REACTION SYSTEMS, INC. — Department of Defense STTR Phase II: A16A-T001
REACTION SYSTEMS, INC. — STTR Phase II award from Department of Defense.
Phase II STTR prototype / development signal
- Phase II is where Department of Defense funds deeper R&D after feasibility. Incumbents with Phase II history are serious competitors on adjacent topics.
- Use this award as past-performance context and to map customer organizations for STRATFI/TACFI-style transition planning.
- Obligated amount $998,832 is consistent with substantial Phase II-scale effort; compare to related awards from the same agency.
- Topic code A16A-T001 links this award to a solicitation family — search the same topic stem for incumbents and recompete timing.
- Amount
- $998,832
- Agency
- Department of Defense · Army
- Program / Phase
- STTR · Phase II
- Topic
- A16A-T001
- Solicitation
- 2016.0
- NAICS
- —
- Place of performance
- CO
- Period
- 2017-12-08 → 2018-12-08
Description
The Army is very interested in accurate simulations of combustion in devices such as rockets and gas turbines, Otto and Diesel cycle IC engines, scramjet engines, rotating detonation engines, etc.The performance of weapons systems using these devices directly affect casualty/loss rates and the ability to win wars as well as procurement decisions and program costs. Accurate and computationally-affordable chemically reacting Computational Fluid Dynamics (CFD) is needed to design new, smaller, lighter, more efficient and less costly combustion systems and assess their operability before encountering costly problems.Unfortunately, accurate modeling of turbulent combustion generally requires sophisticated and computationally expensive kinetic mechanisms and turbulence models to capture important turbulence-chemistry interactions.Happily, there is a new, efficient turbulent combustion modeling approach that can not only accurately capture the effect of turbulence on combustion heat release, but is also insensitive to the size of the chemical kinetic mechanism employed.This combustion model holds great promise in not only improving reacting flow simulation efficiency and accuracy, but also helping us understand the nature of the turbulence-chemistry interaction.Success in this effort will allow this approach to be used on a wide variety of turbulent combustion problems and is expected to be commercially valuable.