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Tool wear estimation and life prognostics in milling: Model extension and generalization

机译：工具磨损估计和磨机中的寿命预测：模型扩展和泛化

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摘要

Tool wear condition is a key factor in milling which directly affects machining precision and part quality. It is essential to seek a convenient method to model and predict tool states. A generic wear model with adjustable coefficients is proposed and validated in this study. Considering the inner mechanisms of different wear stages, the entire tool life is split into three mainly wear zones by critical time, which correspond to three main types of wear: running-in wear, adhesive wear, and three-body abrasive wear. The wear model is validated based on the experimental data, compared with other celebrated wear models, and then further improved to enhance the adaptability and generalization. It is shown that the generalized wear model can discriminate tool wear ranges accurately. The determination coefficient of the wear model is more than 98% with the experimental data. Based on the proposed model, an approach for tool life prognosing and tool wear condition evaluating is proposed. The predictive real-time monitoring data of tool life and wear can be obtained timely with a genetic algorithm.
机译：工具磨损条件是铣削的关键因素，可直接影响加工精度和部件质量。必须寻求一种方便的模型方法和预测工具状态。在本研究中提出并验证了具有可调节系数的通用磨损模型。考虑到不同磨损阶段的内部机制，整个工具寿命通过关键时间分成三个主要磨损区域，这对应于三种主要类型的磨损：磨损磨损，粘合剂磨损和三体磨料磨损。与其他庆祝的磨损模型相比，基于实验数据验证磨损模型，然后进一步改进以提高适应性和泛化。结果表明，广义磨损模型可以准确地辨别工具磨损。实验数据，磨损模型的确定系数大于98％。基于所提出的模型，提出了一种刀具寿命预测和工具磨损条件评估的方法。可以使用遗传算法及时获得刀具寿命和磨损的预测实时监测数据。

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  • 来源
    《Mechanical systems and signal processing》 |2021年第6期|107617.1-107617.19|共19页
  • 作者

    Yu Zhang; Kunpeng Zhu; Xianyin Duan; Si Li;

  • 作者单位

    Lab of Precision Manufacturing Institute of Advanced Manufacturing Technology Hefei Institutes of Physical Science Chinese Academy of Sciences Changzhou 213164 Jiangsu China Department of Automation University of Science and Technology of China Hefei 230026 China;

    Lab of Precision Manufacturing Institute of Advanced Manufacturing Technology Hefei Institutes of Physical Science Chinese Academy of Sciences Changzhou 213164 Jiangsu China School of Machinery and Automation Wuhan University of Science and Technology Wuhan 430081 China;

    School of Machinery and Automation Wuhan University of Science and Technology Wuhan 430081 China;

    Lab of Precision Manufacturing Institute of Advanced Manufacturing Technology Hefei Institutes of Physical Science Chinese Academy of Sciences Changzhou 213164 Jiangsu China;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Milling; Tool wear modeling and monitoring; Adjustable coefficients; Generalization; Genetic algorithm;

    机译：铣削;工具磨损建模和监控;可调节系数;概括;遗传算法;

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