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The Behavior within Minimum Signature Propellants during Impact IM Tests

Award Information
Agency: Department of Defense
Branch: Army
Contract: W31P4Q-12-C-0143
Agency Tracking Number: A2-4615
Amount: $365,000.00
Phase: Phase II
Program: SBIR
Solicitation Topic Code: A09-128
Solicitation Number: 2009.3
Timeline
Solicitation Year: 2009
Award Year: 2012
Award Start Date (Proposal Award Date): 2012-07-26
Award End Date (Contract End Date): N/A
Small Business Information
145 Overhill Drive
Mooresville, NC -
United States
DUNS: 040707460
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 John Cogar
 Project Manager
 (704) 799-6944
 john.cogar@corvidtec.com
Business Contact
 David Robinson
Title: President
Phone: (704) 799-6944
Email: david.robinson@corvidtec.com
Research Institution
 Stub
Abstract

The primary objective of this effort is to further develop and validate a computational capability which can be used to assess propulsion systems for compliance with insensitive munitions (IM) requirements. Comprehensive testing to ascertain IM compliance for such systems is time consuming and expensive, but necessitated by safety, transportation, and deployment concerns. Sub-scale testing requirements and screening tools have been developed in an attempt to reduce the time and expense of deploying these systems. However, despite the clear advantages these approaches offer, the effects of scaling and full system configuration influences are extraordinarily difficult to predict and account for in these sub-scale testing scenarios. Thus, it is not always possible to directly ascertain compliance with IM requirements based on the results of these tests. A theoretically-comprehensive computational tool, once calibrated using laboratory-scale testing and validated against material performance databases, has the potential to predict the performance during IM compliance testing using sub-scale behavior and screening test results. Building upon currently existing sub-scale testing, providing an analytical understanding of the results through a computational framework and extrapolating that assessment to predict full-scale behavior would drastically reduce testing requirements and overall cost while accelerating the qualification of the new propellants and systems.

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

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