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<p>The part-tool-machine (PTM) interaction influences the machinability of steel. However, traditional methods for studying machinability often focus primarily on process factors. The objective of this study is to combine PTM factors in analyzing the machinability of Toolox 44 steels during NC turning process. The selected input parameters relate to the workpiece (taper), the tool (inclination angle and nose radius), and the cutting regime (cutting speed, feed rate and depth of cut). The measured responses are maximum profile roughness (Rz) and cutting power (Pc). The methodology employed is based on a Taguchi design of experiments (L36), combined with stepwise regression and ANOVA analysis. The results revealed that feed rate is the most determining factor (34.94%) for Rz, while cutting speed has the greatest influence (62.64%) on Pc. The originality of this study lies in demonstrating that the part’s taper angle and the tool’s inclination angle, often neglected in the literature, played a significant role in influencing responses. Multi-Criteria Decision-Making (MCDM) was conducted using DF, TOPSIS, GRA, and MOORA methods, with the objective of minimizing Rz and Pc. Experimental validation validated the approach while revealing the robustness and reliability of the GRA method. The optimization approach predicted experimental results with less than 2% error, compared with DF and TOPSIS methods, which showed average errors around 6%. Thus, a judicious choice of experimentation and optimization techniques allows a better prediction of the machinability of hard metals such as Toolox 44 steels.</p>

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Evaluation and optimization of machinability during the finish turning of Toolox 44 steel

  • 期刊论文

  • 发表日期：

    2026年1月6日

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  • Boujemaa Hadj Brahim,
  • Mohamed Nasser,
  • Slimen Attyaoui,
  • Lotfi Dahmani,
  • Chiraz Ben Meftah

摘要

The part-tool-machine (PTM) interaction influences the machinability of steel. However, traditional methods for studying machinability often focus primarily on process factors. The objective of this study is to combine PTM factors in analyzing the machinability of Toolox 44 steels during NC turning process. The selected input parameters relate to the workpiece (taper), the tool (inclination angle and nose radius), and the cutting regime (cutting speed, feed rate and depth of cut). The measured responses are maximum profile roughness (Rz) and cutting power (Pc). The methodology employed is based on a Taguchi design of experiments (L36), combined with stepwise regression and ANOVA analysis. The results revealed that feed rate is the most determining factor (34.94%) for Rz, while cutting speed has the greatest influence (62.64%) on Pc. The originality of this study lies in demonstrating that the part’s taper angle and the tool’s inclination angle, often neglected in the literature, played a significant role in influencing responses. Multi-Criteria Decision-Making (MCDM) was conducted using DF, TOPSIS, GRA, and MOORA methods, with the objective of minimizing Rz and Pc. Experimental validation validated the approach while revealing the robustness and reliability of the GRA method. The optimization approach predicted experimental results with less than 2% error, compared with DF and TOPSIS methods, which showed average errors around 6%. Thus, a judicious choice of experimentation and optimization techniques allows a better prediction of the machinability of hard metals such as Toolox 44 steels.