Experimental research on stamping forming numerical simulation of motor cover plate based on DYNAFORM

JIA Xingpeng; GONG Hongying; YOU Jin; LIU Shangbao; WANG Bin

Volume 35 Issue 2

Jun. 2021

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Article Navigation > Journal of Shanghai University of Engineering Science > 2021 > 35(2): 99-106

JIA Xingpeng, GONG Hongying, YOU Jin, LIU Shangbao, WANG Bin. Experimental research on stamping forming numerical simulation of motor cover plate based on DYNAFORM[J]. Journal of Shanghai University of Engineering Science, 2021, 35(2): 99-106.

Citation:

JIA Xingpeng, GONG Hongying, YOU Jin, LIU Shangbao, WANG Bin. Experimental research on stamping forming numerical simulation of motor cover plate based on DYNAFORM[J]. Journal of Shanghai University of Engineering Science, 2021, 35(2): 99-106.

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Experimental research on stamping forming numerical simulation of motor cover plate based on DYNAFORM

1.
School of Materials Engineering, Shanghai University of Engineering Science, Shanghai 201620, China
2.
Engineering Technology Associates, Inc., Shanghai 200030, China

Received Date: 2021-03-12
Available Online: 2021-12-10
Publish Date: 2021-06-30

Abstract

Abstract

The finite element analysis software DYNAFORM was used to stamp forming numerical simulation for a shallow depth and large size motor cover plate. The impacts of main process parameters and drawbead on the drawing quality were studied and the causes of defects were analyzed. Then orthogonal experiment and comprehensive scoring method were used to optimize the process parameters in order to reduce crack, wrinkle and insufficient stretch defects appearing in the process of sheet metal forming. It was found that the drawing quality could be effectively improved through the reasonable arrangement of drawbead and the optimization of process parameters. The optimal process parameter combination was obtained as follows: drawbead resistance coefficient 50%, binder force 600 kN, friction coefficient 0.16, stamping speed 5000 mm/s, die gap 1.1t. The simulation test verified the accuracy and effectiveness of the process parameter combination.
- DYNAFORM software,
- numerical simulation,
- drawbead,
- orthogonal optimization

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References(13)

References

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