Your browser doesn't support javascript.
loading
A Mathematical Model for Sublimation of a Thin Film in Trace Explosive Detection Problem.
Kudryashova, Olga B; Titov, Sergey S.
Afiliação
  • Kudryashova OB; Institute for Problems of Chemical and Energetic Technologies, Siberian Branch of the Russian Academy of Sciences (IPCET SB RAS), St. Socialist, 1, 659322 Biysk, Russia.
  • Titov SS; Physics and Technology Faculty, National Research Tomsk State University, Lenin Avenue 36, 634050 Tomsk, Russia.
Molecules ; 27(22)2022 Nov 16.
Article em En | MEDLINE | ID: mdl-36432038
ABSTRACT
Here, we introduce an advanced mathematical model for the sublimation of thin films of explosives. The model relies on the Hertz-Knudsen-Langmuir (HKL) equation that describes the vaporization rate of an explosive and controls the mass exchange between the surface and the ambient air. The latest experimental data on sublimation and diffusion of 2,4,6-trinitrotoluene (TNT) monocrystals were factored in, as well as the data on the sublimation rate of hexogen (RDX), octogen (HMX), and picramide (TNA) traces. To advance the mathematical model we suggested previously, we took into account the structure of a substrate on which a thin explosive layer was deposited. The measurement problem of the sublimation rate and limits of an explosive arises from developing and advancing remote detection methods for explosives traces. Using mathematical modelling, we can identify a detectable quantity of a specific explosive under given conditions. We calculated the mass of the explosive in the air upon sublimation of thin explosive films from the surfaces over a wide range of the parameters in question and made conclusions regarding the application limits of the devised standoff trace explosive detection techniques.
Palavras-chave

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Prognostic_studies Idioma: En Revista: Molecules Assunto da revista: BIOLOGIA Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Federação Russa

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Prognostic_studies Idioma: En Revista: Molecules Assunto da revista: BIOLOGIA Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Federação Russa