Abstract
Abstract The life extension of the control valve is deserving of research. The study of life extension associated with control valves is a multidisciplinary problem, but it mainly depends on the control valve’s failure. To monitor the operating state of the control valve, this paper provides decision-making suggestions for extending the service life of the control valve by augmented reality (AR)-based cavitation analysis. The valve core is an essential part of the control valve and is often exposed to cavitation. To study the cavitation area near the control valve core, the analysis of the transparent control valve body made of polymethyl methacrylate (PMMA) material was carried out in this study. The emergence of PMMA eased the capturing of images by high-speed photography. A feature-based algorithm was written using Python software to visualize the cavitation area. Furthermore, we combined AR-based cavitation observation and fault diagnosis to guide the life extension process of the control valve with the visual flow field information.
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