New Approaches to Visualization and Analysis of Flows in Shock Tubes

Abstract

In this paper, new approaches to the investigation of gas-dynamic processes in shock tubes using modern methods of visualization and analysis are presented. Studies were conducted on the flow behind a shock wave in a rectangular channel of a shock tube with constant cross-section and in a channel with an obstacle. The experiments include the use of high-speed digital imaging, infrared thermography, particle tracing, allowing high temporal and spatial resolution analysis of the flow evolution in the shock tube. The obtained results showed that the flow in the channel of the shock tube can be used for investigations for 20–25 ms, which significantly exceeds the time ranges previously used. It is possible to carry out experiments, including studies of heat-and-mass transfer associated with the flow around the channel walls, obstacles with initiation of pulsed discharges in the flow. Results of the investigation of the evolution of flow parameters are presented. It is shown that the use of machine learning and computer vision methods, including convolutional neural networks, enables effective processing and analysis of large datasets obtained during high-speed recording.