U.S. Army Armament Research, Development and Engineering Center Grain Evaluation Software to Numerically Predict Linear Burn Regression for Solid Propellant Grain Geometries

Abstract

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.

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Document Details

Document Type
Technical Report
Publication Date
Oct 01, 2017
Accession Number
AD1041157

Entities

People

  • Adrian Blot
  • Brian Hunter
  • Carlton Adam
  • Jonathan Jablonski
  • Pasquale Carlucci

Organizations

  • Picatinny Arsenal

Tags

DTIC Thesaurus Topics

  • Additive Manufacturing
  • Additives (Chemicals)
  • Computer-Aided Design
  • Engineering
  • Equations
  • Geometry
  • Manufacturing
  • Materials
  • Materials Science
  • Numerical Analysis
  • Printing
  • Propellant Grains
  • Propellants
  • Solid Propellants
  • Test And Evaluation
  • Two Dimensional

Readers

  • Computational Fluid Dynamics (CFD)
  • Rocket Propulsion.