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<p>This study proposes an entropy-based multi-criteria decision framework applied for the first time to interactively optimize plasma nitriding parameters for hypoid gears manufactured from SAE 5120 steel. The uniqueness of this research lies in the integration of the Entropy method for objective weighting combined with three advanced multi-criteria decision-making (MCDM) approaches: TOPSIS, PIV, and Harrington desirability, effectively overcoming the subjectivity inherent in traditional decision-making. Experimental results demonstrate that the proposed framework enables a consistent and robust ranking of process alternatives. Consequently, the optimal parameter set was specifically identified as a nitriding temperature of 510&#xa0;°C, a treatment time of 4&#xa0;h, and a gas flow rate of 6&#xa0;l/h. This methodology serves as an effective decision-support tool for interactive design and manufacturing environments involving complex surface engineering processes, which have remained largely unexplored in existing literature.</p> Graphical abstract <p></p> <p>Graphical abstract illustrating the integration of entropy-based objective weighting with multiple MCDM methods (TOPSIS, PIV, and Harrington) for interactive optimization of plasma nitriding parameters of hypoid gears.</p>

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Entropy-based multi-criteria decision framework for plasma nitriding of hypoid gears

  • 期刊论文

  • 发表日期：

    2026年3月26日

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  • Le Hong Ky

摘要

This study proposes an entropy-based multi-criteria decision framework applied for the first time to interactively optimize plasma nitriding parameters for hypoid gears manufactured from SAE 5120 steel. The uniqueness of this research lies in the integration of the Entropy method for objective weighting combined with three advanced multi-criteria decision-making (MCDM) approaches: TOPSIS, PIV, and Harrington desirability, effectively overcoming the subjectivity inherent in traditional decision-making. Experimental results demonstrate that the proposed framework enables a consistent and robust ranking of process alternatives. Consequently, the optimal parameter set was specifically identified as a nitriding temperature of 510 °C, a treatment time of 4 h, and a gas flow rate of 6 l/h. This methodology serves as an effective decision-support tool for interactive design and manufacturing environments involving complex surface engineering processes, which have remained largely unexplored in existing literature.

Graphical abstract

Graphical abstract illustrating the integration of entropy-based objective weighting with multiple MCDM methods (TOPSIS, PIV, and Harrington) for interactive optimization of plasma nitriding parameters of hypoid gears.