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Utilizing ABAQUS simulations and finite element analysis, this research aims to refine sheet metal deep drawing by reducing costs and improving product quality. The study incorporates the TAGUCHI method for iteration and defect prediction, while ANOVA evaluates the effect of process parameters on outcomes. Emphasis is placed on the mechanical behavior of SUS304 stainless steel in simulations to optimize tool design and process parameters. The Forming Limit Diagram and statistical analysis via Taguchi and ANOVA highlight the importance of parameters like die fillet radius in preventing defects. Ultimately, the research achieves a systematic enhancement of the deep drawing process, resulting in high-precision, low-error manufacturing.

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A Study Using Advanced Simulation Techniques and Statistical Analysis for Enhanced Precision of Cylinder Cup in Sheet Metal Deep Drawing Processes

  • 会议论文

  • 发表日期：

    2025年

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  • Tran Dinh Van,
  • Nguyen Anh Khoa,
  • Nguyen Duc Toan,
  • Hoang Minh Vu

摘要

Utilizing ABAQUS simulations and finite element analysis, this research aims to refine sheet metal deep drawing by reducing costs and improving product quality. The study incorporates the TAGUCHI method for iteration and defect prediction, while ANOVA evaluates the effect of process parameters on outcomes. Emphasis is placed on the mechanical behavior of SUS304 stainless steel in simulations to optimize tool design and process parameters. The Forming Limit Diagram and statistical analysis via Taguchi and ANOVA highlight the importance of parameters like die fillet radius in preventing defects. Ultimately, the research achieves a systematic enhancement of the deep drawing process, resulting in high-precision, low-error manufacturing.