Aerospace and Mechanical Engineering
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MURI: Predicting Turbulent Multi-Phase Flows


Professor Krishnan Mahesh is leading a diverse team of researchers from the U. Minnesota, Caltech, UC Santa Barbara, U. Iowa, U. Michigan, MIT, Johns Hopkins and Australian Maritime College on a project supported by the Office of Naval Research under the 2017 MURI Program.

The project, titled 'MURI: Predicting Turbulent Multi-Phase Flows with High Fidelity - A Physics-Based Approach', involves an integrated computational, theoretical and experimental program to develop physical models and computational methods for multiphase flows.

cavitation reference

The Project

The proposed research spans the multiple scales from the dynamics/thermodynamics of water molecules to the macroscopic behavior of turbulent bubbly and cavitating flows. Their overall vision is to develop a new predictive capability for turbulent cavitating flows, that significantly reduces/eliminates empiricism and uncertainty.

Current Reynolds-averaged methodologies are unable to reliably predict phenomena such as cavitation inception, sheet to cloud transition, bubble entrainment, and bubble-induced acoustics.  The proposed work will develop high-fidelity multiphase models, subgrid models and numerical methods which will allow applications involving these phenomena to be predicted with unprecedented fidelity. 

fins of fish and designsmodel cavitation bubbles in a cube

More information regarding the project including team members, publications, and contact information can be found on their website.

Last Modified: 2018-06-01 at 11:16:26 -- this is in International Standard Date and Time Notation