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Early Warning Aircraft Damage Detection Using Electronic Laser Speckle Pattern…

Award Information

Agency:
Department of Defense
Branch:
Air Force
Award ID:
32213
Program Year/Program:
1997 / SBIR
Agency Tracking Number:
32213
Solicitation Year:
N/A
Solicitation Topic Code:
N/A
Solicitation Number:
N/A
Small Business Information
Cybernet Systems Corporation
3885 Research Park Drive Ann Arbor, MI 48108-2247
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Woman-Owned: Yes
Minority-Owned: No
HUBZone-Owned: No
 
Phase 2
Fiscal Year: 1997
Title: Early Warning Aircraft Damage Detection Using Electronic Laser Speckle Pattern Interferometry
Agency / Branch: DOD / USAF
Contract: N/A
Award Amount: $746,272.00
 

Abstract:

Cybernet Systems Corporation (CSC) proposes to develop an easy-to-use, fast, and nondestructive tool to detect areas of damage in aerospace vehicles. After extensive literature study and from our experience, this tool will be based on electronic laser speckle pattern interferometry/shearography techniques. These techniques can quickly and cost effectively find the locations of damage/flaws. They are non-contacting, fast, sensitive to wide a variety of flaws/damage, and they have a direct data connection with computer systems. Two techniques will be investigated, namely ESPI (electronic speckle pattern interferometry) and ESPS (electronic speckle pattern shearography). ESPI and ESPS measure the displacement and the derivative of the displacement respectively. Unlike ultrasonics and x-ray techniques. loading (stressing) is an essential part of nondestructive inspection (NDI) processes using ESPI and ESPS techniques. The loading provides a very important connection between the detected damage/flaw and the effect of the flaws/damage on the integrity and strength of the structures. The main goal of the proposed Phase I effort will outline a test plan of demonstrating the technology on a small structure. During the project, a compat optical head using advanced fiber optics technologies and a laser diode, loading methods, and related software would be developed to support this goal.

Principal Investigator:

Lou X., Chen, Ph.d.
3136682567

Business Contact:

Small Business Information at Submission:

Cybernet Systems Corp.
1919 Green Road Suite B-101 Ann Arbor, MI 48105

EIN/Tax ID: 430924383
DUNS: N/A
Number of Employees:
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No