CN112895462A - Material gene intelligent regulation method and system based on 3D printing - Google Patents
Material gene intelligent regulation method and system based on 3D printing Download PDFInfo
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B29—WORKING OF PLASTICS; WORKING OF SUBSTANCES IN A PLASTIC STATE IN GENERAL
- B29C—SHAPING OR JOINING OF PLASTICS; SHAPING OF MATERIAL IN A PLASTIC STATE, NOT OTHERWISE PROVIDED FOR; AFTER-TREATMENT OF THE SHAPED PRODUCTS, e.g. REPAIRING
- B29C64/00—Additive manufacturing, i.e. manufacturing of three-dimensional [3D] objects by additive deposition, additive agglomeration or additive layering, e.g. by 3D printing, stereolithography or selective laser sintering
- B29C64/30—Auxiliary operations or equipment
- B29C64/386—Data acquisition or data processing for additive manufacturing
- B29C64/393—Data acquisition or data processing for additive manufacturing for controlling or regulating additive manufacturing processes
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B29—WORKING OF PLASTICS; WORKING OF SUBSTANCES IN A PLASTIC STATE IN GENERAL
- B29C—SHAPING OR JOINING OF PLASTICS; SHAPING OF MATERIAL IN A PLASTIC STATE, NOT OTHERWISE PROVIDED FOR; AFTER-TREATMENT OF THE SHAPED PRODUCTS, e.g. REPAIRING
- B29C64/00—Additive manufacturing, i.e. manufacturing of three-dimensional [3D] objects by additive deposition, additive agglomeration or additive layering, e.g. by 3D printing, stereolithography or selective laser sintering
- B29C64/10—Processes of additive manufacturing
- B29C64/106—Processes of additive manufacturing using only liquids or viscous materials, e.g. depositing a continuous bead of viscous material
- B29C64/118—Processes of additive manufacturing using only liquids or viscous materials, e.g. depositing a continuous bead of viscous material using filamentary material being melted, e.g. fused deposition modelling [FDM]
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B33—ADDITIVE MANUFACTURING TECHNOLOGY
- B33Y—ADDITIVE MANUFACTURING, i.e. MANUFACTURING OF THREE-DIMENSIONAL [3-D] OBJECTS BY ADDITIVE DEPOSITION, ADDITIVE AGGLOMERATION OR ADDITIVE LAYERING, e.g. BY 3-D PRINTING, STEREOLITHOGRAPHY OR SELECTIVE LASER SINTERING
- B33Y50/00—Data acquisition or data processing for additive manufacturing
- B33Y50/02—Data acquisition or data processing for additive manufacturing for controlling or regulating additive manufacturing processes
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Abstract
The invention discloses a material gene intelligent regulation method based on 3D printing, which comprises the following steps: (1) setting a main control computer; (2) setting a 3D printer; (3) starting; (4) setting corresponding parameters; (5) controlling a 3D printer to print; (6) displaying the fluctuation condition of each parameter in the printing bin; (7) after printing is finished, the parameter changes are arranged into reports to be stored and output. The invention also discloses a system for implementing the method, which comprises a main control computer and a 3D printer, wherein gene intelligent regulation software is arranged in the main control computer, and the software comprises the following functional modules: the device comprises a parameter setting module, an environment control module, a dynamic display module, an intelligent adjusting module and a data management module. The invention can accurately provide an optimal scheme through the material genes, efficiently monitor indexes of all links in the printing bin in the whole printing process and improve the controllability and the data feedback capacity in the printing process.
Description
Technical Field
The invention mainly relates to the technical field of polymer material preparation, in particular to a material gene intelligent regulation method and system based on 3D printing.
Background
The polymer material can only have practical application value by preparing specific shape, structure and performance through a certain processing and forming process. The 3D printing technology partially realizes the design of material structure on the basis of the existing processing and forming technology, and has natural orderliness and interlayer interaction force due to the specific forming mode of bottom-up layered printing, thereby having wide research potential in the technical field of polymer heat-conducting composite materials.
