Multilayer Thermally Induced Curl Fiber

Award Information
Agency:
Department of Defense
Branch
Army
Amount:
$499,867.00
Award Year:
2013
Program:
SBIR
Phase:
Phase II
Contract:
W91CRB-13-C-0039
Award Id:
n/a
Agency Tracking Number:
A2-5334
Solicitation Year:
2011
Solicitation Topic Code:
A11-135
Solicitation Number:
2011.3
Small Business Information
Photonic Systems Division, 1845 W. 205th Street, Torrance, CA, -
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
Y
Duns:
153865951
Principal Investigator:
Alex Kolessov
Group Leader
(310) 320-3088
psproposals@poc.com
Business Contact:
Gordon Drew
Chief Financial Officer
(310) 320-3088
gedrew@poc.com
Research Institute:
n/a
Abstract
To address the Army's need for a high-performance, climate-adaptive thermal insulation material, Physical Optics Corporation (POC) developed a new Multilayer Thermally Induced Curl (MULTIC) fiber. The MULTIC technology offers the Army an"all-in-one"protective garment solution that responds instantly to the thermal protection needs of the Soldier, mitigating the need to carry additional layers of clothing and thus reducing the weight and space requirements of the carry load. Thermal adaptability is achieved by using"smart"polymer fibers that can be integrated in nonwoven padding mats for use in sleeping bags and blankets, or for outerwear garments such as fleece jackets and vests. MULTIC-based materials are proven to increase loft at low ambient temperatures, adjusting the amount of thermal insulation according to the current weather conditions. The new fibers can be inexpensively produced using conventional manufacturing techniques from commercially available polymers. In Phase I, POC demonstrated the feasibility of MULTIC adaptive fibers by producing an experimental fiber spinning apparatus and manufacturing and testing samples of thermally responsive fibers. In Phase II, POC plans to manufacture, in cooperation with our protective clothing industry partner, functional garment components and conduct product qualification through thermal performance testing with full-size models.

* information listed above is at the time of submission.

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