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Machining Complexity Evaluation for Five-Axis CNC Machine Tools

  • Langning Xing,
  • Yangjian Ji,
  • Yang Wang,
  • Xiaojian Liu,
  • Shuyou Zhang

摘要

In five-axis machining, efficiency and accuracy often constrain each other. Existing optimization methods typically focus on a single aspect, failing to effectively balance both factors. To address this issue, this study proposes a machining complexity model optimization method for five-axis CNC machine tools that aims to improve machining efficiency while maintaining accuracy. By constructing indicators for machining efficiency, motion stability, and machining complexity, the influence of five-axis machine tool kinematics on part quality is analyzed under kinematic constraints. A case study of a representative part is presented to demonstrate the effectiveness of the proposed method in optimizing machining parameters.