INVESTIGATION OF DRAWING BEAD PARAMETERS AND MULTI OBJECTIVE OPTIMIZATION IN DEEP DRAWING PROCESS

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KAHHAL P.; AHMADI BROUGHANI S.Y.; DEILAMI AZODI H.

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Journal: Journal of Aerospace Mechanics Year:2017 | Volume:13 | Issue:3 (49) Page(s): 21-31

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Information Journal Paper

Title

INVESTIGATION OF DRAWING BEAD PARAMETERS AND MULTI OBJECTIVE OPTIMIZATION IN DEEP DRAWING PROCESS

Author(s)

KAHHAL P. | AHMADI BROUGHANI S.Y. | DEILAMI AZODI H. | Issue Writer Certificate

Keywords

MULTI-OBJECTIVE OPTIMIZATIONQ1

DEEP DRAWING PROCESSQ2

RESPONSE SURFACE MODELQ1

GENETIC ALGORITHMQ2

FORMING LIMIT CURVEQ2

Abstract

Present study describes approach of applying RSM with a Pareto-based multi-objective GA to optimize the DEEP DRAWING PROCESS. Previous studies, integrated the FEA and optimization technique to find the optimal parameters by transforming multi objective-problem into a single-objective problem. This paper aims to minimize the functions of fracture and wrinkle. Design variables are blank-holding-force and draw-beads geometry. RSM has been used for design of experiment and finding relationships between variables and functions. Proposed approach has been investigated on a fuel-tank drawing part and it has been observed that it is more effective and accurate than traditional ‘trial and error’ procedure.

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APA: Copy

KAHHAL, P., AHMADI BROUGHANI, S.Y., & DEILAMI AZODI, H.. (2017). INVESTIGATION OF DRAWING BEAD PARAMETERS AND MULTI OBJECTIVE OPTIMIZATION IN DEEP DRAWING PROCESS. AEROSPACE MECHANICS JOURNAL, 13(3 (49)), 21-31. SID. https://sid.ir/paper/101924/en

Vancouver: Copy

KAHHAL P., AHMADI BROUGHANI S.Y., DEILAMI AZODI H.. INVESTIGATION OF DRAWING BEAD PARAMETERS AND MULTI OBJECTIVE OPTIMIZATION IN DEEP DRAWING PROCESS. AEROSPACE MECHANICS JOURNAL[Internet]. 2017;13(3 (49)):21-31. Available from: https://sid.ir/paper/101924/en

IEEE: Copy

P. KAHHAL, S.Y. AHMADI BROUGHANI, and H. DEILAMI AZODI, “INVESTIGATION OF DRAWING BEAD PARAMETERS AND MULTI OBJECTIVE OPTIMIZATION IN DEEP DRAWING PROCESS,” AEROSPACE MECHANICS JOURNAL, vol. 13, no. 3 (49), pp. 21–31, 2017, [Online]. Available: https://sid.ir/paper/101924/en

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