SBIR/STTR Research Award

TURBINE ENGINE COMPONENT DETERIORATION MODEL

Award identifier 8d90eef080b0733de463e51d62a507d50625739b38e3ed84b028999e225fd9d1Awarding agency Department of Defense · Navy

Award amount

$50,000

Program and phase

SBIR · Phase I

Award year

1990

Explore This Research Award in CaptureIQ

Research the technology, evaluate the recipient and agency, identify related opportunities, and explore potential follow-on work with CaptureIQ.

Award details

Awarding agency
Department of Defense
Branch
Navy
Recipient company
DYNAFLOW, INC.
Proposal award date
Not reported
Contract end date
Not reported
UEI
X2KFLRCASMG7
Solicitation number
Not reported
Topic code
Not reported

Research abstract

THE EXISTING GASTURBINE PERFORMANCE DETERIORATION SIMULATION METHODS ARE EITHER TOO SIMPLE OR TOO SOPHISTICATED TO BE OF GENERAL USE. GAS TURBINE DETERIORATION MODELS BASED ON STAGE CHARACTERISTICS, AND STAGE STACKING METHODS ARE PROPOSED TO ALLEVIATE THIS DRAWBACK. THE STAGE CHARACTERISTICS WILL BE FIRST DEVELOPED FOR THE CASE WHEN THE STAGES ARE NOT DETERIORATED, AND WILL BE STACKED TOGETHER TO DEVELOP BASELINE COMPONENT PERFORMANCE MAP. THEN USING FIRST PRINCIPLES, THE EFFECTS OF DIFFERENT TYPES OF FUALTS, VIZ., A) EROSION, B) FOULING, C) FOD, D) TIP CLEARANCE E) WATER INGESTION WILL BE SIMULATED TO REFLECT THE EFFECTS OF THESE ON THE STAGE PERFORMANCE CHARACTERISTICS.THE RELATIVE EFFECTS OF THESE FAULTS ARE PROPOSED TO BE STUDIED FIRST ON THE STAGE OR SUBCOMPONENT LEVEL. THEN, USING STAGE-STACKING PROCEDURE, THE EFFECT OF EACH OF THE ABOVE FAULTS AND A COMBINATION OF THESE WOULD BE STUDIED IN DETAIL. DUE TO THE LARGE AMOUNT OF DATA THAT NEED TO BE HANDELED IN SUCH A COMPARITIVE STUDY, A CORRELATION PROCEDURE WILL BE DEVELOPED, IN WHICH THE RELATIVE PERFORMANCE OF ALL THE STAGES COULD BE REPRESENTED ALONG WITH THE OVERALL COMPONENT PERFORMANCE. A COMPONENT LEVEL COMPUTER PROGRAM CAPABLE OF SIMULATING DIFFERENT TYPES OF FAULTS WOULD BE DEVELOPED IN PHASE I. THIS WOULD BE USED IN PHASE II, WHERE DIFFERENT COMPONENT PERFORMANCE PARAMETERS DEPENDING ON THE CYCLE WOULD BE LINKED USING COMPRESSORTURBINE MATCHING CALCULATIONS, TO SEEK THE EFFECT OF THE FAULT OF A COMPONENT ON THE OVERALL ENGINE PARAMETERS, WHICH IS THE FINAL GOAL OF THE PROJECT. AN IMPORTANT FEATURE OF THE PROPOSED TECHNIQUE IS THAT IT COULD BE USED FOR EXISTING AS WELL AS NEW ENGINE CYCLES. THE PROPOSED PROCEDURE ALSO HAS ITS ATTRACTIVENESS FROM QUANTIFICATIONOF THE EFFECTS OF FAULT AS WELL AS IN THE DEVELOPMENT OF FAULT MATRICES FOR DIFFERENT TYPES OF FAULT AND ENGINE COMBINATIONS.

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.

Research funding history

73 SBIR/STTR records share this UEI (1990–2024). Reported award amounts total $16,579,394. Reported amounts are not federal obligations.

Phases: Phase I, Phase II

Agencies: Department of Defense, Department of Energy, Department of Health and Human Services, National Science Foundation, Department of Commerce, National Aeronautics and Space Administration

Agency intelligence

Department of Defense

Back to SBIR/STTR Research Awards

Don't take our word for it. Ask AI about RFPCapture.

See what leading AI assistants have to say about RFPCapture and CaptureIQ.

Gemini opens without a prefilled question. The question is copied to your clipboard when the button works. You can also copy it here:

What is RFPCapture.com and its CaptureIQ platform from Smart Logic AI? How does it help federal contractors discover opportunities, evaluate bid/no-bid decisions, research government contracts, and prepare proposals? How does it compare with other federal capture platforms? Use independent sources where available.