Creating new capabilities of existing experimental techniques (UVP, PIV) by using CFD and AI

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The overall goal of my project was to improve the experimental tools using data driven methods which I achieved successfully. The project had two parts: first part was to develop technology for pressure field measurement in fluid flows which was not possible by traditional techniques. This part of the project specifically focused on pressure field estimation in opaque Newtonian and non-Newtonian fluids based on UVP (Ultrasonic velocity profiler) and PIV (Particle image velocimetry) measurements. Three novel techniques were developed for milk and shear-thinning fluid flows behind the circular cylinder. Some of the research outcomes have been published as two articles in international journals in “Experiments in Fluids” and “Flow Measurements and Instrumentation” by reputed publishers Springer and Elsevier. The second part of the project was dedicated to the improvement of the temporal resolution of available high-speed cameras for time-resolved measurements and simultaneous measurement of pressure and temperature on same surface by sensitive paints. Data-driven techniques such as proper orthogonal decomposition and sensor selection method have been utilized for time-resolved measurement in supersonic jet flows. A novel technique has been developed based on sensor selection method for simultaneous measurement of pressure and temperature fields on airfoil. The result of my postdoc work will be published very soon in international Journals. The project also resulted in four international conference presentations.