NDLI: Parameters optimization on dent around fuel filler of auto rear fender based on intelligent algorithm

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Parameters optimization on dent around fuel filler of auto rear fender based on intelligent algorithm

Content Provider	ACM Digital Library
Author	Cao, Ying Chen, Shuisheng Guan, Huajun Lin, Jianping
Abstract	Dent is one of crucial surface defects in sheet metal forming. To improve the cosmetic surface qualities, it is important to optimize the process parameters to avoid dent defects in forming parts and to minimize production cost. The relationships between defects magnitude and forming parameters like die radius, punch radius, fuel filler radius, blank holder force (BHF) and friction coefficient can be established through finite element analysis (FEA). A reduced set of finite element simulations are carried out as per the orthogonal design array. Take the depth ³z and the width L of the surface dent as optimization objectives, an optimization methodology based on the use of orthogonal design method and the response surface technique based on Feedforward Neural Networks (FNN) is proposed to obtain the optimum values of above forming parameters, which can reduce the dent without cracking and damage of product, and ³z and L is gained depending on the optimized parameters by FEA. The optimization results of parameters are compared with the ones achieved by Trial and Error approach in industry. The result indicates that the proposed method is efficient for surface dents controlling.
Starting Page	321
Ending Page	328
Page Count	8
File Format	PDF
ISBN	9781605583266
DOI	10.1145/1543834.1543878
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2009-06-12
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Dent Finite element simulation Intelligent algorithm Parameters optimization Rsm Orthogonal design experiment
Content Type	Text
Resource Type	Article

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