Optimization of multi-point contact cutter orientation based on genetic algorithm

被引：0
|
作者：
Zuo Y. [1 ,2 ]
Huang C. [1 ,2 ]
Zhang X. [1 ,2 ]
机构：
[1] Fujian Provincial Key Laboratory of Special Energy Manufacturing, Huaqiao University, Xiamen
[2] Key Laboratory of Digital Vision Measurement of Xiamen City, Huaqiao University, Xiamen
来源：
Jisuanji Jicheng Zhizao Xitong/Computer Integrated Manufacturing Systems, CIMS | 2022年 / 28卷 / 08期
关键词：
five-axis NC machining; genetic algorithms; shortest directed distance; toroidal cutter; multi-point contact;
D O I：
10.13196/j.cims.2022.08.016
中图分类号：
学科分类号：
摘要：
For the low computational efficiency and the inadequate maximization of machining strip width, a multipoint contact cutter orientation calculation method based on genetic algorithm was proposed for the toroidal cutter of 5-Axis NC machining. After transforming the initial toroidal cutter model with the given yaw angle and tilt angle and transforming the cutter orientation optimization area, the directed shortest distance between the discrete cutter model and the surface of the cutter orientation optimization area was accurately calculated for avoiding local gouging. To accurately calculate the machining strip width, the cutter model was moved by the directed shortest distance and then intersected with the constant scallop-height offset surface of the surface in the cutter orientation optimization area. Regarding the cutting strip width as the optimization target and regarding the yaw angle and tilt angle as the coding variables, a genetic algorithm was used to find the optimal yaw angle and tilt angle corresponding to the maximum machining strip width. Examples showed that the proposed algorithm could effectively achieve the optimization of 5-axis machining cutter orientation of toroidal cutter with the larger machining strip width and the higher computational efficiency. © 2022 CIMS. All rights reserved.
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页码：2449 / 2459
页数：10
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