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The turning process is a fundamental machining operation widely employed to manufacture various shapes and parts in industries. Achieving desired surface quality in machined products poses significant challenges due to the direct or indirect influence of process parameters which is difficult to optimize during machining. Key processing parameters like depth of cut, tool configuration, velocity, feed rate, and cutting environment play a significant role in determining machining outcomes. This study aims to explore the influence of machining parameters, particularly tool nose radius, on rate of removal of material, roughness, while titanium alloy grade 5(Ti-6Al-4V) is being wet turned. The machinability of titanium alloy grade 5 is hindered by its low ability to conduct heat and the work hardening effect, resulting in decreased tool life and compromised product quality. The proposed experimental study focuses on turning Ti-6Al-4V using multilayer (Ti (C, N) + Al2O3) chemical vapor deposition (CVD) coated carbide tools. Four parameters were selected as process variables: rate of feed, depth of cut, nose radius, and velocity. Genetic algorithm utilized to explore parameter space and optimize the machining performance.

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Multi-objective Optimization of Machining Parameters for Ti-6Al-4V Turning Using Genetic Algorithm

  • 会议论文

  • 发表日期：

    2026年

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  • V. G. Aswathy,
  • Johns Joseph,
  • T. G. Pradeepmon,
  • A. Sravan Kumar,
  • Arun Babu

摘要

The turning process is a fundamental machining operation widely employed to manufacture various shapes and parts in industries. Achieving desired surface quality in machined products poses significant challenges due to the direct or indirect influence of process parameters which is difficult to optimize during machining. Key processing parameters like depth of cut, tool configuration, velocity, feed rate, and cutting environment play a significant role in determining machining outcomes. This study aims to explore the influence of machining parameters, particularly tool nose radius, on rate of removal of material, roughness, while titanium alloy grade 5(Ti-6Al-4V) is being wet turned. The machinability of titanium alloy grade 5 is hindered by its low ability to conduct heat and the work hardening effect, resulting in decreased tool life and compromised product quality. The proposed experimental study focuses on turning Ti-6Al-4V using multilayer (Ti (C, N) + Al2O3) chemical vapor deposition (CVD) coated carbide tools. Four parameters were selected as process variables: rate of feed, depth of cut, nose radius, and velocity. Genetic algorithm utilized to explore parameter space and optimize the machining performance.