EconPapers    
Economics at your fingertips  
 

Nanomechanical sensors based on elastically supported double-walled carbon nanotubes

Keivan Kiani

Applied Mathematics and Computation, 2015, vol. 270, issue C, 216-241

Abstract: Carbon nanotubes are anticipated to have potential applications in nanosensor technology; however, their usage under various boundary conditions has not been thoroughly revealed. In this article, we are seeking for appropriate numerical models to bridge such a scientific gap for double-walled carbon nanotubes (DWCNTs) as nanomechanical sensors. Some nonlocal beam models are developed for exploring the vibration performance of embedded DWCNTs in an elastic matrix due to the arbitrarily added nanoparticles. The nonlocal continuum theory of Eringen is employed, and the governing equations of each model are constructed by considering the lateral and rotary inertial effects of the attached nanoparticles. Since examining the problem for a wide range of boundary conditions is of particular interest, an effective meshless method is exploited. For the proposed numerical models, a comparison study along with a convergence check is carried out and reasonably good agreements are achieved. The key factor in mechanical performance of DWCNTs for sensing the nanoparticles is the alteration of their natural flexural frequencies. A fairly conclusive study is then conducted to determine the influences of the crucial factors on the frequency shift of DWCNTs. The obtained results explain the potential applications of DWCNTs as mass nanosensors for a diverse range of boundary conditions.

Keywords: Nanomechanical sensor; Double-walled carbon nanotubes (DWCNTs); Reproducing kernel particle method (RKPM); Nonlocal Rayleigh beam theory; Nonlocal Timoshenko beam theory; Nonlocal higher-order beam theory (search for similar items in EconPapers)
Date: 2015
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S009630031501036X
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:apmaco:v:270:y:2015:i:c:p:216-241

DOI: 10.1016/j.amc.2015.07.114

Access Statistics for this article

Applied Mathematics and Computation is currently edited by Theodore Simos

More articles in Applied Mathematics and Computation from Elsevier
Bibliographic data for series maintained by Catherine Liu ().

 
Page updated 2025-03-19
Handle: RePEc:eee:apmaco:v:270:y:2015:i:c:p:216-241