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<p>To enable the large-area application of 0Cr16Ni5Mo1 via laser-directed energy deposition (LDED) technology, a finite element model was developed in this study to simulate multi-pass, double-layer LDED fabrication of 0Cr16Ni5Mo1. The multi-physics field evolution during the multi-pass double-layer LDED process under various process parameters was investigated. An orthogonal experimental design based on Taguchi method was employed, selecting the peak temperature and peak stress of the first and second layers as response variables. Signal-to-noise ratio analysis was conducted to evaluate the influence of process parameters on the response targets. Given the limitation of Taguchi method in multi-objective optimization, this study integrated grey relational analysis to convert the four response targets into a grey relational grade (GRG) for optimizing peak temperature and peak stress simultaneously. The optimal parameter set was identified as laser power of 900 W, scanning speed of 20 mm/s, and scanning strategy method 3. Validation experiments demonstrated that the optimized parameter set improved the GRG by 0.289. Finally, the microhardness and elemental distribution of the coatings were discussed. The combination of Taguchi method and grey relational analysis offers an effective approach for multi-parameter optimization in LDED processes.</p>

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Multi-response optimization of 0Cr16Ni5Mo1 laser directional energy precipitation based on Taguchi method and grey relational analysis

  • 期刊论文

  • 发表日期：

    2025年11月25日

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  • Guang Zeng,
  • Xubin Wang,
  • Zhaowei Liang,
  • Yuanpeng Liu,
  • Quanwei Liu,
  • Xinyu Hu,
  • Debin Kong,
  • Longxin Zhu,
  • Yifeng Chen

摘要

To enable the large-area application of 0Cr16Ni5Mo1 via laser-directed energy deposition (LDED) technology, a finite element model was developed in this study to simulate multi-pass, double-layer LDED fabrication of 0Cr16Ni5Mo1. The multi-physics field evolution during the multi-pass double-layer LDED process under various process parameters was investigated. An orthogonal experimental design based on Taguchi method was employed, selecting the peak temperature and peak stress of the first and second layers as response variables. Signal-to-noise ratio analysis was conducted to evaluate the influence of process parameters on the response targets. Given the limitation of Taguchi method in multi-objective optimization, this study integrated grey relational analysis to convert the four response targets into a grey relational grade (GRG) for optimizing peak temperature and peak stress simultaneously. The optimal parameter set was identified as laser power of 900 W, scanning speed of 20 mm/s, and scanning strategy method 3. Validation experiments demonstrated that the optimized parameter set improved the GRG by 0.289. Finally, the microhardness and elemental distribution of the coatings were discussed. The combination of Taguchi method and grey relational analysis offers an effective approach for multi-parameter optimization in LDED processes.