Thermal Design and Optimization of the Self-Heating Group Ration.

Abstract

In this study the Finite Difference Method (FDM) and Finite Element Method (FEM) were used to simulate the heat transfer within the Self-Heating Group Ration (SHGR). The FDM model primarily generated temperature versus time plots for different types of foods. The FEM model primarily predicted the heat losses from the SHGR container, and optimized the design of the container. Three experimental results using corn, beef stew, and water in the SHGR verified the FDM and FEM models. The FDM model then generated temperature versus time plots for potatoes and peas. The FEM model determined the heat losses for the current form of the SHGR container. The analysis revealed that 90% of the heat loss from the container went through the bottom side. Another ANSYS's model using 1 inch styrofoam on the bottom of the SHGR, reduced the total heat loss from the container by 35.5%. Yet, the total heat lost from the standard configuration was only 0.6% of the total heat input. A final analysis performed on the standard configuration of the SHGR determined the heat loss from the container in a cold environment (40 deg. F). The heat loss from the SHGR container in the cold environment was still only 1.14% of the total heat input. The analyses indicated the current design of the SHGR container is adequate to contain the heat produced by the chemical heaters when heating the food pouches.

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Document Details

Document Type
Technical Report
Publication Date
Aug 01, 1996
Accession Number
ADA313634

Entities

People

  • Keith A. Nelson

Organizations

  • United States Army Soldier Systems Center

Tags

Communities of Interest

  • Cyber
  • Human Systems

DTIC Thesaurus Topics

  • Climate Change
  • Computational Fluid Dynamics
  • Computer Programs
  • Computers
  • Containers
  • Equations
  • Finite Element Analysis
  • Fluid Dynamics
  • Heat Energy
  • Heat Flux
  • Heat Loss
  • Heat Transfer
  • Heat Transfer Coefficients
  • Heat Transmission
  • Losses
  • Thermal Conductivity
  • Two Dimensional

Readers

  • Computational Fluid Dynamics (CFD)
  • Gender and Food Studies
  • Thermal Physics or Thermal Science.