Mode coupling and locking of a Π-shaped cantilever resonator using laser-induced asymmetric modulation

Author(s):  
Wenyao Luo ◽  
Naikun Gao ◽  
Yanyan Li ◽  
Zhixin Zhao ◽  
Duo Liu

Abstract Mechanical resonators, such as microcantilevers, demonstrate significant potential for use in information technology. Cantilevered beams of various geometries clamped at one end form the most ubiquitous structures in microelectromechanical systems (MEMSs) that support multimode vibration for the detection, conversion, and processing of small signals. In this study, we demonstrate that the potential of these devices can be further extended by utilizing a strategy based on mode coupling and locking induced by asymmetric photothermal modulation. A cantilever was designed to have a Π-shape with a specific geometry such that the resonant frequencies of the two orthogonal modes are close to one another. Additionally, we show that mode coupling between the two modes, which are originally orthogonal to one another, can be achieved through laser-induced photothermal modulation. In particular, the two modes can be parametrically tuned to become degenerate through mode coupling with a significant increase in the quality factor from 112 to 839. This approach is universal and can be extended to improve the detection limits of microresonators in high-dissipation environments with enhanced signal-to-noise ratios.

2022 ◽  
Vol 12 (1) ◽  
Author(s):  
Naoki Inomata ◽  
Yuka Tonsho ◽  
Takahito Ono

AbstractThe quality factor (Q-factor) is an important parameter for mechanical resonant sensors, and the optimal values depend on its application. Therefore, Q-factor control is essential for microelectromechanical systems (MEMS). Conventional methods have some restrictions, such as additional and complicated equipment or nanoscale dimensions; thus, structural methods are one of the reasonable solutions for simplifying the system. In this study, we demonstrate Q-factor control using a variable phononic bandgap by changing the length of the periodic microstructure. For this, silicon microstructure is used because it has both periodicity and a spring structure. The bandgap change is experimentally confirmed by measuring the Q-factors of mechanical resonators with different resonant frequencies. The bandgap range varies depending on the extended structure length, followed by a change in the Q-factor value. In addition, the effects of the periodic structure on the Q-factor enhancement and the influence of stress on the structural length were evaluated. Although microstructures can improve the Q-factors irrespective of periodicity; the result of the periodic microstructure is found to be efficient. The proposed method is feasible as the novel Q-factor control technique has good compatibility with conventional MEMS.


Nano Letters ◽  
2009 ◽  
Vol 9 (7) ◽  
pp. 2547-2552 ◽  
Author(s):  
Andreas K. Hüttel ◽  
Gary A. Steele ◽  
Benoit Witkamp ◽  
Menno Poot ◽  
Leo P. Kouwenhoven ◽  
...  

2019 ◽  
Vol 114 (18) ◽  
pp. 183504 ◽  
Author(s):  
Benjamin Spetzler ◽  
Christine Kirchhof ◽  
Jens Reermann ◽  
Phillip Durdaut ◽  
Michael Höft ◽  
...  

Nanoscale ◽  
2016 ◽  
Vol 8 (31) ◽  
pp. 14809-14813 ◽  
Author(s):  
Shu-Xiao Li ◽  
Dong Zhu ◽  
Xin-He Wang ◽  
Jiang-Tao Wang ◽  
Guang-Wei Deng ◽  
...  

Author(s):  
Sami Bedra ◽  
Siham Benkouda ◽  
Tarek Fortaki

Purpose – The paper aims to propose an artificial neural network (ANN) in conjunction with spectral domain formulation for fast and accurate determination of the resonant frequency and quality factor of circular microstrip antenna printed on isotropic or anisotropic substrate. This neurospectral approach reduces the problem complexity. Design/methodology/approach – The moment method implemented in the spectral domain provides good accuracy but its computational cost is high due to the evaluation of the slowly decaying integrals and the iterative nature of the solution process. The paper introduces the electromagnetic knowledge combined with ANN in the analysis of circular microstrip antenna on isotropic or uniaxially anisotropic substrate to reduce the complexity of the spectral approach and to minimize the CPU time necessary to obtain the numerical results. Findings – The resonant frequency results obtained from the neural model are in very good agreement with the experimental and theoretical results available in the literature. Finally, numerical results for the substrate anisotropy effect on the resonant frequency, quality factor and radiation pattern are also presented. Originality/value – The paper develops fast and accurate model based on ANN technique to calculate the resonant frequencies and quality factors of circular microstrip antennas. ANN is used to model the relationship between the parameters of the microstrip antenna and the resonant frequencies and quality factors obtained from the spectral domain approach. This relatively simple model allows designers to predict accurately the resonant frequencies and quality factors for a given design without having to develop or run the spectral method codes themselves. The main advantages of the method are: less computing time than the spectral model, results with accuracy equivalent to that of full-wave models and cost effectiveness, since the client can use a simple PC for implementation. Another advantage of the proposed ANN model is that it takes into account the uniaxial anisotropy in the substrate without increasing the network size. This is done by combining ANN with electromagnetic knowledge.


2013 ◽  
Vol 114 (1) ◽  
pp. 014506 ◽  
Author(s):  
F. A. Torres ◽  
P. Meng ◽  
L. Ju ◽  
C. Zhao ◽  
D. G. Blair ◽  
...  

1984 ◽  
Vol 5 (4) ◽  
Author(s):  
A. M. J. Koonen

SummaryDistributed mode-selective losses in a multimode fiber transmission link cause an accumulation of modal noise. A theory has been developed which gives an approximation of the signal-to-noise ratio at the end of the link due to the accumulated modal noise; it shows how this ratio is improved by mode-coupling in the fiber.


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