U.S. Army Armament Research, Development and Engineering Center Grain Evaluation Software to Numerically Predict Linear Burn Regression for Solid Propellant Grain Geometries
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,...
Gespeichert in:
Hauptverfasser: | , , , , |
---|---|
Format: | Report |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext bestellen |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
Zusammenfassung: | 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. |
---|