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Extremely Insensitive Reactive Liner

Award Information
Agency: Department of Defense
Branch: Navy
Contract: N68936-11-C-0010
Agency Tracking Number: N103-199-0020
Amount: $79,959.00
Phase: Phase I
Program: SBIR
Solicitation Topic Code: N103-199
Solicitation Number: 2010.3
Timeline
Solicitation Year: 2010
Award Year: 2011
Award Start Date (Proposal Award Date): 2010-12-20
Award End Date (Contract End Date): N/A
Small Business Information
1413 Brandi Lane
Round Rock, TX -
United States
DUNS: 601218253
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Dennis Wilson
 CEO
 (512) 380-1992
 dennis.wilson@empi-inc.com
Business Contact
 Richard Johnson
Title: Project Engineer
Phone: (512) 380-1992
Email: richard.johnson@empi-inc.com
Research Institution
 Stub
Abstract

The program goal is to develop, test and evaluate a group of extremely insensitive reactive materials (RM) that can be used in selectable output warheads. This novel class of RMs is based upon our current family of aluminized perfluoropolyether, non-ideal explosives (APEX). APEX compositions are shock initiated, but unlike conventional HEs, the reaction rate and duration can be specifically tailored by varying the shock strength and duration. The sensitivity of the new RMs will be controlled through the use of novel fluorine-oxygen molecules with different shock dissociation levels and reactive metals with different particle sizes and activation energies. A key advantage of these RMs is their high energy-density and gas production, which is desirable for enhanced target damage. The program contains both fundamental experiments, modeling and numerical simulations to help explain and interpret the data and understand the underlying chemistry and physics. After fundamental experimentation and screening, a few outstanding RMs will be selected for performance testing with different shock initiation schemes. The work plan contains aggressive goals and multiple tasks, made possible by leveraging previous results (in technically aligned programs), existing diagnostics and data to efficiently screen innovative RMs.

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

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