Stochastic Resonance in a Voltage-Controlled Micromechanical Slider

Droogendijk, H.; Boer, Meint J. de; Sanders, Remco G.P.; Krijnen, Gijs

doi:10.1109/jmems.2014.2341590

Cited by 6 publications

(7 citation statements)

References 37 publications

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“…To design and optimize these MEMS devices, one should firstly understand in detail the statics/dynamics that may exist in the system [ 13 , 14 , 15 , 16 , 17 , 18 , 19 ]. Then, combined with the mechanical principles previously derived and the real demands of MEMS communities, one can summarize some design rules that may finally offer help in reducing the production period and cost for new MEMS devices.…”

Section: Introductionmentioning

confidence: 99%

Vibration Identification of Folded-MEMS Comb Drive Resonators

Han

Jin

et al. 2018

Micromachines

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Natural frequency and frequency response are two important indicators for the performances of resonant microelectromechanical systems (MEMS) devices. This paper analytically and numerically investigates the vibration identification of the primary resonance of one type of folded-MEMS comb drive resonator. The governing equation of motion, considering structure and electrostatic nonlinearities, is firstly introduced. To overcome the shortcoming of frequency assumption in the literature, an improved theoretical solution procedure combined with the method of multiple scales and the homotopy concept is applied for primary resonance solutions in which frequency shift due to DC voltage is thoroughly considered. Through theoretical predictions and numerical results via the finite difference method and fourth-order Runge-Kutta simulation, we find that the primary frequency response actually includes low and high-energy branches when AC excitation is small enough. As AC excitation increases to a certain value, both branches intersect with each other. Then, based on the variation properties of frequency response branches, hardening and softening bending, and the ideal estimation of dynamic pull-in instability, a zoning diagram depicting extreme vibration amplitude versus DC voltage is then obtained that separates the dynamic response into five regions. Excellent agreements between the theoretical predictions and simulation results illustrate the effectiveness of the analyses.

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Section: Introductionmentioning

confidence: 99%

Vibration Identification of Folded-MEMS Comb Drive Resonators

Han

Jin

et al. 2018

Micromachines

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“…Instrumentation: Acoustic actuation test-bed was powered with a programmable signal generator (33510B, Keysight, Inc., USA) connected to a 160 V custom-built voltage amplifier (ESyLAB LM3325 8-channel [36] ) used for acoustic power enhancement. Magnetic actuation was enabled by a set of two orthogonal electromagnets powered by XenusPlus EtherCAT drivers (XE-2-230-20, Copley Controls, USA), providing up to 5 mT of magnetic field.…”

Section: Methodsmentioning

confidence: 99%

CeFlowBot: A Biomimetic Flow‐Driven Microrobot that Navigates under Magneto‐Acoustic Fields

Mohanty

Paul

Matos

et al. 2021

Small

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bacterium, [7] alga [8] ). Since most of the above-described organisms are aquatic, their anatomical features precipitate biomimetic approaches to design new microrobots that imitate efficient swimming motion of such organisms.Within such aquatic creatures, a unique swimming mechanism is demonstrated by organisms (e.g., octopus, squid, cuttlefish) that belong to the Cephalopoda family. The cephalopods exhibit a jet-propulsion phenomenon whereby they sequentially inflate and deflate bodies to pump fluid which imparts the necessary thrust to move forward. [9][10][11][12][13][14] This sequential inflation and deflation in cephalopods can be attributed to their elastic bodies which function like a mass-spring system. [14][15][16] These naturally occurring mass-spring resonators have been a motivation to design artificial robotic systems that closely imitate the cephalopod-inspired motion. [14] Previously, different fabrication methods (e.g., mold casting, [9] 3-D printing, [10] shape memory alloys, [11] dielectric elastomers, [13] elastic membranes [14] ) have produced microrobotic designs that mimic members of the Cephalopoda family. Although the aforementioned fabrication methods closely imitate the anatomy of cephalopods up to centimeter scale, their implementation at micro-and nano-scale can be challenging owing to fabrication constraints. Such precise replication of anatomical features at micro-to nano-scale requires multi-step fabrication processes. [5,[17][18][19][20] Specifically, the synthesis of micro-scale movable components that enable Aquatic organisms within the Cephalopoda family (e.g., octopuses, squids, cuttlefish) exist that draw the surrounding fluid inside their bodies and expel it in a single jet thrust to swim forward. Like cephalopods, several acoustically powered microsystems share a similar process of fluid expulsion which makes them useful as microfluidic pumps in lab-on-a-chip devices. Herein, an array of acoustically resonant bubbles are employed to mimic this pumping phenomenon inside an untethered microrobot called CeFlowBot. CeFlowBot contains an array of vibrating bubbles that pump fluid through its inner body thereby boosting its propulsion. CeFlowBots are later functionalized with magnetic layers and steered under combined influence of magnetic and acoustic fields. Moreover, acoustic power modulation of CeFlowBots is used to grasp nearby objects and release it in the surrounding workspace. The ability of CeFlowBots to navigate remote environments under magnetoacoustic fields and perform targeted manipulation makes such microrobots useful for clinical applications such as targeted drug delivery. Lastly, an ultrasound imaging system is employed to visualize the motion of CeFlowBots which provides means to deploy such microrobots in hard-to-reach environments inaccessible to optical cameras.The ORCID identification number(s) for the author(s) of this article can be found under https://doi.org/10.1002/smll.202105829.

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“…Stochastic resonance (SR) establishes a phenomenon where the additive noise can enhance the performance of some certain nonlinear systems [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15][16]. Benzi initially observed the SR effect in climate model several decades ago [1].…”

Section: Introductionmentioning

confidence: 99%

Stochastic Resonance in an Array of Dynamical Saturating Nonlinearity with Second-Order

Ma¹,

Zhang²,

Pan³

et al. 2017

JRNAL

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The transmission of weak noisy signal by parallel array of dynamical saturating nonlinearities with secondorder is studied. Firstly, the numerical results demonstrate that the output SNR can be enhanced by parallel array of dynamical saturating nonlinearities with second-order by tuning the internal noise. Secondly, the SR effects can be optimized by the self-coupling coefficient of the dynamical nonlinearity. Then, the SR effects when the nonGaussian noise acts as the external noise are superior to that with external Gaussian noise.

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Stochastic Resonance in a Voltage-Controlled Micromechanical Slider

Cited by 6 publications

References 37 publications

Vibration Identification of Folded-MEMS Comb Drive Resonators

Vibration Identification of Folded-MEMS Comb Drive Resonators

CeFlowBot: A Biomimetic Flow‐Driven Microrobot that Navigates under Magneto‐Acoustic Fields

Stochastic Resonance in an Array of Dynamical Saturating Nonlinearity with Second-Order

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