NDLI: Multi-objective optimization of sheet metal forming die using FEA coupled with RSM

Content Provider	Springer Nature Link
Author	Kahhal, Parviz Brooghani, Seyed Yousef Ahmadi Azodi, Hamed Deilami
Copyright Year	2013
Abstract	Present study describes the approach of applying response surface methodology (RSM) with a Pareto-based multi-objective genetic algorithm to assist engineers in optimization of sheet metal forming. In many studies, finite element analysis and optimization technique have been integrated to solve the optimal process parameters of sheet metal forming by transforming multi objective problem into a single-objective problem. This paper aims to minimize objective functions of fracture and wrinkle simultaneously. Design variables are blank-holding force and draw-bead geometry (length and diameter). Response surface model has been used for design of experiment and finding relationship between variables and objective functions. Forming limit diagram (FLD) has been used to define objective functions. Finite element analysis applied for simulating the process. Proposed approach has been investigated on a cross-shaped cup drawing case and it has been observed that it is more effective and accurate than traditional finite element analysis method and the ‘trial and error’ procedure.
Starting Page	3835
Ending Page	3842
Page Count	8
File Format	PDF
ISSN	1738494X
Journal	Journal of Mechanical Science and Technology
Volume Number	27
Issue Number	12
e-ISSN	19763824
Language	English
Publisher	Springer Netherlands
Publisher Date	2013-12-28
Publisher Place	Dordrecht
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Multi-objective optimization Sheet metal forming Response surface model Pareto front Genetic algorithm Forming limit diagram Mechanical Engineering Vibration, Dynamical Systems, Control Industrial and Production Engineering
Content Type	Text
Resource Type	Article
Subject	Mechanics of Materials Mechanical Engineering

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