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RSS FeedsSensors, Vol. 19, Pages 1373: Application of Fresnel Zone Plate Focused Beam to Optimized Sensor Design for Pulse-Echo Harmonic Generation Measurements (Sensors)

 
 

19 march 2019 15:00:56

 
Sensors, Vol. 19, Pages 1373: Application of Fresnel Zone Plate Focused Beam to Optimized Sensor Design for Pulse-Echo Harmonic Generation Measurements (Sensors)
 


In nonlinear acoustic measurements involving reflection from the stress-free boundary, the pulse-echo method could not be used because such a boundary is known to destructively change the second harmonic generation (SHG) process. The use of a focusing acoustic beam, however, can improve SHG after reflection from the specimen boundary, and nonlinear pulse-echo methods can be implemented as a practical means of measuring the acoustic nonlinear parameter (β) of solid specimens. This paper investigates the optimal sensor design for pulse-echo SHG and β measurements using Fresnel zone plate (FZP) focused beams. The conceptual design of a sensor configuration uses separate transmission and reception, where a broadband receiver is located at the center and a four-element FZP transmitter is positioned outside the receiver to create a focused beam at the specified position in a solid sample. Comprehensive simulations are performed for focused beam fields analysis and to determine the optimal sensor design using various combinations of focal length, receiver size and frequency. It is shown that the optimally designed sensors for 1 cm thick aluminum can produce the second harmonic amplitude and the uncorrected nonlinear parameter corresponding to the through-transmission method. The sensitivity of the optimal sensors to the changes in the designed sound velocity is analyzed and compared between the odd- and even-type FZPs.


 
64 viewsCategory: Chemistry, Physics
 
Sensors, Vol. 19, Pages 1374: Relay Positions Considering Interference from Other Sub-Channels in OFDMA-Based D2D Group-Casting Systems (Sensors)
Sensors, Vol. 19, Pages 1372: Integration and Exploitation of Sensor Data in Smart Cities through Event-Driven Applications (Sensors)
 
 
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