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<p>It is very important to study the cutting process of TC27 titanium alloy to ensure its safety and reliability as a key connecting component in harsh oil and gas extraction environments. The cutting process of TC27 titanium alloy is investigated by employing Johnson–Cook (J-C) model, finite element simulation, and orthogonal cutting experiment in this study. J-C constitutive and damage models are established and calibrated by fitting J-C parameters based on the tensile experiment and SHPB which is in good agreement with experimental results. The cutting forces, degree of chip serration, and morphology of chip are simulated and discussed. The optimal cutting parameters are determined to be a cutting speed of 1600 mm/s and a feed rate of 0.05 mm/r. At this condition, the cutting force is 199.916 N, the chips exhibited a sliding-type morphology, and the coefficient of variation is 0.04.</p>

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Determination of Johnson–Cook Model Parameter and Numerical Simulation of Cutting Process for TC27 Titanium Alloy

  • 期刊论文

  • 发表日期：

    2026年4月29日

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  • Zhipeng Zhang,
  • Jun Wang,
  • Linzhu Wang,
  • Shumin Zhao,
  • Haijing Zhang,
  • Ruizhi Gao,
  • Likun Long

摘要

It is very important to study the cutting process of TC27 titanium alloy to ensure its safety and reliability as a key connecting component in harsh oil and gas extraction environments. The cutting process of TC27 titanium alloy is investigated by employing Johnson–Cook (J-C) model, finite element simulation, and orthogonal cutting experiment in this study. J-C constitutive and damage models are established and calibrated by fitting J-C parameters based on the tensile experiment and SHPB which is in good agreement with experimental results. The cutting forces, degree of chip serration, and morphology of chip are simulated and discussed. The optimal cutting parameters are determined to be a cutting speed of 1600 mm/s and a feed rate of 0.05 mm/r. At this condition, the cutting force is 199.916 N, the chips exhibited a sliding-type morphology, and the coefficient of variation is 0.04.