Phase-Shifting Interferometric Strained-Stress Analyzer

Award Information
Agency: Department of Defense
Branch: Navy
Contract: N68335-11-C-0017
Agency Tracking Number: N102-136-0239
Amount: $79,998.00
Phase: Phase I
Program: SBIR
Awards Year: 2011
Solicitation Year: 2010
Solicitation Topic Code: N102-136
Solicitation Number: 2010.2
Small Business Information
Physical Optics Corporation
Photonic Systems Division, 20600 Gramercy Place, Bldg. 100, Torrance, CA, -
DUNS: 153865951
HUBZone Owned: N
Woman Owned: Y
Socially and Economically Disadvantaged: N
Principal Investigator
 Shilpa Pradhan
 Team Leader
 (310) 320-3088
 EOSProposals@poc.com
Business Contact
 Gordon Drew
Title: Chief Financial Officer
Phone: (310) 320-3088
Email: gedrew@poc.com
Research Institution
N/A
Abstract
To address the Navy"s need for a nondestructive inspection tool to measure strained stresses in metallic components, Physical Optics Corporation (POC) proposes to develop a new nondestructive Phase-Shifting Interferometric Strained-Stress Analyzer (PISSA) system based on absolute optical phase measurements with an electronic speckle pattern interferometer (ESPI). This system can nondestructively and quantitatively measure the state and magnitude of a sustained stress present in a primary aircraft structure and on complex surfaces to assess susceptibility to environmentally assisted cracking in structural components. The PISSA system will improve flight safety and reduce inspection cycles for aircraft during fleet operations and directly addresses the Navy need for a nondestructive depot-level inspection tool. In Phase I, POC will demonstrate PISSA system feasibility by constructing and testing a laboratory prototype and providing diagnostics to determine the potential for crack initiation resulting from hydrogen embrittlement. In Phase II, POC will refine the system design and develop and demonstrate a full-scale PISSA system that can be effectively implemented in an environment equivalent to that of Fleet Readiness Centers (FRCs) without significantly disrupting the workflow or degrading the reliability of the data.

* information listed above is at the time of submission.

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