Bulk disc resonators radial and wineglass mode resonance characterization for mass sensing applications

2015 ◽  
Vol 22 (5) ◽  
pp. 1013-1020 ◽  
Author(s):  
Mohammad Hossein Zarifi ◽  
Mojgan Daneshmand
Author(s):  
Miheer Gurjar ◽  
Nader Jalili

This paper presents a mathematical model of a self-sensing microcantilever beam for mass sensing applications. Equations of motion are derived for a microcantilever beam with a tip mass and a piezoelectric patch actuator deposited on the cantilever surface. In the self-sensing mode, the same piezoelectric patch is used for actuation and sensing. Selfinduced voltage signals, which are extracted using a capacitive bridge mechanism, reveal frequency information of the vibrating beam, which in turn, reveals the particle mass. Equations of motion are obtained using the extended Hamilton's principle by considering the microcantilever as a distributed- parameters system. Two methods to estimate the unknown tip mass are presented. The first one is based on an inverse solution to the characteristic equation problem, while the second method uses a constraint-based optimization approach to estimate the tip mass. To improve the self-sensing performance, the need for adaptive estimation of the piezoelectric capacitance is stressed and an online estimation mechanism is presented. Simulations are presented to demonstrate the ability of the model to detect tip mass up to 0.1 femtogram (1 femtogram = 10-15 gm). Further simulation results demonstrate the working of constraint optimization method and adaptive self-sensing mechanism.


2007 ◽  
Vol 253 (24) ◽  
pp. 9372-9380 ◽  
Author(s):  
Zhi Yan ◽  
Zhitang Song ◽  
Weili Liu ◽  
Hongxuan Ren ◽  
Ning Gu ◽  
...  

Author(s):  
Nalluri Siddaiah ◽  
D.V. Rama Koti Reddy ◽  
Y. Bhavani Sankar ◽  
R. Anil Kumar ◽  
Hossein Pakdast

Cantilever sensors have been the growing attention in last decades and their use as a mass detector. This work presents design, modeling and analysis of Triple coupled cantilever(TCC) sensor using MEMS simulation software Comsol Multiphysics with critical  dimensions of 100μm length,20μm width and 2μm thickness. Simulations were performed based on finite element modeling techniques, where different resonant frequencies were observed for different modes of operation. It is also observed that the resonant frequency of the sensor decreases as some mass is applied on one particular cantilever. The various parameters greatly affecting the performance of TCC such as resonant frequency, dimensions, material and pressure or force applied on it.we also observed that while adding some mass on any one lateral cantilever, the resonant frequency of that respective mode reduced.


2007 ◽  
Author(s):  
Jian Lu ◽  
Tsuyoshi Ikehara ◽  
Yi Zhang ◽  
Takashi Mihara ◽  
Ryutaro Maeda

Author(s):  
S. Gonzalez-Castilla ◽  
J. Olivares ◽  
E. Iborra ◽  
M. Clement ◽  
J. Sangrador ◽  
...  

Author(s):  
Dinesh Deshwal ◽  
Anil Kumar Narwal

Abstract Sensors have tremendous demand in Industry because of their properties like sensitiveness, responsiveness, stability, selectiveness, and cost-effectiveness. Therefore, it is a dire need to develop advanced sensing materials and technologies. With the rapid advancement in micro and nanotechnologies in Micro-electromechanical Systems/ Nano-electromechanical Systems (MEMS/NEMS), more emphasis has to develop micro and nanomechanical resonators, having great interest for engineering fields. When MEMS/NEMS resonators are used for advancement in sensors, then they could perform both detection and sensing. Both BNNT and CNT are the strongest lightweight nanomaterials used for mass sensing applications. BNNT contradict to CNT have nontoxic property towards health and environment because of its structural stability and chemical inertness, which makes it more suitable for biological applications. From various studies, the conclusion comes out that the non-linear dynamic behavior of Boron Nitride Nanotubes-based mass sensors has not yet been explored. It is required strongly to study the non-linear conduct of BNNT for designing a better performing mass sensor.


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