Physics-Based Modeling of Permeation: Simulation of Low-Volatility Agent Permeation and Aerosol Vapor Liquid Assessment Group Experiments

Abstract

Physics-based models were developed to predict agent permeation through test material swatches in the low-volatility agent permeation (LVAP) and Aerosol Vapor Liquid Assessment Group (AVLAG) cell tests. The model tracks the transport and distribution of agent in the liquid, material swatch, and collection media (sampler or air stream). For the LVAP tests, model predictions were compared to experimental results and showed good agreement. The model predictions provided additional insight into the physical processes occurring during permeation and were used to study hypothetical test materials with desired properties. Comparing model results for LVAP and AVLAG tests revealed the physical reasons for the differences in permeation rates for low vapor pressure agents such as VX. The LVAP model was shown to provide a reasonable worst-case scenario for permeation into skin in a real-world scenario because good contact is maintained between the test material and sampler. A simple model was developed to investigate the effect of imperfect contact between the test material and sampler on the permeation rate. Suggestions were also made for further model development efforts in the area of agent permeation through materials.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 2015
Accession Number
ADA622995

Entities

People

  • Brent A Mantooth
  • Mark J. Varady
  • Terrence G. D'onofrio

Organizations

  • Edgewood Chemical Biological Center

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Chemical Warfare
  • Chemical Warfare Agents
  • Electron Microscopes
  • Environment
  • Equations
  • Mass Transfer
  • Materials
  • Physical Properties
  • Polymers
  • Porous Materials
  • Protective Equipment
  • Simulations
  • Test And Evaluation
  • Test Methods
  • Thin Films
  • Vapor Pressure
  • Volatility

Readers

  • Computational Modeling and Simulation
  • Environmental Engineering.
  • Groundwater Contamination Remediation.