DocumentCode :
2831213
Title :
Evaluation of Cylindricity Error Based on an Improved GA with Uniform Initial Population
Author :
Lin Hu ; Peng Yong
Author_Institution :
Shenyang Inst. of Comput. Technol., Chinese Acad. of Sci., Shenyang, China
fYear :
2009
fDate :
11-12 July 2009
Firstpage :
311
Lastpage :
314
Abstract :
Cylindrical feature has become one of the most important features in mechanical designs. This paper presents the mathematical definition of cylindricity tolerance and mathematical model for cylindricity error evaluation. An intelligent evaluation method is provided for the evaluation of cylindricity error in this paper and the innovation can be stated as follows. Firstly, instead of considering partial components of the directional vector only, this algorithm proposed takes all the components of directional vector of the axis of cylinder into consideration. Secondly, for making the genetic algorithm converge fast, an improved genetic algorithm with uniform initial population was proposed to find the optimization of the error of cylindricity. The proposed algorithm is efficient and easy to code, and the experiment results indicate its effectiveness.
Keywords :
design engineering; genetic algorithms; manufactured products; mechanical engineering; shapes (structures); cylindricity error evaluation; cylindricity tolerance; genetic algorithm; high-precision manufacturing; intelligent evaluation method; manufactured components; mathematical definition; mechanical designs; uniform initial population; Automatic control; Automation; Computers; Control systems; Engine cylinders; Error correction; Genetic algorithms; Manufacturing; Mathematical model; Uncertainty; Cylindricity error evaluation; genetic algorithm; good point; minmum zone cylinder;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control, Automation and Systems Engineering, 2009. CASE 2009. IITA International Conference on
Conference_Location :
Zhangjiajie
Print_ISBN :
978-0-7695-3728-3
Type :
conf
DOI :
10.1109/CASE.2009.62
Filename :
5194453
Link To Document :
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