SBIR/STTR Research Award

Advanced Physics Modeling for Gas Turbine Particulate Ingestion

Award identifier 8522efd80e6c470993e77afae1445b7adc78a1d1f9149d5fe2ac3b08a9d6dc6eAwarding agency Department of Defense · Navy

Award amount

$239,994

Program and phase

STTR · Phase I

Award year

2023

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Award details

Awarding agency
Department of Defense
Branch
Navy
Recipient company
COMBUSTION RESEARCH & FLOW TECHNOLOGY INC
Proposal award date
2023-06-05
Contract end date
2024-08-12
UEI
XGYZK5MHNJZ8
Solicitation number
23.A
Topic code
N23A-T003

Research abstract

Ingestion of silicate particles into aircraft gas turbine (GT) engines remains a serious hazard to both commercial and military aircraft. Helicopters and low-flying fixed-wing aircraft in desert environments are exposed to airborne sand particulate. Both commercial and military aircraft can be exposed to runway dust as well as high-altitude volcanic ash. These silicate particulates present a hazard to aircraft, particularly if ingested into GT engines where they can block cooling passages and cause structural and performance degradation when deposited on internals either in solid or molten form. It is essential that mitigation strategies be developed to minimize the impact of particulate ingestion on engine integrity. To do this in an efficient and economical way, computational tools are required to allow prediction of particle transport and behavior in engine airflow passages, including high-temperature transition to a molten state and deposition on engine surfaces. CRAFT Tech has developed an advanced simulation methodology for modeling the transport and deposition of solid and molten silicate-based particulate (e.g. sand, ash, road dust) in a Reactive Solids Tool (RST), which has been validated for silicate deposition up to 1600K temperatures. The RST can track millions of particles of varying size and material through a complex geometry, predict local regions susceptible to solid, molten or semi-molten particle deposition, and report the state (solid/molten) and time-dependent deposit temperature and thickness. Unique features of the RST include a default silicate material database, and a state-of-the-art molten particle deposition model calibrated to gas-phase temperatures up to 1700K. The RST is fully functional for parallel-computing with either RANS or LES solvers and can be used for production engineering calculations to predict the potential for solid/molten particle deposits in complex high-temperature flows. Significant deposit buildup on a surface presents additional modeling challenges. First, the presence of deposits must be accounted for by modifying the computational grid to replicate the flow blockage produced by the deposit. A second challenge is properly accounting for the role of surface temperature on deposition. The objective of the proposed effort is to extend the RST to account for the effects of deposit accumulation on flowfield blockage and thermal interaction with the engine structure. CRAFT Tech will partner with the Ohio State University to extend the RST modeling capabilities with mesh-morphing linked to the deposit thickness, coupling of a conjugate heat transfer model accounting for deposit buildup, and extension of the RST deposition model to account for surface temperature and slag deposit properties. These enhancements will provide OEMÆs and design/analysis personnel the capability to accurately characterize the effects of deposit buildup on gas turbine performance, maintenance, and structural damage.

Technology keywords

Not reported

Other awards by this recipient

Verified by the same UEI. These are other public SBIR/STTR award pages, not a merged company record.

Awards with the same topic code

Verified by an exact topic code match. This is not a text-similarity match.

Research funding history

303 SBIR/STTR records share this UEI (1995–2025). Reported award amounts total $121,181,328. Reported amounts are not federal obligations.

Phases: Phase I, Phase II, Phase II – Direct to Phase II

Agencies: Department of Defense, National Aeronautics and Space Administration, Department of Energy, National Science Foundation

Agency intelligence

Department of Defense

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