DocumentCode :
509183
Title :
Intelligent Optimization Analysis of Residual Strain for Photosensitive Resin
Author :
Chunling, Meng ; Fu, Zhao ; Yanjue, Gong ; Li, Zhang ; Huiyu, Xiang
Author_Institution :
Coll. of Mech. Eng., Beijing Technol. & Bus. Univ., Beijing, China
Volume :
1
fYear :
2009
fDate :
21-22 Nov. 2009
Firstpage :
553
Lastpage :
556
Abstract :
In this article, an intelligent optimization analysis method of residual strain for photosensitive resin is put forward based on the finite element analysis. With the methods of orthogonal experiment and radial basis Neural Network, the relationship of the residual strain and solidification technology parameters, such as circumstance temperature, illumination distance and illumination time, is established. A group of reasonable technology parameters is determined by Genetic Algorithm optimization, which can make the residual strain reach its minimum value.
Keywords :
finite element analysis; genetic algorithms; internal stresses; mechanical engineering computing; neural nets; resins; solidification; finite element analysis; genetic algorithm optimization; intelligent optimization analysis; orthogonal experiment; photosensitive resin; radial basis Neural Network; residual strain; solidification technology; Artificial intelligence; Artificial neural networks; Capacitive sensors; Genetic algorithms; Information analysis; Intelligent networks; Neural networks; Optimization methods; Resins; Vectors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Information Technology Application, 2009. IITA 2009. Third International Symposium on
Conference_Location :
Nanchang
Print_ISBN :
978-0-7695-3859-4
Type :
conf
DOI :
10.1109/IITA.2009.389
Filename :
5369620
Link To Document :
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