DocumentCode :
3373936
Title :
Research on application of NC program optimization based on TSP
Author :
Li, Xueguang ; Zhang, Shuren ; Song, Linsen ; Miao, Liqin ; Liu, Dahui
Author_Institution :
Coll. of Mech. & Electr. Eng., Changchun Univ. of Sci. & Technol., Changchun, China
fYear :
2009
fDate :
9-12 Aug. 2009
Firstpage :
1493
Lastpage :
1498
Abstract :
Applies TSP (Traveling Salesman Problem) and solving algorithm to hole swarm NC programming, it could optimize tool path, reduce cutting time. According to points coordinates, the distance between points could be computed, take the link lines and distance between points as factors, the TSP model could be established. Applies backtracking algorithm and genetic algorithm to solve this model, the shortest path length that pass through all points could be ascertained, NC program could be made rapidly through software based on the algorithm, in CAD/CAM system, combined with this method, to some parts and products composed of large numbers of holes characteristic, the optimization of tool path and rapid making of NC program could be accomplished and the manufacturing efficiency could be improved.
Keywords :
CAD/CAM; genetic algorithms; numerical control; travelling salesman problems; CAD/CAM system; backtracking algorithm; genetic algorithm; hole swarm NC program optimization; traveiing salesman problem; CADCAM; Cities and towns; Computer aided manufacturing; Cost function; Design automation; Design optimization; Mathematical model; Mathematics; Optimization methods; Virtual manufacturing; CAD/CAM; Traveling Salesman Problem(TSP); backtracking algorithm; genetic algorithm(GA); optimization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Mechatronics and Automation, 2009. ICMA 2009. International Conference on
Conference_Location :
Changchun
Print_ISBN :
978-1-4244-2692-8
Electronic_ISBN :
978-1-4244-2693-5
Type :
conf
DOI :
10.1109/ICMA.2009.5246740
Filename :
5246740
Link To Document :
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