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Two new optimization methods, “Best-Mean-Random (BMR)” and “Best-Worst-Random (BWR),” are proposed for the fused deposition modeling (FDM) parameters optimization. Three FDM case studies are examined to reduce sliding wear, increase the part’s compressive strength, and optimize a comprehensive response. Comparisons are made between the outcomes of the proposed methods and other optimization techniques reported in the literature. The outcomes demonstrated the powerfulness of the proposed methods for choosing the optimal FDM process parameters.

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Fused Deposition Modeling Process Optimization Using Two Simple Advanced Methods

  • 会议论文

  • 发表日期：

    2026年

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  • Ravipudi Venkata Rao,
  • Jungi Naman Kishorbhai

摘要

Two new optimization methods, “Best-Mean-Random (BMR)” and “Best-Worst-Random (BWR),” are proposed for the fused deposition modeling (FDM) parameters optimization. Three FDM case studies are examined to reduce sliding wear, increase the part’s compressive strength, and optimize a comprehensive response. Comparisons are made between the outcomes of the proposed methods and other optimization techniques reported in the literature. The outcomes demonstrated the powerfulness of the proposed methods for choosing the optimal FDM process parameters.