<p>Laser-assisted milling (LAM) is a hybrid machining process applied to difficult-to-cut materials such as ultra-high strength steel. Cutting force is an important indicator for evaluating the feasibility of LAM. An analytical cutting force model considering non-uniform initial temperature condition is presented in this paper based on orthogonal cutting theory and the Johnson-Cook (J-C) constitutive equation. The constitutive parameters are determined by combining the inverse identification technology with orthogonal cutting experiments. LAM experiments on AerMet100 steel are performed to verify the cutting force model. The results indicate that using preheating temperature instead of ambient temperature in the J-C constitutive equation can improve the prediction accuracy, especially under high laser power conditions. Further, the influences of feed rate, laser-tool distance, and radial cutting width on cutting force are discussed. This work has practical guiding significance for reducing cutting force and avoiding thermal damage to the cutting tool and workpiece in the LAM process.</p>

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Analytical modeling of cutting force in laser-assisted milling considering non-uniform initial temperature condition

  • Haohao Zeng,
  • Yudong Xia,
  • Xiangtao Hu,
  • Dong Yang

摘要

Laser-assisted milling (LAM) is a hybrid machining process applied to difficult-to-cut materials such as ultra-high strength steel. Cutting force is an important indicator for evaluating the feasibility of LAM. An analytical cutting force model considering non-uniform initial temperature condition is presented in this paper based on orthogonal cutting theory and the Johnson-Cook (J-C) constitutive equation. The constitutive parameters are determined by combining the inverse identification technology with orthogonal cutting experiments. LAM experiments on AerMet100 steel are performed to verify the cutting force model. The results indicate that using preheating temperature instead of ambient temperature in the J-C constitutive equation can improve the prediction accuracy, especially under high laser power conditions. Further, the influences of feed rate, laser-tool distance, and radial cutting width on cutting force are discussed. This work has practical guiding significance for reducing cutting force and avoiding thermal damage to the cutting tool and workpiece in the LAM process.