This paper describes a novel particle shift filtering method to study jets laden with particles by separating the 3D velocity field of the two phases. Multiphase jets laden with particles appear in many engineering and environmental processes. Typical examples are sprays containing liquid fuel drops in combustion processes, air jets laden with coal particles in a power plant, and the dispersion of harmful substances like soot and pollutants from steady exhaust flows or waste waters, among others. Distribution and mixing of particles/drops in these processes determine the efficiency of the engineering systems concerned but studies of particle-laden turbulent flows suggest that particle distribution is not uniform but preferential. In order to understand the mechanism of particle dispersion, the dispersed phase (particles/drops) needs to be separated from the ambient flow (tracer particles). A new technique is proposed that builds on previous work done by Kiger & Pan (2000) and Khalitov & Longmire (2002). The later work used a discrimination algorithm for two-phase 2D PIV where the tracer particles are differentiated from the dispersed phase based on size and brightness intensity. The present work expands on that technique and introduces a 3D velocity discrimination algorithm of two-phase flows for time resolved stereo PIV.

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