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New Paradigms in High Pressure Combustion Dynamics Prediction and Control

Award Information
Agency: Department of Defense
Branch: Air Force
Contract: FA9300-13-M-1501
Agency Tracking Number: F12B-T15-0074
Amount: $149,942.00
Phase: Phase I
Program: STTR
Solicitation Topic Code: AF12-BT15
Solicitation Number: 2012.B
Solicitation Year: 2012
Award Year: 2013
Award Start Date (Proposal Award Date): 2013-04-09
Award End Date (Contract End Date): 2014-01-09
Small Business Information
2629 Townsgate Road Suite 105
Westlake Village, CA -
United States
DUNS: 005100560
HUBZone Owned: No
Woman Owned: Yes
Socially and Economically Disadvantaged: Yes
Principal Investigator
 Ramakanth Munipalli
 Senior Computational Physicist
 (805) 371-7500
Business Contact
 Vijaya Shankar
Title: Vice President
Phone: (805) 371-7556
Research Institution
 Brown University
 Jan Hesthaven
182 George Street
Providence, RI 02912-
United States

 (401) 863-2115
 Nonprofit College or University

ABSTRACT: Stability phenomena that are of vital interest in liquid rocket motor development involve a confluence of diverse physics and interactions across many system components. Any comprehensive, self-consistent numerical model is burdened by a very large computational mesh, stiff unsteady processes which limit permissible time step, and the need to perform tedious, repeated calculations for a broad parametric range. Many simplifications are made to the governing equations based on a-posteriori analysis of these phenomena. Predictive models seem to rely on very large simulations and advanced hardware. Reduced Basis Methods (RBM) have grown in usage during the past decade, as promising new techniques in making very large scale simulations more accessible. These methods create models with far fewer unknown quantities than the original system, by generating"proper"fundamental solutions and their Galerkin projections, while guaranteeing accuracy and computational efficiency. The reduced system involves no new assumptions or simplifications. We will build here a mathematical foundation for efficient RBMs in liquid rocket combustion dynamics. RBM will be extended based on theoretical and empirical insights, and appropriate mathematical and software paradigms will be evolved. HyPerComp will team with the applied mathematics department at Brown University and the computational combustion lab at Georgia Tech. BENEFIT: This work has direct relevance to major ongoing liquid rocket engine programs where stability studies are overwhelmed by the computational problem size, and can benefit from improvements in methodology. The models and methodologies developed here are also directly relevant to solid propellant rockets and gas turbine combustors. The general scope of the methods developed here is indeed rather vast. The reduced basis method has applications in numerous markets: automotive, nuclear, image processing, and atmospheric science to name a few. The project is designed such that success in each technology goal can in itself represent a significant contribution to the state of the art.

* Information listed above is at the time of submission. *

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