3D printing has obvious advantages compared with the traditional machining and forming process. First, 3D printing technology provides low-cost modeling support for some special structures, such as their application in the field of biological scaffolds. Secondly, because it is formed through layer upon layer accumulation, each layer is covered by the route of extrusion silk for the extrusion silk becomes the minimum building element of 3D printing, through the modification to extrusion silk, just can realize the modified design to the material is whole, and further provides two designable constitutional units: layers and paths. Finally, the greatest advantage of 3D printing over traditional machining is the integrity for multi-material machining. When the traditional forming process meets the requirement of multi-material processing, splicing, assembly and other modes are generally adopted for realizing, and 3D printing can organically combine the materials to realize integrated forming.
Meanwhile, the existing 3D printing also has great limitations, such as printing scale, printing precision, printing speed, and the like. But the most prominent of the three-dimensional printing method is the expansion of the material types applied to 3D printing and the effective control and feedback of various parameter indexes in a printing bin in the printing process. By means of the concept of material genes and combination of modern computer technology, material development of the 3D printing technology and real-time monitoring in the printing process become possible. This, if implemented, would enable the range of applications of 3D printing technology to be greatly developed and extended, as a generalized modeling technique suitable for most materials. However, real-time monitoring of the printed material and the environmental conditions, as well as higher controllability of the structure and performance of the designed composite material, have not been achieved, which has significant technical difficulties and challenges.
Disclosure of Invention
Aiming at the defects of the prior art, the invention aims to provide a material gene intelligent regulation method and system applied to a 3D printing technology, which can finally realize the controllability of the structure and the performance of a printing material by dynamically regulating and controlling the scheme selection before printing and the environmental change during printing in real time.
In order to achieve the purpose, the technical scheme provided by the invention is as follows:
a material gene intelligent regulation method based on 3D printing is characterized by comprising the following steps:
(1) setting a main control computer with intelligent material gene regulating software;
(2) setting a 3D printer and connecting the printer with the main control computer;
(3) starting a main control computer and a 3D printer;
(4) setting corresponding parameters according to specific printing materials and printing requirements through material gene intelligent regulation software built in a main control computer and a parameter setting module;
(5) configuring a printing material for a 3D printer, controlling the 3D printer to print by a main control computer according to set parameters, monitoring real-time environmental conditions in a printing bin through an environmental control module in the printing process, printing if the environmental conditions are met, adjusting various data parameters in the printing bin through an intelligent adjusting module if the environmental conditions are not met, and printing after the data parameters are met; the environment control module keeps the fluctuation of each parameter within an acceptable range all the time, so that the relative stability of the printing environment is ensured;
(6) in the printing process, the fluctuation conditions of various parameters in the printing bin are dynamically displayed in real time through a dynamic display module, if the fluctuation conditions meet set parameters, the printing is continued, and if the fluctuation conditions do not meet the set parameters, the environment control module adjusts the fluctuation conditions to meet the set parameters and then the printing is continued;
(7) during and after printing, the data management module is used for organizing various parameter changes in the printing process into reports, and displaying, storing and outputting the reports.
The parameter setting module comprises two submodules of system parameter setting and control parameter setting; the system parameter setting submodule corresponds to data parameters of used printing materials, and the control parameter setting submodule corresponds to data parameters of a post-printing forming device; the two sub-modules are both preset with three priority options and are identified according to the priority options, an optimal solution meeting all the priority options simultaneously is given, and an optimal solution recommendation report is provided.
The three priority options, at least one of which is specified, are the type and the structural design of the material or the performance of the formed part; the recognition result of the provided optimal solution recommendation report is the optimal solution for balancing all priority options, is irrelevant to the filling sequence, and the weights of the three options are the same.
The environment control module comprises conditions such as but not limited to temperature, humidity, air pressure, vacuum degree and the like; when the printing is preheated, various environmental parameters in the printing bin are controlled to be adjusted to the optimal values in the recommendation report.
