Executive Summary : | Jet in cross flow is a complex problem with numerous applications in aerospace and other engineering disciplines. It involves various flow physics, including jet velocity ratio, jet orifice geometry, compressibility, single and multiphase flow, steady and pulsating jet, particulate laden jet, and more. The research proposal aims to use data-driven techniques to analyze the jet cross flow interaction, obtaining better understanding of spatio-temporal dynamics, optimizing practical configurations, and developing reduced order models for real-time control. The study will involve physical experiments and numerical computations, with two components: a compressed air jet deployed in a supersonic wind tunnel test section, and a seeded water jet in a water tank. The jet assembly will be mounted on a traverse and followed by a high-speed camera. Velocity field will be obtained using Particle Image Velocimetry. Numerical simulations of the flow problems will be performed using eddy resolving simulations of the Navier Stokes equations, and the PI has extensive experience in applying modal decomposition of unsteady flow fields using Proper Orthogonal Decomposition (POD). Dynamic Mode Decomposition (DMD) will be used to extract dynamically dominant modes, their growth/decay, and associated frequencies. Several state-of-the-art data-driven techniques will also be used in the study. This research aims to provide a better understanding of jet cross flow interactions, optimize practical configurations, and develop reduced order models for real-time control in aerospace applications. |