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