficient DYx, the environmental impact coefficient HJx and the support firmness coefficient LGx through analysis and calculation; The comprehensive evaluation coefficient PGx is obtained by correlating the printing stability coefficient DYx, the environmental impact coefficient HJx and the support firmness coefficient LGx; The state evaluation module and the control module are used to perform state evaluation according to the comprehensive evaluation coefficient PGx and the set threshold value, and generate corresponding control instructions when the comprehensive evaluation coefficient PGx is unqualified; A control strategy generation module is used to generate corresponding adjustment strategies when an unqualified state is found, including a first adjustment strategy, a second adjustment strategy and a third adjustment strategy, which specifically involve the adjustment of printing parameters, environmental conditions and support structures; The digital twin model update module is used to update the digital twin model based on real-time monitoring data and the results of adjustment strategies to continuously optimize the modeling effect and improve the prediction accuracy; The user interface module is used to provide a user-friendly interface for displaying real-time monitoring data, evaluation results, adjustment strategies, and system status, while allowing users to interact and set up.

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