Optimization of Stamping Process Parameters for Sustainable Manufacturing: Numerical Simulation Based on AutoForm

作者：Huiju Zhang, Wenbo Wei, Sifang Long, Manyi Zhou, Chunhui Li · 发表于：Sustainability · 年份：2025 · DOI：10.3390/su17010341 · 被引用次数：9 · 研究领域：Metal Forming Simulation Techniques、Advanced Machining and Optimization Techniques、Metallurgy and Material Forming

To address the increasing demand for sustainable manufacturing in the automotive industry, this study focuses on the optimization of stamping process parameters for heavy truck seat reinforcement plates. Finite element analysis software and AutoForm R7 were utilized to develop a numerical simulation model for the stamping process, aiming to enhance material utilization and reduce waste. The research aimed to predict forming defects and explore the effects of blank holder force, friction coefficient, and drawbead resistance coefficient on springback, wrinkles, and strain, with an emphasis on improving production efficiency and minimizing resource consumption. The forming quality was optimized through adjustments in blank holder force, friction coefficient, and drawbead resistance coefficient, demonstrating the potential for eco-friendly manufacturing. Multi-objective optimization was performed to identify the optimal parameter combination, achieving sustainable outcomes with improved forming precision and reduced material waste. Results revealed that the optimal parameter combination (A4B4C2) included a blank holder force of 500 kN, a friction coefficient of 0.18, and a drawbead resistance coefficient of 0.25. These settings minimized material thinning (11.6%), excessive thickening (7.4%), and springback (0.905 mm), aligning with sustainable production standards.