DocumentCode :
2083064
Title :
Application of genetic algorithm in rapid prototyping
Author :
Zhao, Jibin ; Xia, Renbo ; Liu, Weijun ; Xu, Jinting
Author_Institution :
Shenyang Inst. of Autom., Chinese Acad. of Sci., Shenyang, China
Volume :
1
fYear :
2008
fDate :
17-19 Nov. 2008
Firstpage :
481
Lastpage :
485
Abstract :
Part-building orientation (PBO) and scanning direction of path planning (SDPP) are two tasks of process plan in rapid prototyping technology (RPT). Through investigating the geometric issues of STL model and process planning of RPT. This paper establishes optimizing model based on the considerations of staircase effect, support area and production time. And then, through analyzing the hatching characteristic of polygonal contours, approximately optimization model of direction of scanning vectors is established. The best part-building orientation is obtained by solving the general satisfactory degree function employing genetic algorithm and the optimal scanning direction is also solved by genetic algorithm. Two cases of experiment show that GA can effectively solve not only the determination problem of part-building orientation but also the optimization problem of scanning direction in RP.
Keywords :
genetic algorithms; path planning; process planning; rapid prototyping (industrial); genetic algorithm; part-building orientation; path planning; polygonal contours; production time; rapid prototyping; scanning direction; staircase effect; support area; Costs; Genetic algorithms; Geometry; Intelligent systems; Knowledge engineering; Path planning; Process planning; Production; Prototypes; Solid modeling;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent System and Knowledge Engineering, 2008. ISKE 2008. 3rd International Conference on
Conference_Location :
Xiamen
Print_ISBN :
978-1-4244-2196-1
Electronic_ISBN :
978-1-4244-2197-8
Type :
conf
DOI :
10.1109/ISKE.2008.4730979
Filename :
4730979
Link To Document :
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