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Forward additive manufacturing control method based on physical model drive of material

A technology of additive manufacturing and physical model, applied in the field of additive manufacturing, can solve the problems of not accumulating enough verification data of industrial products, unable to connect manufacturing experience parameters with performance and reliability parameters, etc.

Active Publication Date: 2019-05-03
苏州先机动力科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

"However, at this stage, 3D crystal printing manufacturing technology only occupies a very limited position in industrial production, and has not yet accumulated enough industrial product verification data, so that it is impossible to effectively link manufacturing experience parameters with performance and reliability parameters

Method used

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  • Forward additive manufacturing control method based on physical model drive of material
  • Forward additive manufacturing control method based on physical model drive of material
  • Forward additive manufacturing control method based on physical model drive of material

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0088] Such as figure 2 and image 3 As shown, when the material is a designed industrial component, the forward additive manufacturing control method also includes:

[0089] S201, using computer modeling to grid the designed industrial parts, and directly using the standard material microstructure parameter combination corresponding to the highest probability distribution point of the industrial part material SMP-MAX as the material data of the starting point analysis;

[0090] S202, input the above-mentioned standard combination of material microstructure parameters and perform load analysis (such as CFD hydrodynamic analysis), obtain the load status (LD, LOAD) of industrial component materials, and call the overall life analysis module PHLM to perform structural finite element analysis FEA, Obtain the structural deformation DEFORMATION of the industrial component material;

[0091] S203, input the load condition LOAD and structural deformation DEFORMATION of the industri...

Embodiment 2

[0103] Such as Figure 4 As shown, when the material is an industrial part of fuzzy design, the forward additive manufacturing control method also includes:

[0104] S401, operate the fuzzy-designed industrial parts according to the steps S201-S206 of designing the shaped industrial parts, if the predetermined material microstructure parameter combination exceeds the material microstructure parameter combination range of the manufacturing inventory standard of the additive manufacturing equipment, the design The scheme is eliminated. If all the design schemes are eliminated, it is determined to modify or re-select the design scheme corresponding to the highest expected critical life of industrial components;

[0105] S402, sort the design plan of the material microstructure parameter combination range of the manufacturing inventory standard of the additive manufacturing equipment according to the expected critical life of the industrial parts and the manufacturing control para...

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Abstract

The invention relates to a forward additive manufacturing control method based on physical model drive of a material. The method comprises the following steps: constructing an integral service life analyzing module based on a physical model of a microstructure of the material; searching and settling microstructure databases of the material in an additive manufacturing equipment range and carryingout summary and analysis to obtain a standard microstructure parameter combination of the material; establishing a corresponding relationship between a manufacturing control parameter group and a standard microstructure parameter combination of the material by using an artificial neural network; constructing an integral service life database of the material based on the physical model of the microstructure according to the standard microstructure parameter combination of the material for different materials; and constructing a forward driven additive manufacturing logic module by using the artificial neural network according to the integral service life database of the material, the standard microstructure parameter combination of the material, and the corresponding relationship between the manufacturing control parameter group and the standard microstructure parameter combination of the material, wherein the additive manufacturing logic module determines the priority of a manufacturing plan comprehensively.

Description

technical field [0001] The invention relates to the technical field of additive manufacturing, in particular to a forward additive manufacturing control method driven by a material physical model. Background technique [0002] Additive Manufacturing (AM, Additive Manufacturing), commonly known as 3D printing, is a fusion of computer-aided design, material processing and forming technology, based on digital model files, through software and numerical control system to combine special metal materials, non-metal materials and medical Biological materials are piled up layer by layer according to extrusion, sintering, melting, photocuring, spraying, etc., to create a manufacturing technology for physical objects. [0003] The application prospects of 3D printed crystal (metal, ceramic and other materials) parts are broad, mainly in the fields of biomedicine and aerospace. Most of the crystal components coming out of 3D printing equipment must go through post-processing procedure...

Claims

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Application Information

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IPC IPC(8): B29C64/386B33Y50/00
Inventor 赵军陈滢
Owner 苏州先机动力科技有限公司
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