<p>Threads are widely used in the industry to connect two parts. Turning, milling, and other methods have traditionally been used to create threads. For milling, three-axis strategy is used in the most cases. However, some threads with high accuracy can not be machined by the three-axis milling process due to the large machining error. Therefore, a novel five-axis optimization strategy for milling thread is presented in this paper. In order to reduce the machining error, the interference analysis is conducted firstly. Then, based on the interference model, the machining error is defined, and then a new tool path optimization method is present to minimize the machining errors including undercut and overcut. In order to verify the validity of the proposed method, some experiments with three and five-axis milling strategy are carried out. The results show that the method in this paper can reduce the machining error effectively.</p>

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Interference analysis and cutter-axis optimization in the five-axis thread milling process

  • Ye Tao,
  • Jinjie Jia,
  • Qiang Guo,
  • Yan Jiang,
  • Tian Li,
  • Ying Niu

摘要

Threads are widely used in the industry to connect two parts. Turning, milling, and other methods have traditionally been used to create threads. For milling, three-axis strategy is used in the most cases. However, some threads with high accuracy can not be machined by the three-axis milling process due to the large machining error. Therefore, a novel five-axis optimization strategy for milling thread is presented in this paper. In order to reduce the machining error, the interference analysis is conducted firstly. Then, based on the interference model, the machining error is defined, and then a new tool path optimization method is present to minimize the machining errors including undercut and overcut. In order to verify the validity of the proposed method, some experiments with three and five-axis milling strategy are carried out. The results show that the method in this paper can reduce the machining error effectively.