U.S. Army Armament Research, Development and Engineering Center Grain Evaluation Software to Numerically Predict Linear Burn Regression for Solid Propellant Grain Geometries
Technical Report,01 Aug 2015,01 Sep 2016
ARDEC, METC, RDAR-MEF-E Picatinny Arsenal United States
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The ability to manufacture complex propellant grains with additive manufacturing processes necessitates the ability to numerically predict grain regression during the design process. A numerical tool developed by the U.S. Army Armament Research, Development and Engineering Center, Picatinny Arsenal, NJ, which uses an Eulerian volume-of-fluid approach to solve the phase-field equation, is able to accurately predict grain regression for arbitrary solid propellant geometries. Numerical results generated using this tool are validated against commonly-used propellant grain geometries with exact regression solutions, and the capability of the tool to analyze an additive-manufactured grain with complex internal structures is presented.
- Ammunition and Explosives
- Computer Programming and Software