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<p>Selective laser melting (SLM) is one of the advanced manufacturing techniques. The purpose of this work is to develop a new reasonable SLM process optimization methodology for improving multiple quality attributes of the SLM parts. The multiple quality attributes are converted into a single comprehensive quality index (CQI) using the multi-attribute decision-making (MADM) method, and the optimization result may differ according to the applied MADM. To address this, this work proposed the final CQI (FCQI) as the priority weighted mean value of the CQIs from the multiple MADMs (it is called the integrated MADM method) and determined the optimal process parameters to maximize the FCQI using the Taguchi method. The methodology was applied to optimize the laser power (P), scan speed (S), and overlap rate (O) for improving tensile strength, hardness, relative density, and surface roughness of the SLM-manufactured AlSi10Mg alloys. The optimal process parameters were P of 320 W, S of 600&#xa0;mm/s, and O of 35%, respectively. The innovation and superiority of the proposed methodology are as follows: (1) It can evaluate the comprehensive quality of the SLM parts more accurately using the FCQI combined with the multiple MADMs, not only one MADM. (2) It can reflect the priority weights of the multiple MADMs to improve the accuracy and reasonability of the final CQIs. (3) It can clearly understand the effects of the process parameters by introducing the effect scores. The methodology could be applied to the SLM process optimization for not only Al alloys but also various metals/alloys.</p>

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Selective laser melting process optimization methodology using integrated MADM and Taguchi methods

  • 期刊论文

  • 发表日期：

    2025年11月17日

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  • Won-Chol Yang,
  • Ji-Yon Yang,
  • Myong-Song Om,
  • Un-Ha Kim,
  • Sun-Hak Sok,
  • Wi-Song Ri

摘要

Selective laser melting (SLM) is one of the advanced manufacturing techniques. The purpose of this work is to develop a new reasonable SLM process optimization methodology for improving multiple quality attributes of the SLM parts. The multiple quality attributes are converted into a single comprehensive quality index (CQI) using the multi-attribute decision-making (MADM) method, and the optimization result may differ according to the applied MADM. To address this, this work proposed the final CQI (FCQI) as the priority weighted mean value of the CQIs from the multiple MADMs (it is called the integrated MADM method) and determined the optimal process parameters to maximize the FCQI using the Taguchi method. The methodology was applied to optimize the laser power (P), scan speed (S), and overlap rate (O) for improving tensile strength, hardness, relative density, and surface roughness of the SLM-manufactured AlSi10Mg alloys. The optimal process parameters were P of 320 W, S of 600 mm/s, and O of 35%, respectively. The innovation and superiority of the proposed methodology are as follows: (1) It can evaluate the comprehensive quality of the SLM parts more accurately using the FCQI combined with the multiple MADMs, not only one MADM. (2) It can reflect the priority weights of the multiple MADMs to improve the accuracy and reasonability of the final CQIs. (3) It can clearly understand the effects of the process parameters by introducing the effect scores. The methodology could be applied to the SLM process optimization for not only Al alloys but also various metals/alloys.