The practical exploitation of tacit machine tool intelligence

The practical exploitation of tacit machine tool intelligence
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DOI:
10.1007/s00170-019-03963-0
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发表时间:
2019-06
期刊:
The International Journal of Advanced Manufacturing Technology
影响因子:
--
通讯作者:
Jacob L. Hill;P. Prickett;R. Grosvenor;Gareth Hankins
Jacob L. Hill;P. Prickett;R. Grosvenor;Gareth Hankins
中科院分区:
其他
文献类型:
--
作者:
Jacob L. Hill;P. Prickett;R. Grosvenor;Gareth Hankins

文献摘要

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制造设备在容量和价值方面都越来越重视隐性智能。然而,这种情报尚未得到有效利用。这是由于已开发方法的成本和局限性以及对数据价值和数据来源的理解不足。这项工作研究了典型机床数据的主要局限性,并鼓励考虑这些固有的局限性,以改进潜在的监控策略。这项工作提出了一种获取和处理机床切削数据的新颖方法。该方法考虑了受监控系统的状况和切削刀具性能的恶化。机床控制器对切削过程的管理构成了该方法的基础,因此利用了在此类任务中部署的隐性智能。通过使用可用的机床控制器信号,可以最大限度地减少对日常加工操作的影响,同时避免改造设备或传感器。考虑了该方法在新兴物联网和智能过程管理和监控背景下的潜力。该方法的有效性是通过将主动导出的过程变化测量与产品形态的离线测量相关联来评估的。然后通过一系列实验强调了这种潜力,对这些实验得出的变化进行评估,作为切削刀具健康状况的直接衡量标准。所提出的系统被认为是对主要考虑制造部件的形式和特征的当前方法的可行替代方案和协同补充。
Manufacturing equipment embraces an increasing measure of tacit intelligence, in both capacity and value. However, this intelligence is yet to be exploited effectively. This is due to both the costs and limitations of developed approaches and a deficient understanding of data value and data origin. This work investigates the principal limitations of typical machine tool data and encourages consideration of such inherent limitations in order to improve potential monitoring strategies. This work presents a novel approach to the acquisition and processing of machine tool cutting data. The approach considers the condition of the monitored system and the deterioration of cutting tool performance. The management of the cutting process by the machine tool controller forms the basis of the approach, and hence, makes use of the tacit intelligence that is deployed in such a task. By using available machine tool controller signals, the impact on day-to-day machining operations is minimised while avoiding the need to retrofit equipment or sensors. The potential of the approach in the contexts of the emerging internet of things and intelligent process management and monitoring is considered. The efficacy of the approach is evaluated by correlating the actively derived measure of process variation with an offline measurement of product form. The potential is then underlined through a series of experiments for which the derived variation is assessed as a direct measure of the cutting tool health. The proposed system is identified as both a viable alternative and synergistic addition to current approaches that mainly consider the form and features of the manufactured component.