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Abstract <p>This paper addresses the problem of optimizing the surface quality and permeability of porous structures obtained by selective laser melting (SLM). Modern research emphasizes the importance of monitoring surface roughness and accurate porosity assessment to achieve high product quality standards, especially in high-tech industries such as rocket and space technology, aviation, and medicine. The influence of various factors, such as printing parameters and thermal-processing conditions, on the characteristics of the products is investigated in the work. The results obtained show that printing parameters do not have a significant effect on the surface roughness, which indicates the importance of other factors, such as melt pool dynamics and layer-by-layer additive construction. In addition, using mathematical methods and Darcy’s law, we performed an analysis of the water permeability of the samples, which made it possible to identify regularities between the printing parameters, porosity, and conductivity of the liquid. The results obtained may be useful to engineers and technologists involved in the implementation and optimization of SLM printing processes to improve the functionality and quality of products.</p>

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Application of Machine-Learning Methods to Optimize the Conductive Surface Quality and Permeability of Porous Structures Obtained by Selective Laser Melting

  • 期刊论文

  • 发表日期：

    2025年12月1日

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  • A. L. Galinovskii,
  • D.A. Martysyuk,
  • E. D. Katkova,
  • Z. S. Terent’eva,
  • Yu. K. Kostromin

摘要

Abstract

This paper addresses the problem of optimizing the surface quality and permeability of porous structures obtained by selective laser melting (SLM). Modern research emphasizes the importance of monitoring surface roughness and accurate porosity assessment to achieve high product quality standards, especially in high-tech industries such as rocket and space technology, aviation, and medicine. The influence of various factors, such as printing parameters and thermal-processing conditions, on the characteristics of the products is investigated in the work. The results obtained show that printing parameters do not have a significant effect on the surface roughness, which indicates the importance of other factors, such as melt pool dynamics and layer-by-layer additive construction. In addition, using mathematical methods and Darcy’s law, we performed an analysis of the water permeability of the samples, which made it possible to identify regularities between the printing parameters, porosity, and conductivity of the liquid. The results obtained may be useful to engineers and technologists involved in the implementation and optimization of SLM printing processes to improve the functionality and quality of products.