The dynamic display module displays the environmental parameters in the printing bin after the printing starts, including but not limited to dynamic feedback of the parameters such as temperature, humidity, air pressure, vacuum degree, printing speed, printing expected time and the like; and the stability and the reliability of the parameters are ensured by using the mean value removing method and the signal filtering processor for processing together.
The intelligent adjusting module controls the environmental parameters in the printing cabin in the dynamic display module within a certain interval, and the control interval is preset. For example, the control temperature is maintained within a range of ± 5 ℃ of the standard temperature.
The environmental parameter control in the printing bin is that the environmental parameter can be still modified after the parameter is specified in the printing process; and regulating other modules to continue printing according to the newly set parameters after modification.
The data management module forms a feedback report according to the fluctuation condition of each parameter in the printing process, and is accompanied with an evaluation report of each parameter, and the abnormal parameters are labeled and analyzed.
The data management module automatically stores the printing report to form a database; when the same operation needs to be carried out again, the parameter card is directly called from the database.
A material gene intelligent regulation system based on 3D printing for implementing the method is characterized by comprising a main control computer and a 3D printer connected with the main control computer, wherein the main control computer is internally provided with material gene intelligent regulation software, and the software comprises the following functional modules:
(1) the parameter setting module is used for setting different parameters according to different printing requirements;
(2) the environment control module is used for monitoring real-time environmental conditions in the printing bin;
(3) the dynamic display module is used for dynamically displaying the fluctuation condition of each parameter in the printing bin in real time during the printing process;
(4) the intelligent adjusting module is used for controlling the fluctuation of various data parameters in the printing bin to be always kept within an acceptable range, and ensuring the relative stability of a printing environment;
(5) and the data management module is used for arranging various parameter changes in the printing process into a report after printing is finished, and displaying, storing and outputting the report.
The invention has the beneficial effects that:
(1) the method and the system provided by the invention rely on a computer intelligent control technology, a material gene technology and a 3D printing technology, provide more possibilities for material selection of the 3D printing technology, greatly simplify the workload of new material research and development through updating and iteration of a feedback system, and expand the application range of the 3D printing technology.
(2) According to the method and the system provided by the invention, the built-in monitoring software of the 3D printing and forming technology and the built-in material gene intelligent regulation software of the main control computer are utilized, so that an optimal scheme can be accurately provided through the material gene, indexes of all links in a printing bin in the whole printing process are efficiently monitored, and the controllability and the data feedback capability in the printing process are improved.
(3) According to the method and the system provided by the invention, the material gene intelligent regulation system is based on a computer intelligent control technology, can dynamically regulate and control scheme selection before printing and environmental change during printing in real time, and finally realizes controllability on the structure and performance of the printing material; a brand-new digital idea is provided for a novel processing and forming process, and dynamic regulation and real-time feedback in other different forming modes can be widely met.
The foregoing is a summary of the technical solutions of the present invention, and the present invention is further described below with reference to specific embodiments.
Drawings
1. The structural schematic diagram of each module of the intelligent regulation system for the material gene provided by the embodiment of the invention is formed;
2. the embodiment of the invention provides an algorithm flow schematic diagram of a material gene intelligent regulation system.
Detailed Description
To further illustrate the technical means and effects of the present invention adopted to achieve the predetermined purposes, the following embodiments are combined to describe the specific embodiments of the present invention in detail.
Referring to the attached drawings 1-2, the invention mainly applies a 3D printing and forming technology emerging in the technical field of high polymer heat-conducting composite materials and an intelligent material gene feedback technology, and solves the problem of controllability of the structure and performance of a printing material.
