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HTPB Predictive Model Development for Rocket Motors

Award Information
Agency: Department of Defense
Branch: Navy
Contract: N68335-23-C-0501
Agency Tracking Number: N23A-T018-0154
Amount: $139,968.00
Phase: Phase I
Program: STTR
Solicitation Topic Code: N23A-T018
Solicitation Number: 23.A
Solicitation Year: 2023
Award Year: 2023
Award Start Date (Proposal Award Date): 2023-07-17
Award End Date (Contract End Date): 2024-01-16
Small Business Information
20 New England Business Center
Andover, MA 01810-1111
United States
DUNS: 073800062
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Colin Hessel
 (978) 738-8207
Business Contact
 William Marinelli
Phone: (978) 738-8226
Research Institution
 Purdue University
 Bryan Scott
610 Purdue Mall
West Lafayette, IN 47907-2050
United States

 (765) 494-8366
 Nonprofit College or University

Physical Sciences Inc. and Purdue University propose to develop a chemical model that accurately predicts the performance of hydroxyl terminated polybutadiene (HTPB) polymer commonly used as a propellant binder in rocket motors. The model will utilize chemical and physical data from HTPB feedstock to predict propellant cure kinetics, mechanical properties, and aging performance. The model will incorporate an algorithm with the capability to provide formulation recommendations to achieve cured propellants with precise performance specifications.  In Phase I, PSI will conduct a design of experiments (DOE) by independently modifying the chemical functionalities on HTPB while collecting curing and performance data.  This comprehensive data set will be used to determine statistically significant associations that correlate HTPB chemical variables with gumstock performance properties. The DOE results gathered in Phase I will be used to build and validate a predictive software model in Phase II. This HTPB predictive algorithm will serve as a tool that will enable formulators to adjust propellant formulation parameters to achieve performance properties without the schedule and cost risks associated with rework.  Successful development of the proposed HTPB predictive algorithm will provide the Navy with a critical technology that reduces costs and risks throughout the DoD tactical missile supply chain.

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

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