Backaction Evading and Amplification of Weak Force Signal in an Optomechanical System

2022 ◽  
pp. 2100421
Author(s):  
Shi‐Lei Chao ◽  
Da‐Wei Wang ◽  
Zhen Yang ◽  
Cheng‐Song Zhao ◽  
Rui Peng ◽  
...  
Keyword(s):  
Optomechanical System ◽  
Weak Force ◽  
Force Signal

scholarly journals A Nanoscale Photonic Crystal Cavity Optomechanical System for Ultrasensitive Motion Sensing

Crystals ◽  
2021 ◽  
Vol 11 (5) ◽  
pp. 462
Author(s):  
Ji Xia ◽  
Fuyin Wang ◽  
Chunyan Cao ◽  
Zhengliang Hu ◽  
Heng Yang ◽  
...  
Keyword(s):  
Photonic Crystal ◽  
Optical Cavity ◽  
Optical Quality ◽  
Optical Force ◽  
Mechanical Oscillator ◽  
Maximum Displacement ◽  
Optomechanical System ◽  
High Optical Quality ◽  
Hybrid Platform ◽  
Optomechanical Coupling

Optomechanical nanocavities open a new hybrid platform such that the interaction between an optical cavity and mechanical oscillator can be achieved on a nanophotonic scale. Owing to attractive advantages such as ultrasmall mass, high optical quality, small mode volume and flexible mechanics, a pair of coupled photonic crystal nanobeam (PCN) cavities are utilized in this paper to establish an optomechanical nanosystem, thus enabling strong optomechanical coupling effects. In coupled PCN cavities, one nanobeam with a mass meff~3 pg works as an in-plane movable mechanical oscillator at a fundamental frequency of . The other nanobeam couples light to excite optical fundamental supermodes at and 1554.464 nm with a larger than 4 × 104. Because of the optomechanical backaction arising from an optical force, abundant optomechanical phenomena in the unresolved sideband are observed in the movable nanobeam. Moreover, benefiting from the in-plane movement of the flexible nanobeam, we achieved a maximum displacement of the movable nanobeam as 1468 . These characteristics indicate that this optomechanical nanocavity is capable of ultrasensitive motion measurements.

Optical response based on Stokes and anti-Stokes scattering processes in cavity optomechanical system

2021 ◽  
Vol 20 (3) ◽  
Author(s):  
Tie Wang ◽  
Cheng-Hua Bai ◽  
Dong-Yang Wang ◽  
Shutian Liu ◽  
Shou Zhang ◽  
...  
Keyword(s):  
Optical Response ◽  
Optomechanical System ◽  
Anti Stokes ◽  
Cavity Optomechanical System

scholarly journals Rare-Earth-Mediated Optomechanical System in the Reversed Dissipation Regime

2021 ◽  
Vol 126 (4) ◽  
Author(s):  
Ryuichi Ohta ◽  
Loïc Herpin ◽  
Victor M. Bastidas ◽  
Takehiko Tawara ◽  
Hiroshi Yamaguchi ◽  
...  
Keyword(s):  
Rare Earth ◽  
Optomechanical System

scholarly journals Prediction of shallow bit position based on vibration signal monitoring of bit broken rock

2021 ◽  
Vol 17 (1) ◽  
pp. 155014772199170
Author(s):  
Jinping Yu ◽  
Deyong Zou
Keyword(s):  
Acoustic Emission ◽  
Time Domain ◽  
Vibration Signal ◽  
Rock Breaking ◽  
Drill String ◽  
Mean Square ◽  
Drilling Force ◽  
Emission Signal ◽  
Force Signal ◽  
The Mean

The speed of drilling has a great relationship with the rock breaking efficiency of the bit. Based on the above background, the purpose of this article is to predict the position of shallow bit based on the vibration signal monitoring of bit broken rock. In this article, first, the mechanical research of drill string is carried out; the basic changes of the main mechanical parameters such as the axial force, torque, and bending moment of drill string are clarified; and the dynamic equilibrium equation theory of drill string system is analyzed. According to the similarity criterion, the corresponding relationship between drilling process parameters and laboratory test conditions is determined. Then, the position monitoring test system of the vibration bit is established. The acoustic emission signal and the drilling force signal of the different positions of the bit in the process of vibration rock breaking are collected synchronously by the acoustic emission sensor and the piezoelectric force sensor. Then, the denoised acoustic emission signal and drilling force signal are analyzed and processed. The mean value, variance, and mean square value of the signal are calculated in the time domain. The power spectrum of the signal is analyzed in the frequency domain. The signal is decomposed by wavelet in the time and frequency domains, and the wavelet energy coefficients of each frequency band are extracted. Through the wavelet energy coefficient calculated by the model, combined with the mean, variance, and mean square error of time-domain signal, the position of shallow buried bit can be analyzed and predicted. Finally, by fitting the results of indoor experiment and simulation experiment, it can be seen that the stress–strain curve of rock failure is basically the same, and the error is about 3.5%, which verifies the accuracy of the model.

scholarly journals Analysis of machining-induced residual stresses of milled aluminum workpieces, their repeatability, and their resulting distortion

2021 ◽  
Author(s):  
Daniel Weber ◽  
Benjamin Kirsch ◽  
Christopher R. Chighizola ◽  
Christopher R. D’Elia ◽  
Barbara S. Linke ◽  
...  
Keyword(s):  
Residual Stresses ◽  
Cutting Speed ◽  
Past Research ◽  
Hole Drilling ◽  
Statistical Confidence ◽  
Measured Stress ◽  
Main Driver ◽  
Milled Surface ◽  
Force Signal ◽  
Repeatability Standard Deviation

AbstractMachining-induced residual stresses (MIRS) are a main driver for distortion of thin-walled monolithic aluminum workpieces. Before one can develop compensation techniques to minimize distortion, the effect of machining on the MIRS has to be fully understood. This means that not only an investigation of the effect of different process parameters on the MIRS is important. In addition, the repeatability of the MIRS resulting from the same machining condition has to be considered. In past research, statistical confidence of MIRS of machined samples was not focused on. In this paper, the repeatability of the MIRS for different machining modes, consisting of a variation in feed per tooth and cutting speed, is investigated. Multiple hole-drilling measurements within one sample and on different samples, machined with the same parameter set, were part of the investigations. Besides, the effect of two different clamping strategies on the MIRS was investigated. The results show that an overall repeatability for MIRS is given for stable machining (between 16 and 34% repeatability standard deviation of maximum normal MIRS), whereas instable machining, detected by vibrations in the force signal, has worse repeatability (54%) independent of the used clamping strategy. Further experiments, where a 1-mm-thick wafer was removed at the milled surface, show the connection between MIRS and their distortion. A numerical stress analysis reveals that the measured stress data is consistent with machining-induced distortion across and within different machining modes. It was found that more and/or deeper MIRS cause more distortion.

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