A computational tool for spray modeling using Lagrangian droplet tracking in a homogeneous flow model

Tuan Le Pham, Purdue University

Abstract

A numerical tool is developed using a discrete Lagrangian droplet tracking mechanism and a homogeneous flow model. Each individual droplet is tracked using droplet dynamics, and the tool also models droplet deformation, binary droplet collisions and secondary atomization. The two-phase flow is treated as a single fluid by deriving the Navier-Stokes equations for a pseudo-fluid. The code is used to predict spray structure emerging from orifice injectors such as diesel engines and rocket motors. Prediction includes drop size distribution throughout the spray. Comparisons have been made with available experimental data to ascertain the code's accuracy, limitations and potential. The code has also been developed for parallel execution over a networked computing cluster. ^

Degree

Ph.D.

Advisors

Major Professor: Stephen D. Heister, Purdue University.

Subject Area

Engineering, Aerospace|Engineering, Mechanical

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