The embodiment of the invention provides a material gene intelligent regulation method based on 3D printing, which comprises the following steps:
(1) setting a main control computer with intelligent material gene regulating software;
(2) setting a 3D printer and connecting the printer with the main control computer;
(3) starting a main control computer and a 3D printer;
(4) setting corresponding parameters according to specific printing materials and printing requirements through material gene intelligent regulation software built in a main control computer and a parameter setting module;
(5) configuring a printing material for a 3D printer, controlling the 3D printer to print by a main control computer according to set parameters, monitoring real-time environmental conditions in a printing bin through an environmental control module in the printing process, printing if the environmental conditions are met, adjusting various data parameters in the printing bin through an intelligent adjusting module if the environmental conditions are not met, and printing after the data parameters are met; the environment control module keeps the fluctuation of each parameter within an acceptable range all the time, so that the relative stability of the printing environment is ensured;
(6) in the printing process, the fluctuation conditions of various parameters in the printing bin are dynamically displayed in real time through a dynamic display module, if the fluctuation conditions meet set parameters, the printing is continued, and if the fluctuation conditions do not meet the set parameters, the environment control module adjusts the fluctuation conditions to meet the set parameters and then the printing is continued;
(7) during and after printing, the data management module is used for organizing various parameter changes in the printing process into reports, and displaying, storing and outputting the reports.
The parameter setting module comprises two submodules of system parameter setting and control parameter setting; the system parameter setting submodule corresponds to data parameters of used printing materials, and the control parameter setting submodule corresponds to data parameters of a post-printing forming device; the two sub-modules are both preset with three priority options and are identified according to the priority options, an optimal solution meeting all the priority options simultaneously is given, and an optimal solution recommendation report is provided.
The three priority options, at least one of which is specified, are the type and the structural design of the material or the performance of the formed part; the recognition result of the provided optimal solution recommendation report is the optimal solution for balancing all priority options, is irrelevant to the filling sequence, and the weights of the three options are the same.
The environment control module comprises conditions such as but not limited to temperature, humidity, air pressure, vacuum degree and the like; when the printing is preheated, various environmental parameters in the printing bin are controlled to be adjusted to the optimal values in the recommendation report.
The dynamic display module displays the environmental parameters in the printing bin after the printing starts, including but not limited to dynamic feedback of the parameters such as temperature, humidity, air pressure, vacuum degree, printing speed, printing expected time and the like; and the stability and the reliability of the parameters are ensured by using the mean value removing method and the signal filtering processor for processing together.
The intelligent adjusting module controls the environmental parameters in the printing cabin in the dynamic display module within a certain interval, and the control interval is preset. For example, the control temperature is maintained within a range of ± 5 ℃ of the standard temperature.
The environmental parameter control in the printing bin is that the environmental parameter can be still modified after the parameter is specified in the printing process; and regulating other modules to continue printing according to the newly set parameters after modification.
The data management module forms a feedback report according to the fluctuation condition of each parameter in the printing process, and is accompanied with an evaluation report of each parameter, and the abnormal parameters are labeled and analyzed.
The data management module automatically stores the printing report to form a database; when the same operation needs to be carried out again, the parameter card is directly called from the database.
A material gene intelligent regulation system based on 3D printing for implementing the method comprises a main control computer and a 3D printer connected with the main control computer, wherein the main control computer is provided with material gene intelligent regulation software, and the software comprises the following functional modules:
(1) the parameter setting module is used for setting different parameters according to different printing requirements;
(2) the environment control module is used for monitoring real-time environmental conditions in the printing bin;
(3) the dynamic display module is used for dynamically displaying the fluctuation condition of each parameter in the printing bin in real time during the printing process;
(4) the intelligent adjusting module is used for controlling the fluctuation of various data parameters in the printing bin to be always kept within an acceptable range, and ensuring the relative stability of a printing environment;
(5) and the data management module is used for arranging various parameter changes in the printing process into a report after printing is finished, and displaying, storing and outputting the report.
Detailed description of the preferred embodiment 1
In the method and system for intelligently adjusting material genes applied to the FDM printer provided in this embodiment, the control software includes: the parameter setting module is used for setting different parameters according to different printing requirements; the environment control module is used for monitoring real-time environmental conditions in the printing bin; the dynamic display module is used for dynamically displaying the fluctuation condition of each parameter in the printing bin in real time during printing; the intelligent adjusting module controls the fluctuation of various data parameters in the printing bin to be always kept in an acceptable range, and ensures the relative stability of the printing environment; and the data management module is used for organizing various parameter changes in the printing process into a report by the system after printing is finished, and displaying, storing and outputting the report.
