Method for generating simulation target blank in solid milling simulation process

Abstract

The invention relates to a method for generating a simulation target blank in the solid milling simulation process, which comprises the following steps of: firstly, selecting a cutting path which needs to be simulated as a target path; secondly, establishing a sweep-over body space of a tool in the process of moving along the target path and using the sweep-over body space as a coverage range of the target path; thirdly, according to the coverage range of the target path, determining an influence range of the target path; fourthly, according to the influence range of the target path, identifying influence paths which influence the processing of the target path; fifthly, applying a solid modeling platform to generate tool sweep-over bodies of all the influence paths of the target path; and sixthly, removing the tool sweep-over bodies of all the influence paths of the target path from an original blank to obtain the simulation target blank corresponding to the target path. According to the method disclosed by the invention, the structural complexity of the target blank can be controlled in a constant order, so that the efficiency of the subsequent boolean operation is promoted and the simulation efficiency of a simulation system is improved.

Description

technical field [0001] The invention relates to a method for generating the shape of a processed blank that participates in the Boolean operation when extracting cutting intervals in the simulation of milling force by a solid method. Background technique [0002] The milling simulation process is the process of cutting the target blank by simulating the milling cutter. On the one hand, this process can perform geometric simulation such as miscut judgment and surface accuracy inspection, and on the other hand, it can perform cutting by extracting the cutting range and combining physical models such as cutting force. Force calculation, cutting deformation calculation and other physical simulations, so as to optimize the process parameters such as feed rate and spindle speed. [0003] Because physical simulation can provide optimized process parameters, it has important application prospects in engineering practice. To perform physical simulation calculations, it is first nece...

AI Technical Summary

Problems solved by technology

Using this method, the structural complexity of the resulting target blank increases linearly with the number of milling paths that precede the simulation path, and the increasing structural complexity of the blank leads to subsequent Boolean intersection operations between the tool and the target blank The time complexity of the simulation system is constantly increasing, which leads to the continuous reduction of the calculation speed of the entire simulation system and the continuous consumption of computer simulation resources, so it cannot meet the situation of many cutting paths in actual engineering applications.

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