基于振动信号的硬车削刀具状态监测综述

Govind S. Ghule, N. Ambhore, S. Chinchanikar
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引用次数: 1

摘要

机床刀具状态监测是指确定机床的状态及其随时间的变化,是对机床进行预测维修的过程。各个行业的总体趋势是通过各种自动化类型的机械来减少人力资源,从而通过减少人为错误来提高系统的准确性。机床的状态可以通过测量各种物理参数来确定,如振动、温度、磨损、表面粗糙度、声发射等。本文综述了刀具状态监测系统及其振动信号在硬车削加工过程中的应用。使用振动信号进行分析将有助于预测和防止工具故障,从而避免生产系统的停机时间,并提高操作的安全性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Tool Condition Monitoring Using Vibration Signals During Hard Turning: A Review
Tool condition monitoring of machine is the prognostic maintenance process of machinery which deals with the determination of a condition of machinery and its change with respect to time. The overall trend in various industries is to reduce the human resources by various automated types of machinery so as to have betterment in the accuracy of the system by reducing the human errors. A condition of the machine tool may be determined by measuring various physical parameters like vibration, temperature, wear, surface roughness, acoustic emissions etc. This paper presents a review of tool condition monitoring systems (TCMS) with an application of vibration signals in the hard turning machining process. The analysis using vibration signals will help in predicting and preventing the failure of the tool which will avoid the downtime of a production system and will also increase the safety of operation.
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