The consumable material applied in this embodiment is added with 15 vol% Graphene Nanoplatelets (GNPs), and the base polymer is low density polyethylene (LLDPE). The heat-conducting performance and the mechanical performance are selected as performance priority options, and the X direction is selected as a priority printing direction. At this time, the parameter setting module of the FDM printer gives the optimal solution options: it is recommended to use a nozzle diameter of 0.6mm, a layer thickness set to 350 μm, a gas ejection temperature of 170 ℃, a filling rate of 100%, and an optimum printing speed of 1000 mm/min. Meanwhile, the mechanical property of the composite material can be effectively improved by further grinding the material. And (4) selecting the optimal solution option to set printing parameters, and printing ready.
In this embodiment, the environmental control module displays that the current temperature of the printing chamber is 21 ℃, the humidity is 12%, and the air pressure is 101.0 KPa. In the actual printing process, the temperature change in the cabin does not exceed 5 ℃, the humidity is reduced to 11%, the air pressure is maintained at 101.0KPa, and the printing environment is relatively stable. After printing is finished, the feedback report displays that the printing process is stable and normal.
This example performed a thermal conductivity test on the printed devices, at which time the thermal conductivity of the composite disks increased to 5.23W m-1K-1Compared with the LLDPE composite material which is obtained by traditional melt blending and added with 15 vol% GNPs, the thermal conductivity coefficient of the LLDPE composite material is improved by 160%.
In the embodiment, the mechanical property of the printed device is tested, the tensile strength is 15.1MPa, the tensile strength is improved by 116%, the Young modulus reaches 630.0MPa, and the Young modulus is improved by 3.5 times.
Specific example 2
The method and system for intelligently adjusting the gene of the material applied to the FDM printer provided in this embodiment are basically the same as those in embodiment 1, except that:
in the consumable material applied in this embodiment, 10 wt% of Graphene Nanoplatelets (GNPs) are added, and the base polymer is nylon 6(PA6), maleic anhydride grafted POE (POE-g-MAH) and Polystyrene (PS) in a ratio of 12: 8: 5 in mass ratio of the mixed polymer material. The thermal conductivity is selected as a performance priority option, while the X direction is selected as a priority printing direction. At this time, the parameter setting module of the FDM printer gives the optimal solution options: it is recommended to use a gas injection temperature of 250 deg.C, a bed temperature of 80 deg.C, a layer height of 0.1mm, and an optimum printing speed of 600 mm/min. And (4) selecting the optimal solution option to set printing parameters, and printing ready.
In this embodiment, the environmental control module displays that the current temperature of the printing chamber is 23 ℃, the humidity is 9%, and the air pressure is 101.1 KPa. In the printing process, the temperature change in the cabin does not exceed 4 ℃, the humidity is kept unchanged, the air pressure is maintained at 101.1KPa, and the printing environment is relatively stable. After printing is finished, the feedback report displays that the printing process is stable and normal.
In this example, the thermal conductivity of the printed device was tested, and the thermal conductivity of the block-shaped composite material increased to 6.2Wm-1 K-1The heat conductivity is improved by nearly 10 times.
Specific example 3
The embodiment provides a material gene intelligent regulation method and a material gene intelligent regulation system applied to an SLS printer, which are basically the same as the embodiments 1 and 2, and have the following differences:
in this example, a nylon 12(PA12) composite material with 40 wt% boron nitride nanoparticles (BN) added was selected. The heat conductivity coefficient and the mechanical property are selected as performance priority options, and the X direction is selected as a priority printing direction. The parameter setting module of the SLS printer gives the optimal solution options: selecting CO with wavelength of 10.6 μm, spot diameter of 400 μm and scanning speed of 7600mm/s2A laser. Laser power 35W, edge laser power 5W, scanning interval 0.15mm, powder layer thickness 0.1mm, powder layer preheating temperature 173 ℃ is adopted. And (4) selecting the optimal solution option to set printing parameters, and printing ready.
