Quantitative Assessment Method of Muzzle Smoke in a Field Environment.


Journal

ACS omega
ISSN: 2470-1343
Titre abrégé: ACS Omega
Pays: United States
ID NLM: 101691658

Informations de publication

Date de publication:
28 Feb 2023
Historique:
received: 05 12 2022
accepted: 07 02 2023
entrez: 6 3 2023
pubmed: 7 3 2023
medline: 7 3 2023
Statut: epublish

Résumé

The muzzle of barrel weapons produces a large amount of smoke (muzzle smoke), a major source of pollution in the battlefield. Quantitative assessment of muzzle smoke is an important support for the development of advanced propellants. However, due to the lack of effective measurement methods for field experiments, most of the previous studies were based on a smoke box, and few studies have focused on muzzle smoke in the field environment. In view of the nature of the muzzle smoke and the conditions of the field environment, the characteristic quantity of muzzle smoke (CQMS) was defined based on the Beer-Lambert law in this paper. CQMS is used to characterize the danger level of muzzle smoke produced by the propellant charge, and theoretical calculations indicated that when the transmittance is

Identifiants

pubmed: 36873036
doi: 10.1021/acsomega.2c07764
pmc: PMC9979356
doi:

Types de publication

Journal Article

Langues

eng

Pagination

7950-7955

Informations de copyright

© 2023 The Authors. Published by American Chemical Society.

Déclaration de conflit d'intérêts

The authors declare no competing financial interest.

Auteurs

Chenguang Yan (C)

School of Chemistry and Chemical Engineering, Nanjing University of Science and Technology, Nanjing 210094, P. R. China.

Chen-Guang Zhu (CG)

School of Chemistry and Chemical Engineering, Nanjing University of Science and Technology, Nanjing 210094, P. R. China.

Mingxing Zhang (M)

School of Chemistry and Chemical Engineering, Nanjing University of Science and Technology, Nanjing 210094, P. R. China.

Yan Li (Y)

School of Chemistry and Chemical Engineering, Nanjing University of Science and Technology, Nanjing 210094, P. R. China.

Classifications MeSH