SBIR/STTR Research Award

Computational Modeling of Coupled Acoustic and Combustion Phenomena Inherent to Gas Turbine Engines

Award identifier 08781b63c58bf1519c475e5e790476415ed70ca40296a19109503603b7c83ab0Awarding agency Department of Defense · Air Force

Award amount

$149,971

Program and phase

SBIR · Phase I

Award year

2013

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Award details

Awarding agency
Department of Defense
Branch
Air Force
Recipient company
Flow Modeling and Simulation
Proposal award date
2013-05-14
Contract end date
2014-02-13
UEI
Not reported
Solicitation number
2013.1
Topic code
AF131-181

Research abstract

ABSTRACT: Flow Modeling and Simulation, LLC (FMS), proposes to develop a computational software tool, herein designated AUG3D, that is intended to provide physics-based, multi-level, validated computational simulations of turbine engine component flow fields, particularly those associated with thrust augmentors, i.e., afterburners. This tool will be ideally suited for closely integrating physical testing and design of gas turbine engines, especially for applications involving designs that employ augmentors. The software tool will be will be designed to support testing through test matrix optimization and direct test support, e.g., selection and placement of instrumentation, thereby improving test efficiency and reducing test cost. AUG3D will be comprised of comprehensive modules capable of accurately capturing spatial and temporal changes in physical parameters critical to augmentor design. A particular focus of the proposed tool is on flow fields resulting from engine augmentors that produce combustion instabilities. BENEFIT: Most aerospace technology development programs utilize computational simulation tools, and in particular CFD codes, in conjunction with major experimental/testing efforts. There is a very strong need for high fidelity computational analyses to (1) assist in pre-test planning, (2) design and improve ground test facilities and test techniques, (3) interpret experimental data, (4) provide insight to flow regions where experimental diagnostics are not located, (5) extrapolate results from ground tests to flight conditions, (6) help identify the source of problems, including failures of experiments, and (7) optimize testing to reduce cost and shorten test time. The results of using AUG3D in making such evaluations in the AEDC test work-flow will be carefully documented to help quantify where improvements occur and efficiencies are gained, and to provide guidelines for future users to make the best choices in code settings relative to how the new tool is being used in the test environment.

Technology keywords

Not reported

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Agency intelligence

Department of Defense

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