基于Rényi熵的铣削过程稳定性预测研究
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湖南省自然科学基金资助面上项目(2020JJ4270)


Research on Stability Prediction of Milling Process Based on Rényi Entropy
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    摘要:

    颤振现象会严重制约铣削加工的质量与效率。为实现无颤振高效铣削,提出了一种基于Rényi熵的铣削过程稳定性时域预测方法。即先用变步长龙格-库塔法求解铣削动力学微分方程,获得振动位移、切削力等时域信号;再计算仿真时域信号的Rényi熵并依据设定的颤振阈值确定给定切削条件的铣削稳定性。将仿真得到的稳定性叶瓣图与颤振验证试验结果进行对比,验证了所提出预测方法的正确性。

    Abstract:

    Due to the fact chatter seriously restricts the quality and efficiency of milling, and in view of a realization of a high efficiency chatter-free milling process, a milling stability prediction method has thus been proposed by using Rényi entropy as the stability criterion. Firstly, the Runge-Kutta method with variable step sizes is used to solve the milling dynamic differential equation, thus obtaining the time domain signals of vibration displacement and cutting forces; secondly, based on the calculation of Rényi entropy of the simulated time domain signal, the milling stability under the given cutting condition can be determined according to the predefined chatter threshold, followed by a comparison of the stability lobe diagram obtained by simulation with the flutter verification test results, thus verifying the validity of the proposed prediction method.

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李忠群,刘 浪,段林升,肖检冬,张伟峰.基于Rényi熵的铣削过程稳定性预测研究[J].湖南工业大学学报,2022,36(3):16-21.

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  • 收稿日期:2021-12-15
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  • 在线发布日期: 2022-05-10
  • 出版日期: 2022-05-01