NDLI: Ant Colony Optimization for Tool Path Integration in Spray Forming Processes

Content Provider	IEEE Xplore Digital Library
Author	Tewolde, G.S. Weihua Sheng
Copyright Year	2006
Description	Author affiliation: Dept. of Electr. & Comput. Eng., Kettering Univ., Flint, MI (Tewolde, G.S.)
Abstract	Spray forming is a new manufacturing process. The automated tool planning for this process is a challenging problem, especially for geometry-complicated parts consisting of multiple freeform surfaces. We have developed a tool path planning system which can automatically generate tool plans. This paper discusses the path integration problem, i.e, how to connect the paths from different surface patches so that the overall path length is minimized. An ant colony optimization (ACO)-based path integration algorithm is developed to solve this problem. Experimental tests are carried out on sample data as well as real world automotive body parts. The results proved to he better (by up to 10%) compared with those of a genetic algorithm (GA)-based solution we developed before
Starting Page	2394
Ending Page	2399
File Size	7327408
Page Count	6
File Format	PDF
ISBN	1424402581
DOI	10.1109/IROS.2006.281678
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-10-09
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Ant colony optimization Spraying Path planning Glass Manufacturing processes Genetic algorithms Painting Paints Intelligent robots Computer aided manufacturing Genetic Algorithm Spray Forming Tool path Planning Ant Colony Optimization
Content Type	Text
Resource Type	Article

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