acoustic emission sensors
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2021 ◽  
Author(s):  
Liudmila Khokhlova ◽  
Dimitrios-Sokratis Komaris ◽  
Salvatore Tedesco ◽  
Brendan O'Flynn

2021 ◽  
Vol 833 (1) ◽  
pp. 012187
Author(s):  
M Herbón-Penabad ◽  
A Muñoz-Ibáñez ◽  
J Delgado-Martín ◽  
N González-Molano ◽  
J Alvarellos-Iglesias ◽  
...  

Author(s):  
Shakil bin Zaman ◽  
Javad Hazrati ◽  
Matthijn de Rooij ◽  
David Matthews ◽  
Ton van den Boogaard

Author(s):  
Atta Ullah ◽  
Afrasyab Khan ◽  
Mohammed Zwawi ◽  
Mohammed Algarni ◽  
Bassem F. Felemban ◽  
...  

Abstract Supersonic steam injection from underwater vehicles into surrounding bulk water exhibits the formation of coherent structures due to the interfacial interaction between the steam and water. The mixing between the two is a function of the rate of growth of shear layer. In present work, experimental study is conducted with minor contribution from the CFD, to highlight the phenomena associated to the high-pressure steam injection into a pool of water under the influence of periodic cavitation which occurs near the steam's nozzle exit with its opening being at right angle to the opening of the exit nozzle. PIV setup along with piezoelectric acoustic emission sensors as well as LM35 temperature sensors and pitot tubes were applied to characterize the growth of the shear layer as a function of periodic cavitation with a range of steam's operating pressure. Based on the normalized shear growth rate as well as the Strouhal number and the normalized pitot thickness, the effect of rising in the cavitation on the variations of the thickness of the shear layer was studied. It was observed that higher area under the influence of the shear layer was due to the domination of the coherent flow structures, which influenced improved mixing between the steam and water. Comparison of our data with the available shear growth rate in literature shows good agreement when compared as a function of Mach number.


Sensors ◽  
2021 ◽  
Vol 21 (13) ◽  
pp. 4396
Author(s):  
Kanji Ono ◽  
Hideo Cho ◽  
Hartmut Vallen ◽  
Robert T. M’Closkey

In all ultrasonic material evaluation methods, transducers and sensors play a key role of mechanoelectrical conversion. Their transduction characteristics must be known quantitatively in designing and implementing suc+cessful structural health monitoring (SHM) systems. Yet, their calibration and verification have lagged behind most other aspects of SHM system development. This study aims to extend recent advances in quantifying the transmission and receiving sensitivities to normally incident longitudinal waves of ultrasonic transducers and acoustic emission sensors. This paper covers extending the range of detection to lower frequencies, expanding to areal and multiple sensing methods and examining transducer loading effects. Using the refined transmission characteristics, the receiving sensitivities of transducers and sensors were reexamined under the conditions representing their actual usage. Results confirm that the interfacial wave transmission is governed by wave propagation theory and that the receiving sensitivity of resonant acoustic emission sensors peaks at antiresonance.


Inventions ◽  
2021 ◽  
Vol 6 (2) ◽  
pp. 29
Author(s):  
Bhuwan Kashyap ◽  
Ratnesh Kumar

Reducing agricultural losses is an effective way to sustainably increase agricultural output efficiency to meet our present and future needs for food, fiber, fodder, and fuel. Our ever-improving understanding of the ways in which plants respond to stress, biotic and abiotic, has led to the development of innovative sensing technologies for detecting crop stresses/stressors and deploying efficient measures. This article aims to present the current state of the methodologies applied in the field of agriculture towards the detection of biotic stress in crops. Key sensing methodologies for plant pathogen (or phytopathogen), as well as herbivorous insects/pests are presented, where the working principles are described, and key recent works discussed. The detection methods overviewed for phytopathogen-related stress identification include nucleic acid-based methods, immunological methods, imaging-based techniques, spectroscopic methods, phytohormone biosensing methods, monitoring methods for plant volatiles, and active remote sensing technologies. Whereas the pest-related sensing techniques include machine-vision-based methods, pest acoustic-emission sensors, and volatile organic compound-based stress monitoring methods. Additionally, Comparisons have been made between different sensing techniques as well as recently reported works, where the strengths and limitations are identified. Finally, the prospective future directions for monitoring biotic stress in crops are discussed.


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