Influence and Optimization Analysis of Servo Stroke Curve Design on Adhesive Wear in Deep Drawing of Tantalum

Abstract

The degree of wear on a material’s surface after deep drawing has a great influence on the performance and quality of the product; in particular, tantalum plates are prone to adhesive wear during deep drawing. In this paper, we propose a method to improve the surface quality of deep drawing products by optimizing the servo pulse stroke curve to solve the above problems. At the same time, in order to explore the influence of curve parameters on the adhesive wear of tantalum sheets in deep drawing, nine drawing stroke pulse curves are designed, with three levels and four factors. The finite element method is used to analyze the wear depth change of dies and products after drawing with different curve modes. It is found that the wear results obtained under the different curves differ greatly. Considering the actual production efficiency and production quality, the drawing time and the maximum wear depth are taken as optimization objectives. An analysis of variance is carried out using the Minitab software, considering the maximum wear depth and deep drawing time of the product in the finite element analysis results, and the best parameter combination is obtained for each quality characteristic. Then, the optimal drawing stroke curve is obtained using Taguchi grey relational analysis, with its grey relational grade being the highest among all curves. Finally, the optimal curve is compared against a traditional curve on a servo press. The results show that the surface quality of the product and the drawing efficiency can be improved by the use of the optimized mode; in particular, compared with traditional drawing, the maximum wear depth is reduced by 56.67% and the drawing time is reduced by 18.06%.