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Nonlinear Phased Array System for Detection/Imaging of fatigue damage precursors and assessment of remaining useful life

Award Information
Agency: Department of Defense
Branch: Air Force
Contract: FA8649-20-P-0594
Agency Tracking Number: FX20A-TCSO1-0120
Amount: $50,000.00
Phase: Phase I
Program: STTR
Solicitation Topic Code: AF20A-TCSO1
Solicitation Number: X20.A
Solicitation Year: 2020
Award Year: 2020
Award Start Date (Proposal Award Date): 2020-03-06
Award End Date (Contract End Date): 2020-06-04
Small Business Information
807 Nancy Dr
Murray, KY 42071-2789
United States
DUNS: 116676076
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Cristina Bunget
 (864) 498-3794
Business Contact
 Stanley Henley
Title: Damascus49
Phone: (270) 978-4661
Research Institution
 Murray State University
 George Bunget
102 Curris Center
MURRAY, KY 42071-3369
United States

 (919) 428-0554
 Nonprofit College or University

Despite decades of experimental and theoretical studies cyclic fatigue failure remains one of the most critical challenges for engineering as it can occur without any indication of impending failure. More than half of mechanical in service failures are due to cyclic fatigue resulting in unanticipated and significant costs. Metallurgical Acoustic Research Solutions, LLC (MARS, LLC) in collaboration with Murray State University propose to use the recent development of a nonlinear ultrasonic phased array (NLPA) system based on diffuse field analysis with the major objectives of imaging the accumulation of fatigue damage precursors and quantifying the remaining useful life for inspected metallic and other solid materials by using degradation models. Our procedure is based on the later portion of the ultrasonic waveforms, referred to as diffuse field, which contains information of microstructural features within the bulk of the material that scatter the propagating ultrasound. We observed that nonlinear nano- and micro-scale features such as crystal dislocations, plastic shear bands, and microvoids shift spectral energy into subharmonics and higher harmonics and we optimized empirically nonlinear metrics that are highly sensitive to this energy transfer.

* Information listed above is at the time of submission. *

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