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contributor authorBouchaala, Adam
contributor authorNayfeh, Ali H.
contributor authorYounis, Mohammad I.
date accessioned2017-05-09T01:27:06Z
date available2017-05-09T01:27:06Z
date issued2016
identifier issn0022-0434
identifier otheromae_138_04_041602.pdf
identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/160704
description abstractWe present analytical and numerical techniques to accurately calculate the shifts in the natural frequencies of electrically actuated micro and nano (carbon nanotubes (CNTs)) cantilever beams implemented as resonant sensors for mass detection of biological entities, particularly Escherichia coli (E. coli) and prostate specific antigen (PSA) cells. The beams are modeled as Euler–Bernoulli beams, including the nonlinear electrostatic forces and the added biological cells, which are modeled as discrete point masses. The frequency shifts due to the added masses of the cells are calculated for the fundamental and higherorder modes of vibrations. Analytical expressions of the natural frequency shifts under a direct current (DC) voltage and an added mass have been developed using perturbation techniques and the Galerkin approximation. Numerical techniques are also used to calculate the frequency shifts and compared with the analytical technique. We found that a hybrid approach that relies on the analytical perturbation expression and the Galerkin procedure for calculating accurately the static behavior presents the most computationally efficient approach. We found that using higherorder modes of vibration of microelectromechanicalsystem (MEMS) beams or miniaturizing the sizes of the beams to nanoscale leads to significant improved frequency shifts, and thus increased sensitivities.
publisherThe American Society of Mechanical Engineers (ASME)
titleFrequency Shifts of Micro and Nano Cantilever Beam Resonators Due to Added Masses
typeJournal Paper
journal volume138
journal issue9
journal titleJournal of Dynamic Systems, Measurement, and Control
identifier doi10.1115/1.4033075
journal fristpage91002
journal lastpage91002
identifier eissn1528-9028
treeJournal of Dynamic Systems, Measurement, and Control:;2016:;volume( 138 ):;issue: 009
contenttypeFulltext


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