NEMS Resonators for Detection of Chemical Warfare Agents Based on Graphene Sheet
Joint Authors
Canadija, Marko
Anđelić, Nikola
Car, Zlatan
Source
Mathematical Problems in Engineering
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-23, 23 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-06-17
Country of Publication
Egypt
No. of Pages
23
Main Subjects
Abstract EN
Graphene sheets are the basis of nanoelectromechanical (NEMS) mass resonators that are in recent years experimentally used for detection of specific gas molecules in air.
The aim of this paper is to theoretically investigate the possibility of application of graphene sheets in detection of Chemical Warfare Agents (CWA’s).
By application of the nonlocal theory of elasticity and classical plate theory, equations that describe natural vibrations of the simply supported single-layer graphene sheet (SLGS) and double-layer graphene sheet (DLGS) were derived.
In order to detect attached CWA molecule, the frequency shift method was applied.
The results indicate that the proposed methodology could be successfully implemented in order to detect an attached CWA molecule.
However, only specific mode shapes could be employed for such detection.
American Psychological Association (APA)
Anđelić, Nikola& Car, Zlatan& Canadija, Marko. 2019. NEMS Resonators for Detection of Chemical Warfare Agents Based on Graphene Sheet. Mathematical Problems in Engineering،Vol. 2019, no. 2019, pp.1-23.
https://search.emarefa.net/detail/BIM-1196559
Modern Language Association (MLA)
Anđelić, Nikola…[et al.]. NEMS Resonators for Detection of Chemical Warfare Agents Based on Graphene Sheet. Mathematical Problems in Engineering No. 2019 (2019), pp.1-23.
https://search.emarefa.net/detail/BIM-1196559
American Medical Association (AMA)
Anđelić, Nikola& Car, Zlatan& Canadija, Marko. NEMS Resonators for Detection of Chemical Warfare Agents Based on Graphene Sheet. Mathematical Problems in Engineering. 2019. Vol. 2019, no. 2019, pp.1-23.
https://search.emarefa.net/detail/BIM-1196559
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1196559