3D Corrosion Mapping System for Complex Curved Surfaces

Award Information
Agency: Department of Defense
Branch: Navy
Contract: N68335-09-C-0449
Agency Tracking Number: N092-093-0881
Amount: $149,719.00
Phase: Phase I
Program: SBIR
Awards Year: 2009
Solicitation Year: 2009
Solicitation Topic Code: N092-093
Solicitation Number: 2009.2
Small Business Information
Barron Associates, Inc.
1410 Sachem Place, Suite 202, Charlottesville, VA, 22901
DUNS: 120839477
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Jason Burkholder
 Principal Research Scient
 (434) 973-1215
 burkholder@bainet.com
Business Contact
 Connie Hoover
Title: General Manager
Phone: (434) 973-1215
Email: barron@bainet.com
Research Institution
N/A
Abstract
SBIR Topic N092-093 clearly describes the roadblocks that must be overcome in order to provide 3D surface mapping of corrosion on complex curved surfaces. Barron Associates and Southwest Research Institute propose innovations in sensing, control, and signal processing that will serve as the foundation for a new 3D corrosion mapping system (3DCMS). The cornerstone of the 3DCMS is the integrated optical module (IOM). The IOM is a new high-resolution sensor architecture featuring an extremely compact head unit suitable for inspection of small diameter interior cylinders and exterior surfaces with a variety of fillets and transition radii. Accompanying designs of the intelligent feedback control system and 3D image registration techniques are of nearly equal importance and also require significant innovation. The actuation system will be based on commercially available robotic manipulator technology in order facilitate prototype demonstration. In order to fully satisfy the requirements of mapping an unknown surface of complex geometry without models of the nominal shape while minimizing operator interventions, an adaptive-autonomous 3D path planning algorithm will be integrated in the design. The Phase I effort will focus on design of the IOM and prediction of the feasible performance of the feedback control system and image registration algorithm.

* information listed above is at the time of submission.

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