Condition based maintenance of machine tools: Vibration monitoring of spindle units

A. Rastegari, A. Archenti, Mohammadsadegh Mobin
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引用次数: 34

Abstract

Machining systems (i.e., machine tools, cutting processes and their interaction) cannot produce accurate parts if performance degradation due to wear in their subsystems (e.g., feed-drive systems and spindle units) is not identified, monitored and controlled. Appropriate maintenance actions delay the possible deterioration and minimize/avoids the machining system stoppage time that leads to lower productivity and higher production cost. Moreover, measuring and monitoring machine tool condition has become increasingly important due to the introduction of agile production, increased accuracy requirements for products and customers' requirements for quality assurance. Condition Based Maintenance (CBM) practices, such as vibration monitoring of machine tool spindle units, are therefore becoming a very attractive, but still challenging, method for companies operating high-value machines and components. CBM is being used to plan for maintenance action based on the condition of the machines and to prevent failures by solving the problems in advance as well as controlling the accuracy of the machining operations. By increasing the knowledge in this area, companies can save money through fewer acute breakdowns, reduction in inventory cost, reduction in repair times, and an increase in the robustness of the manufacturing processes leading to more predictable manufacturing. Hence, the CBM of machine tools ensures the basic conditions to deliver the right ability or capability of the right machine at the right time. One of the most common problems of rotating equipment such as spindles is the bearing condition (due to wear of the bearings). Failure of the bearings can cause major damage in a spindle. Vibration analysis is able to diagnose bearing failures by measuring the overall vibration of a spindle or, more precisely, by frequency analysis. Several factors should be taken into consideration to perform vibration monitoring on a machine tool's spindle. Some of these factors are as follows: the sensor type/sensitivity, number of sensors to be installed on the spindle in different directions, positioning of the vibration accelerometers, frequency range to be measured, resonance frequency, spindle rotational speed during the measurements,
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机床的状态维护:主轴单元的振动监测
如果加工系统(即机床、切削过程及其相互作用)的子系统(如进给驱动系统和主轴单元)由于磨损而导致的性能下降没有得到识别、监测和控制,则加工系统(即机床、切削过程及其相互作用)无法生产出精确的零件。适当的维护措施可以延缓可能出现的劣化,并尽量减少/避免导致生产率降低和生产成本增加的加工系统停机时间。此外,由于敏捷生产的引入,对产品精度要求的提高以及客户对质量保证的要求,测量和监控机床状态变得越来越重要。因此,基于状态的维护(CBM)实践,例如机床主轴单元的振动监测,对于运营高价值机器和部件的公司来说,正成为一种非常有吸引力但仍然具有挑战性的方法。CBM被用于根据机器的状况计划维修行动,并通过提前解决问题和控制加工操作的精度来防止故障。通过增加这一领域的知识,公司可以通过减少突发故障、减少库存成本、减少维修时间以及提高制造过程的稳健性来节省资金,从而实现更可预测的制造。因此,机床的CBM确保了在正确的时间提供正确的机器的正确能力或能力的基本条件。旋转设备如主轴最常见的问题之一是轴承状况(由于轴承的磨损)。轴承的故障会对主轴造成重大损害。振动分析能够通过测量主轴的整体振动来诊断轴承故障,或者更准确地说,通过频率分析。对机床主轴进行振动监测应考虑几个因素。其中一些因素如下:传感器类型/灵敏度,不同方向上安装在主轴上的传感器数量,振动加速度计的位置,待测频率范围,共振频率,测量时主轴转速,
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