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CSME 2024/05
Volume 45 No.2
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129-143
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Design of Drawing Die for Rear Wheel Cover Outer Panel and Optimization of Wear Process Parameters
Guoqing Gonga, Youmin Wanga and Kefan Yanga
aSchool of Mechanical Engineering, Anhui Polytechnic University, Wuhu, Anhui 241000, China.
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Abstract:
Aiming at the problem of the wear caused by the mutual movement between the convex die and the sheet material in the stamping process, which results in a decrease in the die service life. In the paper, the three-dimensional design of the drawing die for the outer plate of the rear wheel cover was carried out by using UG, the simulation of the die stamping process was carried out by using Deform-3D, the main wear positions of the die were determined, the four process parameters of die clearance, friction coefficient, stamping speed and die hardness were selected as the test factors, the amount of die wear was used as the evaluation index to establish an orthogonal test, the multiple linear regression analysis of the test results was carried out by using SPSS software, and the empirical formula for the surface wear of the drawing die was established. Finally, the BP neural network model between process parameters and wear amount was constructed using MATLAB. The weights and thresholds of the nodes in the implicit layer of the model were optimized by using the whale algorithm to obtain the optimal combination of process parameters with minimum wear amount predicted based on the optimized WOA-BP neural network model. The minimum wear amount of the optimized convex die was 1.02 × 10−6 mm. The optimal combination of process parameters was friction coefficient 0.12, stamping speed 22mm/s, die hardness 62HRC, and die clearance 0.88mm, which completes the design of the automotive rear wheel cover outer plate drawing die optimizes and its surface wear process parameters.
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Keywords: die wear; drawing die, process parameter optimization, whale algorithm
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*Corresponding author; e-mail:
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©
2024
CSME , ISSN 0257-9731
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