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<p>The effect of cutting parameters—workpiece rotation speed, depth of cut, and feed rate—on the temperature distribution across the rake face of an AISI M32C high-speed steel cutting tool is analyzed. The study focuses on machining ABNT 12L14 steel to evaluate thermal behavior under different cutting conditions. Using COMSOL<sup>®</sup> Multiphysics 6.0 for 3D transient heat transfer modeling, three inverse methods-Levenberg–Marquardt, Linear Specified Function, and Nelder-Mead-to estimate heat flux at the chip-tool interface are implemented. Our results show that the Levenberg–Marquardt method achieves the best accuracy, with estimated temperatures deviating by only 1.5% from experimental measurements. This study highlights the effectiveness of optimized cutting parameters in minimizing tool temperature and extending tool life, with the proposed method offering practical benefits for industrial machining processes. </p>

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Analysis of the influence of cutting parameters on AISI M32C high-speed steel tool temperature using inverse heat conduction techniques

  • 期刊论文

  • 发表日期：

    2025年5月2日

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  • Rogério Fernandes Brito,
  • Ricardo Luiz Perez Teixeira,
  • Heitor Alves Falqueto,
  • Giovani Wilhan Viana Carvalho,
  • José Carlos de Lacerda,
  • Tarcísio Gonçalves de Brito,
  • Paulo Mohallem Guimarães,
  • Sandro Metrevelle Marcondes de Lima e Silva,
  • Solidônio Rodrigues de Carvalho,
  • Júlio Cesar Costa Campos

摘要

The effect of cutting parameters—workpiece rotation speed, depth of cut, and feed rate—on the temperature distribution across the rake face of an AISI M32C high-speed steel cutting tool is analyzed. The study focuses on machining ABNT 12L14 steel to evaluate thermal behavior under different cutting conditions. Using COMSOL® Multiphysics 6.0 for 3D transient heat transfer modeling, three inverse methods-Levenberg–Marquardt, Linear Specified Function, and Nelder-Mead-to estimate heat flux at the chip-tool interface are implemented. Our results show that the Levenberg–Marquardt method achieves the best accuracy, with estimated temperatures deviating by only 1.5% from experimental measurements. This study highlights the effectiveness of optimized cutting parameters in minimizing tool temperature and extending tool life, with the proposed method offering practical benefits for industrial machining processes.