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<p>This work aimed optimize friction stir welding (FSW) to improve mechanical characteristics of AZ91/ZrC weldments. Metal matrix composites were fabricated utilizing magnesium alloy AZ91 and zirconium carbide of 10&#xa0;μm size using stir casting procedure. Central composite design (CCD) method were utilized to structure FSW methods. The studies was conducted at a butt joint configuration by altering the tool rotational speed, plunge depth, axial load, and welding transverse speed. The optimal parameters were determined by evaluating microhardness and ultimate tensile strength. The influence of factors at output responses were examined graphically. Two optimization methods, specifically the desirability function and the genetic algorithm approach, were employed to determine ideal values of parameters. The outcomes produced using optimization methods were in strong concordance. The optimal values were corroborated by experimental data.</p>

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Optimization of friction stir welding parameters for AZ91/ZrC magnesium matrix composite weldments using CCD and genetic algorithm

  • 期刊论文

  • 发表日期：

    2026年5月14日

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  • Rohit Srivastava,
  • Aman Kumar,
  • M. Gokilhashree,
  • K. Chandrasekaran,
  • S. Kayathri,
  • S. Aghalya

摘要

This work aimed optimize friction stir welding (FSW) to improve mechanical characteristics of AZ91/ZrC weldments. Metal matrix composites were fabricated utilizing magnesium alloy AZ91 and zirconium carbide of 10 μm size using stir casting procedure. Central composite design (CCD) method were utilized to structure FSW methods. The studies was conducted at a butt joint configuration by altering the tool rotational speed, plunge depth, axial load, and welding transverse speed. The optimal parameters were determined by evaluating microhardness and ultimate tensile strength. The influence of factors at output responses were examined graphically. Two optimization methods, specifically the desirability function and the genetic algorithm approach, were employed to determine ideal values of parameters. The outcomes produced using optimization methods were in strong concordance. The optimal values were corroborated by experimental data.