Numerical simulation and optimization of fine-blanking process for copper alloy sheet

• Published in: International journal of advanced manufacturing technology Vol. 119; no. 1-2; pp. 1283 - 1300
• Main Authors: Kuo, Chun-Chih, Liu, Kuo-Wang, Li, Tse-Chang, Wu, Dai-You, Lin, Bor-Tsuen
• Format: Journal Article
• Language: English
• Published: London Springer London 01.03.2022; Springer Nature B.V
• Subjects: Application; Blankholders; Blanking dies; CAE) and Design; Central processing units; Computer simulation; Computer-Aided Engineering (CAD; Copper base alloys; CPUs; Engineering; Fine blanking; Finite element method; Industrial and Production Engineering; Mechanical Engineering; Media Management; Metal sheets; Multiple criterion; Orthogonal arrays; Pareto optimization; Process parameters; Robustness (mathematics); Simulation; Fine-blanking; Multicriteria optimization; Finite element analysis; Pareto-optimal
• ISSN: 0268-3768; 1433-3015
• DOI: 10.1007/s00170-021-08225-6

When the fine-blanking process is used, secondary grinding or processing can be omitted because the shear surface of fine-blanking parts can achieve almost zero fracture zone requirements. The primary objective of the fine-blanking process is to reduce the fracture zone depth and die roll zone width. This study used a 2.5-mm-thick central processing unit (CPU) thermal heat spreader as an example. Finite element analysis software was employed to simulate and optimize the main eight process parameters that affect the fracture zone depth and die roll zone width after fine-blanking: the V-ring shape angle, V-ring height of the blank holder, V-ring height of the cavity, V-ring position, blank holder force, counter punch force, die clearance, and blanking velocity. Simulation analysis was conducted using the L 18 (2 1 × 3 7 ) Taguchi orthogonal array experimental combination. The simulation results of the fracture zone depth and die roll zone width were optimized and analyzed as quality objectives using Taguchi’s smaller-the-better design. The analysis results revealed that with fracture zone depth as the quality objective, 0.164 mm was the optimal value, and counter punch force made the largest contribution of 25.89%. In addition, with die roll zone width as the quality objective, the optimal value was 1.274 mm, and V-ring height of the cavity made the largest contribution of 29.45%. Subsequently, this study selected fracture zone depth and die roll zone width as multicriteria quality objectives and used the robust multicriteria optimal approach and Pareto-optimal solutions to perform multicriteria optimization analysis. The results met the industry’s fraction zone depth standard (below 12% of blank thickness) and achieved a smaller die roll zone width.