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Flank Wear and Surface Roughness Estimation in Steel Turning

机译：钢转动的侧面磨损和表面粗糙度估计

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摘要

This paper presents a method to detect tool wear and surface roughness during steel dry turning. It is important to note that the objective of the proposed method is to fulfill the needs in the development of these monitoring systems according with the research community in this area, and they are: 1) A trade-off between the number of sensors used and their cost, and the performance of the monitoring system, 2) A sufficiently reduced computing time that allows to change the tool before the wear exceeds the fixed threshold and/or stop the machining process before the surface roughness exceeds its threshold, and 3) The use of sensors that do not disturb the machining process. The monitoring signals are the feed motor current and the vibrations. The results show that the proposed system can be used for this purpose due to its high accuracy and reliability.
机译：本文介绍了一种检测钢干转动过程中工具磨损和表面粗糙度的方法。值得注意的是，该方法的目的是根据该领域的研究界履行这些监测系统的需要，它们是：1）使用的传感器数量和它们的成本和监控系统的性能，2）足够减少的计算时间，允许在磨损之前改变工具超过固定阈值和/或在表面粗糙度超过其阈值之前停止加工过程，以及3）使用不扰乱加工过程的传感器。监控信号是进料电动机电流和振动。结果表明，由于其高精度和可靠性，所提出的系统可用于此目的。

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