Computational Design Tool for the Synthesis and Optimization of Gel Formulations (SOGeF)

Award Information
Agency: Department of Defense
Branch: Army
Contract: W911NF-05-C-0101
Agency Tracking Number: A054-003-0310
Amount: $99,994.00
Phase: Phase I
Program: STTR
Solicitation Topic Code: A05-T003
Solicitation Number: N/A
Solicitation Year: 2005
Award Year: 2005
Award Start Date (Proposal Award Date): 2005-08-15
Award End Date (Contract End Date): 2006-02-11
Small Business Information
215 Wynn Dr., 5th Floor, Huntsville, AL, 35805
DUNS: 185169620
HUBZone Owned: N
Woman Owned: Y
Socially and Economically Disadvantaged: N
Principal Investigator
 Roberto Di Salvo
 Group Leader
 (256) 726-4800
Business Contact
 Ashok Singhal
Title: President
Phone: (256) 726-4800
Research Institution
 Norma Rubio
 University Heights
Newark, NJ, 07102
 (973) 596-6053
 Nonprofit college or university
Gel propulsion systems combine the best characteristics of solid and liquid propellants. The gel system stores like solid propellant, but flows like a liquid when pressurized, enabling throttle and restart capability similar to liquid propellants. An enabling technology for the further advancement of gelled propulsion is the development of tools to render the development of propellant formulations more systematic. Even today, the development of a new gel formulation is more an art than a science. Propellant chemists use their experience to prepare new formulations and through a process of trial-and-error, attempt to optimize the result. CFDRC, together with an unprecedented group of scientists from some of the most prestigious universities, proposes to develop an innovative computational design tool for the synthesis and optimization of gel formulations (SOGeF). Employing an ab initio approach, this team will develop a model for gel propellants that will accurately predict yield stress, syneresis, shear-thinning behavior, density, vapor pressure, surface tension in air and within metal manifolds, and aging behavior such as the loss of yield point, settling of solid additives, and the increase in syneresis with time. Inputs to this model will be physical and chemical properties of the liquid phase, the gellant, surfactants or crosslinkers, and/or solid performance enhancers.

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

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