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<p>Aluminium matrix composites (AMCs) are widely used across a variety of sectors, including electronics, automobiles, aircraft, and offshore, due to their outstanding mechanical properties, including high strength, low weight, and corrosion resistance. However, applications that require high tribological efficiency are challenged by their low wear resistance. The investigation of the statistical approach to the wear properties of 413/B<sub>4</sub>C composites is presented. Three, six, and nine percent B<sub>4</sub>C-reinforced AMCs were prepared by stir casting. The wear was examined in multiple environments of Sliding Speed, S (1&#xa0;m/s, 1.5&#xa0;m/s, and 2&#xa0;m/s), Sliding Distance, D (500&#xa0;m, 1000&#xa0;m, and 1500&#xa0;m), applied load, L (15 N, 30 N, and 45 N), and reinforcement %, R (3, 6 and 9%). The L<sub>27</sub> Orthogonal array (OA) was chosen to assess responses such as SWR &amp; COF, and Taguchi’s approach was implemented to optimise the wear factors. Further, by selecting the "smaller is better" feature, analysis of variance (ANOVA) was used to analyse the impact of input factors on wear performance. According to this investigation, the most appropriate SWR values are S−1&#xa0;m/s, D−1000&#xa0;m, L−45 N, and R%−9 wt. % B<sub>4</sub>C and the optimal values of COF are S−2&#xa0;m/s, D−500&#xa0;m, L−15 N, and R%−3 wt% B<sub>4</sub>C. Applications that demand high wear resistance and low friction can benefit from the optimised performance characteristics of premixed reinforcement composite materials.</p>

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Analysis on wear parameters of boron carbide embedded aluminium matrix composites (413/B4C) using Taguchi technique

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2026年6月25日

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  • C. Sarala Rubi,
  • J. Udaya Prakash,
  • S. Jebarose Juliyana,
  • Lenka Cepova,
  • Ondrej Mizera,
  • Ravi Prakash Singh,
  • Sachin Salunkhe,
  • Emad Abouel Nasr

摘要

Aluminium matrix composites (AMCs) are widely used across a variety of sectors, including electronics, automobiles, aircraft, and offshore, due to their outstanding mechanical properties, including high strength, low weight, and corrosion resistance. However, applications that require high tribological efficiency are challenged by their low wear resistance. The investigation of the statistical approach to the wear properties of 413/B4C composites is presented. Three, six, and nine percent B4C-reinforced AMCs were prepared by stir casting. The wear was examined in multiple environments of Sliding Speed, S (1 m/s, 1.5 m/s, and 2 m/s), Sliding Distance, D (500 m, 1000 m, and 1500 m), applied load, L (15 N, 30 N, and 45 N), and reinforcement %, R (3, 6 and 9%). The L27 Orthogonal array (OA) was chosen to assess responses such as SWR & COF, and Taguchi’s approach was implemented to optimise the wear factors. Further, by selecting the "smaller is better" feature, analysis of variance (ANOVA) was used to analyse the impact of input factors on wear performance. According to this investigation, the most appropriate SWR values are S−1 m/s, D−1000 m, L−45 N, and R%−9 wt. % B4C and the optimal values of COF are S−2 m/s, D−500 m, L−15 N, and R%−3 wt% B4C. Applications that demand high wear resistance and low friction can benefit from the optimised performance characteristics of premixed reinforcement composite materials.