In this embodiment, the environmental control module displays that the current temperature of the printing chamber is 19 ℃, the humidity is 15%, and the air pressure is 101.1 KPa. In the printing process, the temperature change in the cabin is not more than 4 ℃, the humidity is reduced to 11%, the air pressure is maintained at 101.1KPa, and the printing environment is relatively stable. After printing is finished, the feedback report displays that the printing process is stable and normal.
In this example, the heat conductivity of the printed device was tested, and the heat conductivity of the composite material increased to 0.8Wm-1 K-1Compared with pure PA12 material, the thermal conductivity coefficient is improved by 80%.
In the embodiment, mechanical property tests are performed on the printed device, the tensile strength is 17.2MPa, the modulus of rupture reaches 28.6MPa, and the tensile strength and the modulus of rupture are respectively increased by 142% and 120% compared with a pure PA12 material.
According to the method and the system provided by the invention, through the built-in monitoring software aiming at the 3D printing and forming technology, an optimal scheme can be accurately provided through the material genes, meanwhile, indexes of all links in a printing bin in the whole printing process are efficiently monitored, and the controllability and the data feedback capability in the printing process are improved.
The above embodiments are only specific embodiments of the present invention, but the scope of the present invention is not limited thereto, and any changes or substitutions that can be easily conceived by those skilled in the art within the technical scope of the present invention are included in the scope of the present invention. Therefore, other adjustment methods and systems using the same or similar steps and structures as those of the above-described embodiments of the present invention are within the scope of the present invention.
Claims (10)
1. A material gene intelligent regulation method based on 3D printing is characterized by comprising the following steps:
(1) setting a main control computer with intelligent material gene regulating software;
(2) setting a 3D printer and connecting the printer with the main control computer;
(3) starting a main control computer and a 3D printer;
(4) setting corresponding parameters according to specific printing materials and printing requirements through material gene intelligent regulation software built in a main control computer and a parameter setting module;
(5) configuring a printing material for a 3D printer, controlling the 3D printer to print by a main control computer according to set parameters, monitoring real-time environmental conditions in a printing bin through an environmental control module in the printing process, printing if the environmental conditions are met, adjusting various data parameters in the printing bin through an intelligent adjusting module if the environmental conditions are not met, and printing after the data parameters are met; the environment control module keeps the fluctuation of each parameter within an acceptable range all the time, so that the relative stability of the printing environment is ensured;
(6) in the printing process, the fluctuation conditions of various parameters in the printing bin are dynamically displayed in real time through a dynamic display module, if the fluctuation conditions meet set parameters, the printing is continued, and if the fluctuation conditions do not meet the set parameters, the environment control module adjusts the fluctuation conditions to meet the set parameters and then the printing is continued;
(7) during and after printing, the data management module is used for organizing various parameter changes in the printing process into reports, and displaying, storing and outputting the reports.
2. The intelligent adjusting method for the material gene based on 3D printing is characterized in that the parameter setting module comprises two sub-modules of system parameter setting and control parameter setting; the system parameter setting submodule corresponds to data parameters of used printing materials, and the control parameter setting submodule corresponds to data parameters of a post-printing forming device; the two sub-modules are both preset with three priority options and are identified according to the priority options, an optimal solution meeting all the priority options simultaneously is given, and an optimal solution recommendation report is provided.
3. The 3D printing-based material gene intelligent regulation method as claimed in claim 2, wherein the three priority options, at least one of which is specified, specify the type, structural design or properties of the formed part; the recognition result of the provided optimal solution recommendation report is the optimal solution for balancing all priority options, is irrelevant to the filling sequence, and the weights of the three options are the same.
4. The method for gene intelligent regulation of materials based on 3D printing according to claim 1, wherein the environment control module includes but is not limited to temperature, humidity, air pressure, vacuum degree and other conditions; when the printing is preheated, various environmental parameters in the printing bin are controlled to be adjusted to the optimal values in the recommendation report.
