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<p>Current study tries to investigate the effect of incorporation of varying wt.% (0–2%) of Si<sub>3</sub>N<sub>4</sub> nanoparticles in LM6 alloy and addresses the technical gap of selecting optimal parametric condition on drilling characteristics. Novelty of the work lies over the systematic conventional drilling study on newly developed nano-composites having superior mechanical properties but posing machinability challenges. LM6-Si<sub>3</sub>N<sub>4</sub> nano-composites are synthesized through ultrasonic stir casting (USC) method. Basic characterization is carried out by scanning electron microscope (SEM) and energy-dispersive X-ray analysis (EDAX). SEM micrographs disclose uniform dispersion, while EDAX spectra justify the incorporation of the nano-sized Si<sub>3</sub>N<sub>4</sub> particles. Around 38% improvement in microhardness is observed for LM6-2Si<sub>3</sub>N<sub>4</sub>. Taguchi-based orthogonal array (OA) is employed to evaluate the effect of different drilling parameters (drill bit point angle, feed rate and spindle speed). Analysis of variance (ANOVA) is performed to obtain significant parameters, and confirmation test is conducted to scrutinize the adequacy of developed models. Optimum parametric conditions for cylindricity, circularity and surface roughness are observed as Wt%3Angle2Feed3Speed1, Wt%3Angle2Feed3Speed1 and Wt%3Angle1Feed3Speed3, respectively. Confirmation tests show improvement of S/N ratios as 28.72%, 21.18% and 23.33% with corresponding <i>R</i><sup>2</sup> values of 96.44%, 97.44% and 99.14%, respectively, and validates the developed statistical models. Additionally, grey relational analysis (GRA) is used to solve this multi-criteria optimization problem. GRA observes the optimal condition as Wt%3Angle1Feed3Speed1 and results in the improvement of S/N ratio around 38.95% with <i>R</i><sup>2</sup> value of 98.67%. Moreover, the industry–academia relevant outcomes can offer upgraded assistance by directing the process towards superior quality and enhanced productivity.</p>

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Experimental Investigation on Drilling Characteristics of LM6- Si3N4 Nano-Composite Using Taguchi Technique and Grey Relational Analysis

  • 期刊论文

  • 发表日期：

    2025年9月1日

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  • Debojit Roy,
  • Ranjan Basak,
  • Joyjeet Ghose,
  • Sudip Banerjee

摘要

Current study tries to investigate the effect of incorporation of varying wt.% (0–2%) of Si3N4 nanoparticles in LM6 alloy and addresses the technical gap of selecting optimal parametric condition on drilling characteristics. Novelty of the work lies over the systematic conventional drilling study on newly developed nano-composites having superior mechanical properties but posing machinability challenges. LM6-Si3N4 nano-composites are synthesized through ultrasonic stir casting (USC) method. Basic characterization is carried out by scanning electron microscope (SEM) and energy-dispersive X-ray analysis (EDAX). SEM micrographs disclose uniform dispersion, while EDAX spectra justify the incorporation of the nano-sized Si3N4 particles. Around 38% improvement in microhardness is observed for LM6-2Si3N4. Taguchi-based orthogonal array (OA) is employed to evaluate the effect of different drilling parameters (drill bit point angle, feed rate and spindle speed). Analysis of variance (ANOVA) is performed to obtain significant parameters, and confirmation test is conducted to scrutinize the adequacy of developed models. Optimum parametric conditions for cylindricity, circularity and surface roughness are observed as Wt%3Angle2Feed3Speed1, Wt%3Angle2Feed3Speed1 and Wt%3Angle1Feed3Speed3, respectively. Confirmation tests show improvement of S/N ratios as 28.72%, 21.18% and 23.33% with corresponding R2 values of 96.44%, 97.44% and 99.14%, respectively, and validates the developed statistical models. Additionally, grey relational analysis (GRA) is used to solve this multi-criteria optimization problem. GRA observes the optimal condition as Wt%3Angle1Feed3Speed1 and results in the improvement of S/N ratio around 38.95% with R2 value of 98.67%. Moreover, the industry–academia relevant outcomes can offer upgraded assistance by directing the process towards superior quality and enhanced productivity.