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Design of CNC Contour Error Compensation Based on Geometric Trajectory

机译:基于几何轨迹的数控轮廓误差补偿设计

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In the face of the existing large-scale processing requirements of the 3C industry, the traditional mode of reducing the contour error requires repeated trials, which relies on the experience of the staff and results in low processing efficiency. Therefore, this paper presents a self-learning contour error compensation study based on geometric trajectories, which enables the machine to learn from past processing experience to predict and compensate for errors in advance to achieve the high-quality parts processing. Experiments show that the algorithm can effectively reduce the machining contour error and improve the machining accuracy.
机译:面对3C行业现有的大规模加工要求,减少轮廓误差的传统方式需要反复试验,这依赖于工作人员的经验,导致加工效率低下。因此,本文提出了一种基于几何轨迹的自学习轮廓误差补偿研究,该研究使机器可以从过去的加工经验中学习,以预先预测和补偿误差,从而实现高质量的零件加工。实验表明,该算法可以有效降低加工轮廓误差,提高加工精度。

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