5. The intelligent regulating method for the material gene based on 3D printing according to claim 1, wherein the dynamic display module displays the environmental parameters in the printing chamber after the printing starts, including but not limited to dynamic feedback of temperature, humidity, air pressure, vacuum degree, printing speed, printing expected time and the like; and the stability and the reliability of the parameters are ensured by using the mean value removing method and the signal filtering processor for processing together.
6. The intelligent regulating method for the genes of the material based on the 3D printing as claimed in claim 1, wherein the intelligent regulating module controls the environmental parameters in the printing chamber of the dynamic display module within a certain interval, and the control interval is preset.
7. The intelligent regulating method for the genes of the materials based on the 3D printing as claimed in claim 6, wherein the environmental parameters in the printing chamber are controlled, and the environmental parameters can be modified after being regulated in the printing process; and regulating other modules to continue printing according to the newly set parameters after modification.
8. The intelligent regulating method for the material gene based on 3D printing as claimed in claim 1, wherein the data management module forms a feedback report according to fluctuation of each parameter in the printing process, and additionally provides an evaluation report of each parameter, and the abnormal parameters are labeled and analyzed.
9. The intelligent regulating method for the material gene based on 3D printing as claimed in claim 8, wherein the data management module automatically stores the printing report to form a database; when the same operation needs to be carried out again, the parameter card is directly called from the database.
10. A material gene intelligent regulation system based on 3D printing for implementing the method of any one of claims 1 to 9, which is characterized by comprising a main control computer and a 3D printer connected with the main control computer, wherein the main control computer is provided with material gene intelligent regulation software, and the software comprises the following functional modules:
(1) the parameter setting module is used for setting different parameters according to different printing requirements;
(2) the environment control module is used for monitoring real-time environmental conditions in the printing bin;
(3) the dynamic display module is used for dynamically displaying the fluctuation condition of each parameter in the printing bin in real time during the printing process;
(4) the intelligent adjusting module is used for controlling the fluctuation of various data parameters in the printing bin to be always kept within an acceptable range, and ensuring the relative stability of a printing environment;
(5) and the data management module is used for arranging various parameter changes in the printing process into a report after printing is finished, and displaying, storing and outputting the report.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2023134028A1 (en) * | 2022-01-14 | 2023-07-20 | 杭州捷诺飞生物科技股份有限公司 | 3d printing control method and apparatus, and electronic device |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104090539A (en) * | 2014-06-13 | 2014-10-08 | 华南理工大学 | Modularization networking monitoring and management system applied to 3D printing equipment |
| CN107839240A (en) * | 2017-11-16 | 2018-03-27 | 杭州捷诺飞生物科技股份有限公司 | The 3 D-printing method and device monitored in real time |
| CN108127913A (en) * | 2017-12-22 | 2018-06-08 | 珠海天威飞马打印耗材有限公司 | Intelligent 3D printing system and its Method of printing |
-
2021
- 2021-01-19 CN CN202110066424.8A patent/CN112895462A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104090539A (en) * | 2014-06-13 | 2014-10-08 | 华南理工大学 | Modularization networking monitoring and management system applied to 3D printing equipment |
| CN107839240A (en) * | 2017-11-16 | 2018-03-27 | 杭州捷诺飞生物科技股份有限公司 | The 3 D-printing method and device monitored in real time |
| CN108481749A (en) * | 2017-11-16 | 2018-09-04 | 杭州捷诺飞生物科技股份有限公司 | The 3 D-printing method and device monitored in real time |
| CN108127913A (en) * | 2017-12-22 | 2018-06-08 | 珠海天威飞马打印耗材有限公司 | Intelligent 3D printing system and its Method of printing |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2023134028A1 (en) * | 2022-01-14 | 2023-07-20 | 杭州捷诺飞生物科技股份有限公司 | 3d printing control method and apparatus, and electronic device |
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