基于切削音频和温度参数拟合的刀具磨损状态研究

Proceedings of the 2019 International Conference on Robotics, Intelligent Control and Artificial Intelligence Pub Date : 2019-09-20 DOI:10.1145/3366194.3366214

Ning Ding, Minliang Zhang

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引用次数: 2

摘要

刀具状态监测技术作为智能制造领域的重要组成部分，在促进生产加工过程的自动化、智能化方面发挥着巨大的作用。本文采用音频和温度信号参数来监测刀具在切削过程中的磨损状态。然后对不同磨损状态下实验得到的声音信号和温度信号的特征参数进行拟合和分析，并对声音信号进行小波变换分析。应用结果表明，该监测方法有效地解决了单因素监测刀具状态的局限性和稳定性问题，对提高加工效率和精度具有重要意义。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Research on Tool Wear State Based on Cutting Audio and Temperature Parameter Fitting

Tool condition monitoring technology, as an important part of intelligent manufacturing field, plays a great role in promoting automation and intellectualization in the production and processing process. In this paper, audio and temperature signal parameters are used to monitor tool wear state during cutting. Then the characteristic parameters of audio and temperature signals obtained from experiments under different wear states are fitted and analyzed, and the acoustic signals are analyzed by wavelet transform. The application results show that this monitoring method effectively solves the limitation and stability of single factor monitoring tool status, and is of great significance to improve the processing efficiency and accuracy.

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Proceedings of the 2019 International Conference on Robotics, Intelligent Control and Artificial Intelligence

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