Samarin Mikhail Anatolyevich, Shostak Nikita Andreevich, Balayev Etibar Yusif Oglu, Basyuk Anahit Seiranovna
Institute of Oil, Gas and Energy, Kuban State University of Technology, Krasnodar, 350072, Russia.
MethodsX. 2024 Sep 4;13:102929. doi: 10.1016/j.mex.2024.102929. eCollection 2024 Dec.
One of the processes that accompanies the operation of various hydraulic systems is cavitation. This phenomenon is often accompanied by cavitation erosion, that is, the progressive loss of parent material from a solid surface due to continued exposure. The problem of obtaining accurate and reliable data when conducting cavitation studies remains relevant. This article discusses the adaptation of the use of Shewhart control charts when conducting cavitation studies, in order to determine the presence of non-random "special" causes of variability. A graph of changes in the process parameters over time was constructed to carry out statistical control of the stability of the process in order to determine the boundaries of the system variability of the process in order to predict the behavior of the process. As a result of the conducted research, recommendations were developed to increase the accuracy of output data when conducting cavitation studies. It has been confirmed that the use of control charts as a tool for quality control of laboratory measurements allows us to establish that the process has achieved a statistically controlled state, which allows us to maintain a high degree of stability and quality of the research being carried out. This method makes it possible:•to determine the presence of non-random "special" causes of variability during cavitation studies.•to quickly identify and eliminate the "special" causes of variability during cavitation studies.
各种液压系统运行过程中伴随的一个过程是气蚀。这种现象通常伴随着气蚀侵蚀，即由于持续暴露，固体表面母体材料逐渐损失。在进行气蚀研究时，获取准确可靠数据的问题仍然很重要。本文讨论了在进行气蚀研究时采用休哈特控制图，以确定是否存在非随机的“特殊”变异原因。构建了过程参数随时间变化的图表，以对过程稳定性进行统计控制，从而确定过程系统变异的边界，以便预测过程行为。通过所进行的研究，制定了提高气蚀研究输出数据准确性的建议。已经证实，使用控制图作为实验室测量质量控制的工具，使我们能够确定过程已达到统计控制状态，这使我们能够保持所进行研究的高度稳定性和质量。这种方法使得：•在气蚀研究期间确定非随机的“特殊”变异原因的存在。•在气蚀研究期间快速识别并消除变异的“特殊”原因。
