Nonlinear stability of a viscous film with respect to three-dimensional side-band disturbances

1977 ◽  
Vol 20 (7) ◽  
pp. 1039 ◽  
Author(s):  
M. V. G. Krishna ◽  
S. P. Lin
Keyword(s):  
Nonlinear Stability ◽  
Three Dimensional ◽  
Side Band ◽  
Viscous Film

scholarly journals Richardson Number Criterion for the Nonlinear Stability of Three-Dimensional Stratified Flow

1984 ◽  
Vol 52 (26) ◽  
pp. 2352-2355 ◽  
Author(s):  
Henry D. I. Abarbanel ◽  
Darryl D. Holm ◽  
Jerrold E. Marsden ◽  
Tudor Ratiu
Keyword(s):  
Nonlinear Stability ◽  
Richardson Number ◽  
Three Dimensional ◽  
Stratified Flow

scholarly journals Sensitivity-Improved Ultrasonic Sensor for 3D Imaging of Seismic Physical Model Using a Compact Microcavity

Sensors ◽  
2018 ◽  
Vol 18 (7) ◽  
pp. 2315 ◽  
Author(s):  
Tingting Gang ◽  
Manli Hu ◽  
Xiaohong Bai ◽  
Qiangzhou Rong
Keyword(s):  
Physical Model ◽  
Bubble Diameter ◽  
Three Dimensional ◽  
Ultrasonic Waves ◽  
Ultrasonic Sensor ◽  
Side Band ◽  
Air Bubble ◽  
Highly Sensitive ◽  
Fabry Perot ◽  
Short Section

A sensitivity-improved ultrasonic sensor is proposed and demonstrated experimentally in this present study. The device is comprised only a fiber-optic microcavity that is formed by discharging a short section of hollow core fiber (HCF). The key to ensuring the success of the sensor relies on the preprocessing of hydrogen loading for HCF. When discharging the HCF, the hydrogen is heated up during the formation of the air bubble, which enlarges the bubble diameter, smoothens its surfaces simultaneously and decreases Young’s modulus of the material of the bubble. Ultimately, this results in the probe being highly sensitive to ultrasound with a SNR of 69.28 dB. Once the compact air cavity is formed between the end face of the leading-in fiber and the top wall of the bubble, a well-defined interference spectrum is achieved based on the Fabry–Perot interference. By using spectral side-band filtering technology, we detect the ultrasonic waves reflected by the seismic physical model (SMF) and then reconstruct its three-dimensional image.

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