Research on Process Parameters Optimization of Fine Blanking for Intermediate Washer of Clutch Based on Orthogonal Test

2019 International Conference on Advanced Electronic Materials, Computers and Materials Engineering

无线电电子学;计算机科学;材料科学

Mu, Rui^1 ; Wang, Xiaoli^1 ; Wang, Caihong^2

College of Mechanical and Electrical Engineering, Lianyungang Technical College, Lianyungang, Jiangsu

222006, China^1

Zhejiang King Kong Automobile Limited Company, Taizhou, Zhejiang

318000, China^2

关键词: Blank holder forces;    Evaluation index;    Experimental values;    Fine-blanking process;    Optimal combination;    Process parameters;    Process parameters optimizations;    Variance analysis;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/563/3/032042/pdf
DOI  :  10.1088/1757-899X/563/3/032042

来源: IOP

【 摘 要 】

Intermediate washer of automobile clutch is taken as research object, blanking clearance, radius of corner of punch, blanking speed, blank holder force, counter force and tooth angle of blank holder are selected as influencing factors, length of shear zone is chosen as evaluation index. Orthogonal test with six factors and three levels is established, and Deform-2D is used to simulate fine blanking process of intermediate washer at different combinations of process parameters. Blanking clearance has a significant influence on length of shear zone by variance analysis. The influence sequence of fine blanking process parameters on length of shear zone is blanking clearance, counter force, radius of corner of punch, blank holder force, blanking speed and tooth angle of blank holder. In addition, the optimal combination of process parameters of fine blanking for intermediate washer are as follows: Blanking clearance is 8%t, radius of corner of punch is R0.09 mm, blanking speed is 15 mm•s-1, tooth angle of blank holder is 45°, blank holder force is 450 kN and counter force is 150 kN. The simulation value and experimental value of length of shear zone for optimized scheme are 3.945 mm and 3.438 mm respectively, the relative error between simulation value and experimental value is 12.9%. Therefore, it provides an important reference for the actual production of enterprise.