Tool vibration detection with eddy current sensors in machining process and computation of stability lobes using fuzzy classifiers
Tool vibration detection with eddy current sensors in machining process and computation of stability lobes using fuzzy classifiers
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DOI：
10.1016/j.ymssp.2005.11.007
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发表时间：
2007-01-01
影响因子：
8.4
通讯作者：
Dudzinski, Daniel
中科院分区：
文献类型：
--
作者：
Devillez, Arnaud;Dudzinski, Daniel
今天，工艺知识对于工程师找到控制参数的最佳组合非常重要，这些参数可以保证生产率，质量和功能，而不会出现缺陷和故障。在我们的实验室中，我们通过建模，仿真和实验方法在高速加工领域进行研究。我们研究的目的是开发一种软件，允许切削条件优化，以限制预测测试的数量，并进行过程监控，以防止在加工操作过程中出现任何问题。该软件基于模型和实验数据集，这些数据集构成了该过程的知识。在本文中，我们处理的问题，振动发生在加工操作。这些振动可能会导致一些故障和工艺缺陷，如工件表面改变和快速工具磨损。为了在线测量刀具的微运动，我们为车床配备了使用涡流传感器的特定仪器。获得的信号与表面光洁度相关，并且使用信号处理算法来确定测试是稳定的还是不稳定的。在此基础上，提出了一种模糊分类方法，在由切削宽度和切削速度定义的空间中对试验数据进行分类。最后，它表明，模糊分类考虑到测量的不确定性计算的稳定极限或稳定波瓣的过程。(c)2005爱思唯尔有限公司保留所有权利。
Today the knowledge of a process is very important for engineers to find optimal combination of control parameters warranting productivity, quality and functioning without defects and failures. In our laboratory, we carry out research in the field of high speed machining with modelling, simulation and experimental approaches. The aim of our investigation is to develop a software allowing the cutting conditions optimisation to limit the number of predictive tests, and the process monitoring to prevent any trouble during machining operations. This software is based on models and experimental data sets which constitute the knowledge of the process. In this paper, we deal with the problem of vibrations occurring during a machining operation. These vibrations may cause some failures and defects to the process, like workpiece surface alteration and rapid tool wear. To measure on line the tool micro-movements, we equipped a lathe with a specific instrumentation using eddy current sensors. Obtained signals were correlated with surface finish and a signal processing algorithm was used to determine if a test is stable or unstable. Then, a fuzzy classification method was proposed to classify the tests in a space defined by the width of cut and the cutting speed. Finally, it was shown that the fuzzy classification takes into account of the measurements incertitude to compute the stability limit or stability lobes of the process. (c) 2005 Elsevier Ltd. All rights reserved.