Title :
Multi-component genetic algorithm for generating best bending sequence and tool selection in sheet metal parts
Author :
Thanapandi, Chitra Malini ; Walairacht, A. ; Ohara, Shigeyuki
Author_Institution :
Dept. of Electron., Tokai Univ., Kanagawa, Japan
Abstract :
Investigates a multi-component genetic algorithm for obtaining an optimal solution to the problem of generating bending sequence and tool selection in sheet metal parts. The multi-component genetic algorithm represents three important factors that determine the feasible solution the bend sequence, punch and die to be selected. We analyze and define the problem and discuss our approach towards solving it and the ideas are being implemented and evaluated using the real part data.
Keywords :
bending; computer aided production planning; genetic algorithms; best bending sequence; multi-component genetic algorithm; sheet metal parts; tool selection; Algorithm design and analysis; Collision avoidance; Explosions; Genetic algorithms; Genetic engineering; Manufacturing industries; Metals industry; Process planning; Shape; Throughput;
Conference_Titel :
Robotics and Automation, 2001. Proceedings 2001 ICRA. IEEE International Conference on
Print_ISBN :
0-7803-6576-3
DOI :
10.1109/ROBOT.2001.932653
