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Springback compensation for multi-curvature part based on multi-objective optimization of fuzzy genetic algorithm

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2 Author(s)
Wenjuan Liu ; Dept. of Comput. Sci., Zhaoqing Univ., Zhaoqing, China ; Zhiyong Liang

Springback for multi-curvature part is a very important factor influencing the quality of sheet metal forming. Accurate calculation and controlling of springback are essential for the design of tools for sheet metal forming. In this paper, a springback quick compensation model is proposed to solve the problem of springback, which is based on fuzzy optimization improved GA-ANN algorithm and sheet metal forming springback experiment of multi-curvature part. The springback test results indicate that the springback compensation and analysis based on fuzzy optimization GA-ANN model are practical and reasonable. Springback calculation results with some precision can be achieved. It can be taken as a reference for sheet metal forming tool design and controlling of springback.

Published in:
Control and Decision Conference, 2009. CCDC '09. Chinese

Date of Conference: 17-19 June 2009

Page(s):
3659 - 3664
E-ISBN :
978-1-4244-2723-9
Print ISBN:
978-1-4244-2722-2
INSPEC Accession Number:
10825486
Conference Location :
Guilin
Digital Object Identifier :
10.1109/CCDC.2009.5192370
Product Type:
Conference Publications

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