3D printing model intelligent preprocessing method and device based on design component information

Abstract

The invention provides a 3D printing model intelligent preprocessing method and device for design component information and belongs to the technical field of 3D printing model preprocessing. According to the method, a three-dimensional CAD model of the removable partial denture and design component information thereof are obtained through a three-dimensional CAD model obtaining module, then a single target function for optimizing the supporting powder consumption, the 3D printing manufacturing time and the printing precision is designed according to the component surface size precision requirement and the component surface roughness requirement, finally the weight of a single target is set according to the actual requirement, and the tradeoff optimization among the 3D printing material cost, the 3D printing time cost and the 3D printing quality is realized. Model preprocessing does not need a large amount of operation by operators, and 3D printing model preprocessing is convenient and fast.

Description

technical field [0001] The invention relates to the technical field of 3D printing model preprocessing, in particular to an intelligent 3D printing model preprocessing method and device based on design component information. Background technique [0002] The model preprocessing of the traditional design link and the manufacturing link is separated, and the design and model preprocessing can only be partially optimized separately, so the optimization space is small, and it is impossible to carry out deep integration and optimization of multi-objectives such as powder material cost, manufacturing efficiency, and dimensional accuracy. In the existing technology, there are the following problems in model preprocessing: on the one hand, model preprocessing requires a lot of tedious operations by operators, and the efficiency is low; on the other hand, model preprocessing requires operators to accumulate experience, and it is difficult for novices to get started quickly. Contents...

AI Technical Summary

Problems solved by technology

[0002] The model preprocessing of the traditional design link and the manufacturing link is separated, and the design and model preprocessing can only be partially optimized separately, so the optimization space is small, and it is impossible to carry out deep integration and optimization of multi-objectives such as powder material cost, manufacturing efficiency, and dimensional accuracy.

In the existing technology, there are the following problems in model preprocessing: on the one hand, model preprocessing requires a lot of cumbersome operations by operators, and the efficiency is low; on the other hand, model preprocessing requires operators to accumulate experience, and it is difficult for novices to get started quickly

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