SBIR/STTR Research Award

Quality Control for Advanced Residual Stress Inducing Surface Treatment Processes

Award identifier 18f48834453a13b32efe08562c59b856a0c7ef741d5a7eb78a88f6d5d4624d38Awarding agency Department of Defense · Air Force

Award amount

$750,000

Program and phase

SBIR · Phase II

Award year

2008

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
LSP Technologies, Inc.
Proposal award date
2008-03-21
Contract end date
2010-07-21
UEI
ECLMZGD2BVN3
Solicitation number
2007.1
Topic code
AF071-104

Research abstract

Since the inception of laser peening, improved nondestructive test methods and sensors have been sought to ensure that laser peening produces the desired magnitude and depth profile of residual compressive stress in the part being treated. There are no reliable nondestructive evaluation (NDE) techniques generally applicable to any surface enhancement process to monitor residual stress, so it is important to have real-time process controls and monitors in place for these processes. Laser beam diagnostic sensors are used typically to verify that the correct laser pulse energy, temporal pulse width, and fluence spatial profile are delivered to the part for each laser spot applied. Test coupons, such as Almen strips, may be processed on a sampling basis, which provide a semi-quantitative measure of the effectiveness of laser peening. However, these techniques do not provide information measured from physical phenomena directly in the part during laser peening. Incorporating real-time process sensors, which monitor the laser beam interaction or the stress wave generated in the part on a spot-by-spot basis, will greatly reduce the probability of nonconforming process conditions. The real-time quality control system to be developed in this program will enable immediate corrective actions during processing, when needed.

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

33 SBIR/STTR records share this UEI (1995–2023). Reported award amounts total $16,534,695. Reported amounts are not federal obligations.

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

Agencies: Department of Defense

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.