Operational Risk Modeling of CNC Machine Tool Considering Workpiece Quality

Xin Zheng, Yihai He, Ruoyu Liao, Yuqing Zhang
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Abstract

With the advent of the era of big data and intelligent manufacturing, the structure of CNC machine tool has become more and more sophisticated and complex, and the risks of CNC machine tool during operation have become more and more diverse. Only by analyzing, evaluating and maintaining CNC machine operational risks activities to reduce its operational risk. Among the risks, substandard workpiece quality has gradually become the biggest risk in the operation of CNC machine tools, and this risk is usually ignored by people. Therefore, this paper proposes a modeling method for CNC machine tools based on operational risk that considers the quality of the workpiece. Firstly, define the operational risk system of CNC machine, and divide the operational risk of CNC machine into two parts: production risk and use risk. Secondly, the production risk and use risk of CNC machine are modeled separately, and the operational risk of CNC machine will be evaluated by Bayesian network for the CNC machine system. Finally, an example is given to illustrate the feasibility of the modeling method.
考虑工件质量的数控机床运行风险建模
随着大数据和智能制造时代的到来,数控机床的结构越来越精密和复杂,数控机床在运行过程中的风险也越来越多样化。只有通过分析、评估和维护数控机床运行风险活动,才能降低其运行风险。在这些风险中,工件质量不合格已逐渐成为数控机床运行中的最大风险,而这一风险往往被人们所忽视。因此,本文提出了一种考虑工件质量的基于操作风险的数控机床建模方法。首先,定义数控机床的操作风险体系,将数控机床的操作风险分为生产风险和使用风险两部分。其次,分别对数控机床的生产风险和使用风险进行建模,利用贝叶斯网络对数控机床系统的运行风险进行评估;最后,通过一个算例说明了该建模方法的可行性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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