HTPB Predictive Model Development for Rocket Motors

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.Ā 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.Ā 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.Ā 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.