SBIR/STTR Research Award

Landing Gear Fatigue Damage Detection and Tracking Using MWM-Arrays

Award identifier 2083269fb9f016a7acb938f9352d8cd50d6657e8db1c43769382b895778360f9Awarding agency Department of Defense · Air Force

Award amount

$742,939

Program and phase

SBIR · Phase II

Award year

2013

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
JENTEK SENSORS, INC.
Proposal award date
2013-04-08
Contract end date
2014-04-07
UEI
QEZ7G6S28R31
Solicitation number
2011.2
Topic code
AF112-212

Research abstract

ABSTRACT: The high-strength steels (HSS) used for landing gear components have a relatively low fracture toughness, and, therefore, once a crack is formed in a HSS component, it may grow rapidly, potentially leading to catastrophic failure of the part and potential loss of the aircraft. This SBIR program will demonstrate the capability of JENTEK Sensors'substantially improved MWM-Array flexible eddy current technology to detect early stage fatigue damage in high-strength steels used for landing gear. In Phase II, JENTEK will implement enhancements in the measurement and data processing procedures, scanning apparatus, and most importantly, a new GridStation instrument that is expected to dramatically improve early fatigue damage detection capability. Fatigue tests will be performed on HSS coupons and subcomponents to demonstrate the MWM-Array's capability to image fatigue damage associated permeability changes for HSS. Early fatigue damage identified by MWM-Array imaging will be verified using methods such as scanning electron microscopy and fractography. A scanning fixture will be adapted for MWM-Array imaging of a landing gear component to support demonstration on an actual landing gear component or representative subcomponent. Coupon and subcomponent tests will include selected features such as shot peening, coatings and geometric complexity to address specific Air Force needs. BENEFIT: Landing gear is a critical, non-redundant system in military and commercial aircraft. The capability to inspect for early fatigue damage with the MWM-Array technology is expected to enable reduction in inspection frequency, increased margins of operational safety, transitioning to a condition-based maintenance paradigm and the corresponding life extension of landing gear components. These benefits could be achieved on both military and commercial landing gear and any other application with high value HSS components. The technologies developed will be readily adaptable to rotorcraft, ship, and ground vehicle drive trains, and to ferrous steel elements in commercial aircraft and other critical structures. Because maintenance and support tasks account for the largest portion of total ownership costs, significant savings can be realized over the lifecycle of these systems with condition-based maintenance.

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

104 SBIR/STTR records share this UEI (1994–2022). Reported award amounts total $40,039,479. 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, Department of Transportation, Department of Agriculture

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.