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Automated Coating Removal Tool (ACRT)

Award Information
Agency: Department of Defense
Branch: Air Force
Contract: FA8650-19-P-5011
Agency Tracking Number: F183-036-1074
Amount: $149,712.00
Phase: Phase I
Program: SBIR
Solicitation Topic Code: AF183-036
Solicitation Number: 18.3
Solicitation Year: 2018
Award Year: 2019
Award Start Date (Proposal Award Date): 2019-03-01
Award End Date (Contract End Date): 2020-03-01
Small Business Information
3741 Plaza Drive
Ann Arbor, MI 48108
United States
DUNS: 197187602
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Glenn Beach
 Senior Research Engineer
 (734) 668-2567
Business Contact
 Margaret Press
Phone: (734) 668-2567
Research Institution

The U.S. Air Force, as well as other military branches, must perform regular inspection and maintenance on their aircraft and other weapon systems to maintain fleet readiness and effectiveness in the face of aging aircraft populations and new high tech platforms with multilayer composite coatings. When a layer fails, proper repair requires the removal of the layers above the failed layer. Once the repair is complete, the coating must be properly rebuilt layer by layer to insure proper adhesion. Frequently, maintainers will remove the coating through a “racetrack� coating removal process that exposes each layer of the coating down to the layer to be repaired (in a manner similar to a step-sanded scarf composite repair). This repair technique has proven to be effective; however, manual application of this process is both time-consuming and prone to manual errors. The Air Force desires an automated or semi-automated coating removal capability to increase the quality and speed of “racetrack� coating removal. Cybernet proposes to design and build a compact, portable Automated Coating Removal Tool (ACRT) for Air Force maintainers by leveraging our experience with designing and developing robotic systems for a wide range of applications.

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

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