Title :
Tool path integration for spray forming processes using a genetic algorithm
Author :
Sheng, Weihua ; Tewolde, Girma ; Chen, Heping
Author_Institution :
Dept. of Electr. & Comput. Eng., Kettering Univ., Flint, MI
Abstract :
Spray forming is a new manufacturing process. The automated tool planning for this process is a nontrivial problem, especially for geometry-complicated parts consisting of multiple freeform surfaces. We have developed a tool path planning system which can automatically generate optimized tool plans. This paper focuses on the path integration problem, or how to connect the paths from different surface patches so that the overall path length is minimized. A genetic algorithm is developed to solve the integration problem. Experimental tests are carried out on automotive body parts and the results validate the proposed algorithm
Keywords :
forming processes; genetic algorithms; path planning; process control; spraying; automated tool planning; genetic algorithm; manufacturing process; spray forming; tool path integration; tool path planning; Genetic algorithms; Glass; Manufacturing processes; Painting; Paints; Path planning; Robots; Solid modeling; Spraying; Trajectory;
Conference_Titel :
Advanced Robotics, 2005. ICAR '05. Proceedings., 12th International Conference on
Conference_Location :
Seattle, WA
Print_ISBN :
0-7803-9178-0
DOI :
10.1109/ICAR.2005.1507407
