High-Fidelity Modeling of Particulate Transport and Deposition in Extreme Environments
Abstract
The primary objective of this project is to develop the predictive modeling capabilities needed to understand and eventually mitigate erosion by particulate deposition. A recently advanced particle-laden flow solver by the PI will act as the foundation. This unique framework is capable of simulating O(108) particles undergoing particle-particle (e.g., collisions, van der Waals, and electrostatics) and fluid-particle (turbulence, shocks) interactions in high-speed reacting flows. Known particle size distributions at high altitude will be used in large-scale simulations of homogeneous and sheared turbulence with relevant Mach numbers, pressures, and temperatures. Particle agglomeration and size distribution will be quantified. This high-fidelity database will be used as inflow boundary conditions for jet impingement studies to quantify particulate residence time and morphology prior to deposition. The Ohio State University deposition model will be implemented to study particle rebound. The simulation database will then be used to develop reduced-order models based on the concept of Levy flights, a Markov process that describes particulate transport in a statistical manner.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Apr 24, 2019
- Source ID
- N000141912202
Entities
People
- Jesse Capecelatro
Organizations
- Board of Regents of the University of Michigan
- Office of Naval Research
- United States Navy