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<p>The current investigation focused on a robust framework for optimizing and predicting the tribological performance of WC-based thermal spray coatings, enabling enhanced wear resistance and efficiency in industrial applications. This study provides examination of effect on the tribological behaviour of AISI 1020 steel coated by high-velocity oxy-fuel (HVOF) deposition. The temperature, load, sliding time, sliding distance, and sliding velocity in relation to wear depth and friction coefficient are the input characteristics. Using the Definitive Screening Design, experimentation was conducted over the course of 13 experiments. According to a regression model fitted using the Definitive Screening Design, the sliding wear has statistical significance for three major factors and one interaction. The optimization graph showed that the best responses for the input factors HVOF deposition technique, 250 <InlineEquation ID="IEq1"> <EquationSource Format="TEX">\(^\circ{\rm C} \)</EquationSource> <EquationSource Format="MATHML"><math> <mrow> <mmultiscripts> <mrow /> <mrow /> <mo>∘</mo> </mmultiscripts> <mi mathvariant="normal">C</mi> </mrow> </math></EquationSource> </InlineEquation>, sliding time of 75&#xa0;min, load of 10 N, sliding velocity of 0.5&#xa0;m/s, and sliding distance 2474&#xa0;m, and were wear depth as 47&#xa0;µm and 0.25 of friction coefficient, respectively. The analysis based on results reveals that the actual responses and the predictions are consistent. The precision and reliability of the experimental and analytical techniques used in this investigation are demonstrated by the determination of wear depth and friction coefficient errors/deviations as 8.5% and 6.7%, respectively.</p>

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Definitive Screening Design for Statistical Modelling of Tribological Properties in WC-Based Thermal Spray Coatings

  • 期刊论文

  • 发表日期：

    2025年8月20日

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  • Shubhangi Suryawanshi,
  • Digvijay G. Bhosale,
  • Hitesh Vasudev,
  • Mahendra Shelar

摘要

The current investigation focused on a robust framework for optimizing and predicting the tribological performance of WC-based thermal spray coatings, enabling enhanced wear resistance and efficiency in industrial applications. This study provides examination of effect on the tribological behaviour of AISI 1020 steel coated by high-velocity oxy-fuel (HVOF) deposition. The temperature, load, sliding time, sliding distance, and sliding velocity in relation to wear depth and friction coefficient are the input characteristics. Using the Definitive Screening Design, experimentation was conducted over the course of 13 experiments. According to a regression model fitted using the Definitive Screening Design, the sliding wear has statistical significance for three major factors and one interaction. The optimization graph showed that the best responses for the input factors HVOF deposition technique, 250 \(^\circ{\rm C} \) ∘ C , sliding time of 75 min, load of 10 N, sliding velocity of 0.5 m/s, and sliding distance 2474 m, and were wear depth as 47 µm and 0.25 of friction coefficient, respectively. The analysis based on results reveals that the actual responses and the predictions are consistent. The precision and reliability of the experimental and analytical techniques used in this investigation are demonstrated by the determination of wear depth and friction coefficient errors/deviations as 8.5% and 6.7%, respectively.