Abstract

Cold forming is a manufacturing process widely used in industries for shaping metal parts at room temperature. The efficiency of cold forming processes heavily relies on the design and optimization of the tools involved. This case study presents an application of geometrical-based optimization techniques to enhance the design of a common tool used in cold forming processes. By employing advanced computational modeling and simulation, the study aims to improve the performance and durability of the tool while minimizing material waste and production costs. The methodology involves geometric parameterization, finite element analysis, and multi-objective optimization algorithms. The results demonstrate significant enhancements in tool performance, leading to increased productivity and cost-effectiveness in cold forming operations.