SBIR/STTR Research Award
High Fidelity Missile Hardbody Plume Interaction Modeling
Award amount
$99,877Program and phase
SBIR · Phase IAward year
2008Award details
- Awarding agency
- Department of Defense
- Branch
- Missile Defense Agency
- Recipient company
- MILSYS TECHNOLOGIES, LLC
- Proposal award date
- 2008-02-13
- Contract end date
- 2009-08-13
- UEI
- Not reported
- Solicitation number
- 2007.3
- Topic code
- MDA07-018
Research abstract
This project will demonstrate the coupled use of two High-Fidelity fluid dynamic solvers, the AVUS CFD code and the SOCRATES-P DSMC code, to simulate propulsive missile flowfield characteristics from launch to the intercept point. The demonstration case, under this proposed Phase I effort, will concentrate on integrating several advanced simulation technologies for modeling missile plume and hardbody flowfield/thermal response interactions. This effort will accurately model combined plume/hardbody IR signatures with a specific emphasis on plume-related events at high altitudes. The SOCRATES-P Direct Simulation Monte Carlo (DSMC) code for flowfields above 90 km will be coupled to existing government owned/developed models for six-degree-of-freedom trajectory dynamics, material thermal response, aeroheating, and aerodynamics to perform a complete simulation package capable of including all pertinent physical effects related to combined missile hardbody/plume IR signatures. Needed phenomenology, code requirements, and program design will be emphasized in Phase I, with subsequent code development and validation being the focus of Phase II. In the continuing Phase II effort, these fluid modules will then be integrated into the Plume Object Environment Model (POEM) toolkit, currently in development under a separate MDA sponsored project.
Technology keywords
Not reported
Awards with the same topic code
Verified by an exact topic code match. This is not a text-similarity match.
- High Fidelity Missile Hardbody Plume Interaction Modeling
- High Fidelity Missile Hardbody Plume Interaction Modeling