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Improving the Life Expectancy of High Voltage Components Using Nanocomposite Surface Solutions

Award Information
Agency: Department of Defense
Branch: Navy
Contract: N00014-14-P-1236
Agency Tracking Number: N14A-025-0085
Amount: $79,999.00
Phase: Phase I
Program: STTR
Solicitation Topic Code: N14A-T025
Solicitation Number: 2014.A
Timeline
Solicitation Year: 2014
Award Year: 2014
Award Start Date (Proposal Award Date): 2014-08-04
Award End Date (Contract End Date): 2015-06-04
Small Business Information
10529 Pierson Circle
Westminster, CO 80021-3523
United States
DUNS: 023437711
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Paul Lichty
 CEO
 (303) 514-7501
 plichty@pneumaticoat.com
Business Contact
 David King
Title: CTO
Phone: (720) 980-5930
Email: dking@pneumaticoat.com
Research Institution
 Colorado State University
 Arun Kota
 
308 Scott Bioengineering Bldg
Fort Collins, CO 80523-1373
United States

 (970) 492-4825
 Nonprofit College or University
Abstract

Moisture buildup on high voltage antenna components can cause electrical shorts that damage system parts and produce communication noise. Not only are significant costs incurred repairing and replacing damaged components, but critical operations communications can be disrupted by these electrical discharges. This STTR proposal will apply hydrophobic and superhydrophobic coatings to antenna components which will eliminate moisture buildup on the surface of the materials and prevent damage. Two different coating compositions will be investigated; a gas phase silane coating for covalently bonded hydrophobic coatings and a spray coated nano-particle coating for superhydrophobic properties. Both coatings will be tested against a control for changes in breakdown voltage under dry and wet conditions. Additionally, the coatings will be tested for durability through abrasion testing. Using these test metrics the coating methods will be optimized to produce the highest quality and highest durability coating which will be selected for large scale testing. The production methods and performance data will be used to help quantify large scale production pricing and customer value proposition.

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

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