Pull-in instability of double clamped microbeams under dispersion forces in the presence of thermal and residual stress effects using nonlocal elasticity theory

Tavakolian, Fateme; Farrokhabadi, Amin; Mirzaei, Majid

doi:10.1007/s00542-015-2785-z

Cited by 30 publications

(1 citation statement)

References 62 publications

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“…In another case, we have compared the threshold voltages with the experimental 56 , analytical 47 , and numerical 57 results reported in the literature for beams with different length (Table 2). The width and thickness of deformable electrodes are 50 μm and 1 μm, respectively, and the initial gap is 3 μm.…”

Section: Resultsmentioning

confidence: 99%

A thermosensitive electromechanical model for detecting biological particles

SoltanRezaee

Bodaghi

Farrokhabadi

2019

Sci Rep

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Miniature electromechanical systems form a class of bioMEMS that can provide appropriate sensitivity. In this research, a thermo-electro-mechanical model is presented to detect biological particles in the microscale. Identification in the model is based on analyzing pull-in instability parameters and frequency shifts. Here, governing equations are derived via the extended Hamilton’s principle. The coupled effects of system parameters such as surface layer energy, electric field correction, and material properties are incorporated in this thermosensitive model. Afterward, the accuracy of the present model and obtained results are validated with experimental, analytical, and numerical data for several cases. Performing a parametric study reveals that mechanical properties of biosensors can significantly affect the detection sensitivity of actuated ultra-small detectors and should be taken into account. Furthermore, it is shown that the number or dimension of deposited particles on the sensing zone can be estimated by investigating the changes in the threshold voltage, electrode deflection, and frequency shifts. The present analysis is likely to provide pertinent guidelines to design thermal switches and miniature detectors with the desired performance. The developed biosensor is more appropriate to detect and characterize viruses in samples with different temperatures.

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Section: Resultsmentioning

confidence: 99%