SBIR/STTR Research Award

Accurately Validated High-Speed Wear Prediction Code

Award identifier 25e54b7cb86043d84401310d206cf3f223bb9f86ddcc3589923cda10ed41ffd3Awarding agency Department of Defense · Air Force

Award amount

$744,829

Program and phase

SBIR · Phase II

Award year

2007

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
C K TECHNOLOGIES LLC
Proposal award date
2007-01-10
Contract end date
2009-01-10
UEI
LBCZT65WM4N5
Solicitation number
2005.1
Topic code
AF05-289

Research abstract

The technology resulting from this effort will provide a theoretical wear model which, although focused on predicting slipper surface wear associated with Air Force high-speed sleds, can be utilized with appropriate input modifications to predict wear in a range of mechanical devices where high-pressure and high-velocity surfaces are utilized. In addition, a high-speed, high-pressure pin-on-disk wear device will be fabricated, assembled, and validated for use in validating the basic wear model and for evaluating tribological material and/or coating systems.

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.

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.