Genetic search applied to selecting support positions in machining of mechanical parts

被引:14
作者
Marcelin, JL [1 ]
机构
[1] Lab Sols Solides Struct, UMR CNRS C5521, F-38041 Grenoble 9, France
关键词
boundary conditions; genetic algorithms; machining; optimisation;
D O I
10.1007/s001700170169
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This work gives two examples of the application of stochastic techniques (genetic algorithms) to the optimisation of support positions in machining of mechanical parts. Optimisation consists of seeking the optimal nodes of the finite-element grid to ensure optimal locating and clamping with the objective of minimising the strain or stress of the part in the course of machining.
引用
收藏
页码:344 / 347
页数:4
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