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<p>The present investigation aimed at producing Mg–Zn/SiC nanocomposites via stir ultrasonication assisted squeeze casting. The process parameters namely ultrasonication processing time (3–12&#xa0;min), weight percent of SiC nanoparticles (0.5–2 wt. %) and squeeze pressure (50–200&#xa0;MPa) were statistically optimized using Taguchi-Grey relational analysis (GRA). From Analysis of variance (ANOVA) results, weight percent of SiC nanoparticles was identified as the most influential parameter, contributing over 96% to the overall grey relational grade. The optimal conditions achieved were ultrasonication time of 12&#xa0;min, squeeze pressure of 200&#xa0;MPa and 2 wt. percent SiC reinforcement. The corresponding predicted values of the responses were ultimate tensile strength of 197&#xa0;MPa, micro hardness of 86.88 HV and grain size of 47.13&#xa0;µm. Statistical analysis showed that an excellent model was obtained with <i>R</i><sup>2</sup> = 0.99, Adjusted <i>R</i><sup>2</sup> = 0.97, Predicted <i>R</i><sup>2</sup> = 0.93, and maximum deviation between predicted and experimental values is ≤ 2.4%. The expected strengthening, hardening and grain refinement effects were achieved which shows the robustness of Taguchi-GRA optimization. Microstructural observations supported these findings by illustrating fine and evenly distributed SiC particles with lower porosity, thereby opening the effectiveness of the hybrid process technique for production of high-performance composites.</p> Graphical Abstract <p></p>

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Optimizing process parameters in stir ultrasonication assisted squeeze casting of Mg–Zn/SiC nanocomposites via statistical Taguchi-grey response design

  • 期刊论文

  • 发表日期：

    2026年1月10日

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  • Parthiban Krishnan,
  • Poovazhagan Lakshmanan,
  • Balaji Elangovan,
  • S. P. Shanmuganatan,
  • M. Madhusudan

摘要

The present investigation aimed at producing Mg–Zn/SiC nanocomposites via stir ultrasonication assisted squeeze casting. The process parameters namely ultrasonication processing time (3–12 min), weight percent of SiC nanoparticles (0.5–2 wt. %) and squeeze pressure (50–200 MPa) were statistically optimized using Taguchi-Grey relational analysis (GRA). From Analysis of variance (ANOVA) results, weight percent of SiC nanoparticles was identified as the most influential parameter, contributing over 96% to the overall grey relational grade. The optimal conditions achieved were ultrasonication time of 12 min, squeeze pressure of 200 MPa and 2 wt. percent SiC reinforcement. The corresponding predicted values of the responses were ultimate tensile strength of 197 MPa, micro hardness of 86.88 HV and grain size of 47.13 µm. Statistical analysis showed that an excellent model was obtained with R2 = 0.99, Adjusted R2 = 0.97, Predicted R2 = 0.93, and maximum deviation between predicted and experimental values is ≤ 2.4%. The expected strengthening, hardening and grain refinement effects were achieved which shows the robustness of Taguchi-GRA optimization. Microstructural observations supported these findings by illustrating fine and evenly distributed SiC particles with lower porosity, thereby opening the effectiveness of the hybrid process technique for production of high-performance composites.

Graphical Abstract