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<p>Austenitic stainless steels, specifically SS316, are increasingly used in industrial applications, including aerospace components, medical devices, and the marine and petrochemical industries. However, the hardness of austenitic stainless steels is reported to be low and have poor wear resistance. To address such challenges, this work examines the statistical analysis of tribological performance of a graphene-based tungsten carbide coating deposited on SS316 via the high-velocity oxy-fuel (HVOF) process. The WC-10Co-4Cr matrix is reinforced with 2 wt.% of multilayer graphene (MLG). Microstructural studies showed that the reinforcement particles are well dispersed in the matrix. Wear and friction tests were performed using a pin-on-disk tester, with Taguchi’s L9 orthogonal array, while varying the process parameters of applied load, sliding velocity, and sliding distance. The behavior of coating wear has been analyzed for different sliding distances (1000, 1500, and 2000&#xa0;m), loads (10, 20, and 30&#xa0;N), and sliding speeds (0.5, 1, and 1.5&#xa0;m/s). Analysis of variance (ANOVA) was carried out to predict how various parameters and their interactions would influence the performance of coating. ANOVA revealed that load and sliding speed were the most significant parameters influencing wear rate, accounting for 43.02 and 46.96%, respectively, whereas load had the greatest influence (74.28%) on COF. The incorporation of MLG notably reduced both the wear rate and friction coefficient, indicating its self-lubricating behavior.</p>

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Parametric Analysis of Tribological Properties of Tungsten Carbide/Multilayer Graphene Hybrid Composite Coating Fabricated Using High-Velocity Oxy-Fuel

  • 期刊论文

  • 发表日期：

    2026年4月27日

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  • Shivani Jha,
  • R. S. Mishra,
  • Samsher

摘要

Austenitic stainless steels, specifically SS316, are increasingly used in industrial applications, including aerospace components, medical devices, and the marine and petrochemical industries. However, the hardness of austenitic stainless steels is reported to be low and have poor wear resistance. To address such challenges, this work examines the statistical analysis of tribological performance of a graphene-based tungsten carbide coating deposited on SS316 via the high-velocity oxy-fuel (HVOF) process. The WC-10Co-4Cr matrix is reinforced with 2 wt.% of multilayer graphene (MLG). Microstructural studies showed that the reinforcement particles are well dispersed in the matrix. Wear and friction tests were performed using a pin-on-disk tester, with Taguchi’s L9 orthogonal array, while varying the process parameters of applied load, sliding velocity, and sliding distance. The behavior of coating wear has been analyzed for different sliding distances (1000, 1500, and 2000 m), loads (10, 20, and 30 N), and sliding speeds (0.5, 1, and 1.5 m/s). Analysis of variance (ANOVA) was carried out to predict how various parameters and their interactions would influence the performance of coating. ANOVA revealed that load and sliding speed were the most significant parameters influencing wear rate, accounting for 43.02 and 46.96%, respectively, whereas load had the greatest influence (74.28%) on COF. The incorporation of MLG notably reduced both the wear rate and friction coefficient, indicating its self-lubricating behavior.