کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
5008113 | 1461836 | 2017 | 20 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Fast time-domain laser Doppler vibrometry characterization of surface acoustic waves devices
ترجمه فارسی عنوان
خصوصیات واپاشی لنز داپلر لیزر زمان سنجی از دستگاه های امواج صوتی سطح
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
شیمی
الکتروشیمی
چکیده انگلیسی
This paper explores experiments and an in-depth analysis of surface acoustic waves (SAW) imaging using scanning laser Doppler vibrometry. Optical measurements allow visualization of wave propagation and resonance patterns in SAW devices as well as the detection of loss sources and undesired responses, such as escaping acoustic beams, unwanted reflections and acoustic crosstalk. We also report the characterization of a gas sensor based on electro-acoustic delay lines operating at 78.8Â MHz and featuring a maximum SAW amplitude of 0.6Â nm due to 33Â dBm burst excitation. In addition to conventional full C-Scan (3200 points) of the structure, we report a series of B-Scans (430 points) referenced to the device geometry. The latter provides the same valuable information on SAW device operation with more versatility for graphical analysis and more than 10 times faster measurement times. Such capabilities have implications for the engineering of acoustic and sensor applications. In order to extend the analysis of the performance of SAW sensors, we discuss different experimental approaches using numerical simulation, radiofrequency and interferometric measurements. The present study highlights several approved SAW device characterization techniques and methods, the means of their optimization as well as applications for improving SAW device performances.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Sensors and Actuators A: Physical - Volume 264, 1 September 2017, Pages 96-106
Journal: Sensors and Actuators A: Physical - Volume 264, 1 September 2017, Pages 96-106
نویسندگان
Nikolay Smagin, Lyes Djoumi, Etienne Herth, Meddy Vanotti, Dame Fall, Virginie Blondeau-Patissier, Marc Duquennoy, Mohammadi Ouaftouh,