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This paper presents a study on Multi-Criteria Decision-Making (MCDM) in cylindrical external grinding of SKD11 tool steel. The objective is to determine the optimal input process parameters for the dressing process, with the aim of minimizing surface roughness (SR) and maximizing wheel life (Tw). The MAIRCA methodology was utilized to address the MCDM challenge, while the Entropy method was employed to determine the criterion weights. The experiment also included an examination of six input process parameters: dressing feed rate, non-feeding dressing, coarse dressing depth, coarse dressing passes, and fine dressing depth. The experiment was designed using an L16 orthogonal array and the Taguchi method. The Tw and surface roughness of the specimens were quantified and submitted into the MCDM issue. The results of the research have proposed the optimal dressing option for external cylindrical grinding.

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Determination of Best Dressing Parameters for External Grinding SKD11 Tool Steel Using MAIRCA Method

  • 会议论文

  • 发表日期：

    2025年

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  • Tran Quoc Hung,
  • Hoang Xuan Tu,
  • Vu Duc Binh,
  • BuiThanh Hien

摘要

This paper presents a study on Multi-Criteria Decision-Making (MCDM) in cylindrical external grinding of SKD11 tool steel. The objective is to determine the optimal input process parameters for the dressing process, with the aim of minimizing surface roughness (SR) and maximizing wheel life (Tw). The MAIRCA methodology was utilized to address the MCDM challenge, while the Entropy method was employed to determine the criterion weights. The experiment also included an examination of six input process parameters: dressing feed rate, non-feeding dressing, coarse dressing depth, coarse dressing passes, and fine dressing depth. The experiment was designed using an L16 orthogonal array and the Taguchi method. The Tw and surface roughness of the specimens were quantified and submitted into the MCDM issue. The results of the research have proposed the optimal dressing option for external cylindrical grinding.