SBIR/STTR Research Award

Electron Beam/Physical Vapor Deposition (EB/PVD) Coating Process Mapping for Complex Shapes

Award identifier 9561e61833109b04794409ee6ea9e42e608c4c9fe78de785657b5fb4262b7a27Awarding agency Department of Defense · Air Force

Award amount

$99,864

Program and phase

SBIR · Phase I

Award year

2010

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
Air Force
Recipient company
Directed Vapor Technologies International, Inc.
Proposal award date
2010-02-26
Contract end date
2010-12-08
UEI
F5KSRCP5R8D3
Solicitation number
2009.3
Topic code
AF093-168

Research abstract

Thermal barrier coating are currently employed to thermally protect gas turbine engine components from high gas inlet temperatures to moderately improve the performance (fuel efficiency and thrust) of these engines. Enhanced benefits are envisioned in future TBC systems provided TBC durability can be reliably improved. One approach achieve more reliable TBCs is the development of non destructive methodologies to determine processing / structure / property relationships for electron beam-physical vapor deposited (EB-PVD) thermal barrier coatings (TBC) in both an ex-situ and in-situ manner. This would enable the creation of comprehensive process maps that could be used along with real time feedback during manufacturing to greatly enhance the capabilities of an EB-PVD system to reliably produce high quality TBC coatings. To achieve this, Directed Vapor Technologies International (DVTI) and ReliaCoat Technologies (RCT) will investigate the use of a curvature measurement technique to non-destructively determine critical, design related mechanical properties of EB-PVD deposited coatings and link these properties to processing parameters and coating performance. In Phase I, the apparatus and relevant analysis will be addressed. In Phase II, the applicability of the approach for in-situ measurements will be explored along with a utility of the apparatus in process development and optimization. BENEFIT: This research is anticipated to establish advanced process maps for EB-PVD based TBC processing techniques which can be used in conjunction with novel ex-situ and in-situ curvature measurement techniques to enable improved TBC properties to establish more optimal conditions for EB-PVD processing which could be applied with tighter lifetime distributions. These developments significantly increase the potential for TBC coatings to become prime reliant which would result in much greater gas turbine engine performance. This would help enable the realization of advanced gas turbine engine designs while leading to several percent thrust improvement or specific fuel consumption reduction for current turbine engines. These advances will not only benefit military engines, but also commercial and industrial gas turbines. In addition, the innovative approach proposed here will reduce the time and expense for refurbishing and repairing blades during engine overhauls, thus improving military readiness and reducing the cost of maintaining commercial aircraft.

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

53 SBIR/STTR records share this UEI (2002–2024). Reported award amounts total $22,949,232. Reported amounts are not federal obligations.

Phases: Phase I, Phase II

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

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.