Nonlocal mass-nanosensor model based on the damped vibration of single-layer graphene sheet influenced by in-plane magnetic field

Danilo Karličić, Predrag Kozić, Sondipon Adhikari, Milan Cajić, Tony Murmu, Mihailo Lazarević

Research output: Contribution to journalArticlepeer-review

69 Citations (Scopus)

Abstract

Nano-materials such as graphene sheets have a great opportunity to be applied in development of a new generation of nanomechanical sensors and devices due to their unique physical properties. Based on the nonlocal continuum theory and vibration analysis, the single-layered graphene sheet with attached nanoparticles affected by in-plane magnetic field is proposed as a new type of the mass-nanosensor. The nonlocal Kirchhoff-Love plate theory is adopted to describe mechanical behavior of single-layered graphene sheet as an orthotropic nanoplate. The equation of motion of a simply supported orthotropic nanoplate is derived, where the influence of Lorentz magnetic force is introduced through classical Maxwell׳s equations. Complex natural frequencies, damped frequency shifts and relative shift of damping ratio for nanoplate with attached nanoparticles are obtained in the explicit form. The influences of the nonlocal and magnetic field parameter, different mass weights and positions of attached nanoparticles and damping coefficients on the relative damped frequency shift and relative shift of damping ratio are examined. The presented results can be useful in the analysis and design of nanosensors applied in the presence of strong magnetic field. Our results show that magnetic field could be successfully used to improve sensibility performances of nanomechanical sensors.

Original languageEnglish
Pages (from-to)132-142
Number of pages11
JournalInternational Journal of Mechanical Sciences
Volume96-97
Early online date28 Mar 2015
DOIs
Publication statusPublished - Jun 2015

Keywords

  • Nonlocal elasticity theory
  • Mass-nanosensor
  • In-plane magnetic field
  • Damped natural frequency
  • Damped frequency shift

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