Presentation
30 May 2022 Modeling the sublimation behavior of explosives materials
Author Affiliations +
Abstract
We have measured the sublimation rate of trace quantities of explosives materials as a function of temperature, airflow, inter particle distance, and humidity. In parallel, we have developed a computational model based on Monte Carlo simulation and molecular dynamics to predict sublimation behavior. Together these allow us to predict the persistence of arbitrary particle ensembles provided that certain physical properties such as vapor pressure are known. This data can be used to inform those developing vapor or particle based sensing technologies.
Conference Presentation
© (2022) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Michael R. Papantonakis, Viet Nguyen, Robert Furstenberg, and R. Andrew McGill "Modeling the sublimation behavior of explosives materials", Proc. SPIE PC12116, Chemical, Biological, Radiological, Nuclear, and Explosives (CBRNE) Sensing XXIII, PC1211605 (30 May 2022); https://doi.org/10.1117/12.2618866
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KEYWORDS
Explosives

Particles

Data modeling

Humidity

Monte Carlo methods

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