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Titlebook: Advances in Non-Destructive Evaluation (NDE); Conference Proceedin Bikash Ghose,Venugopal Manoharan,Ravibabu Mulavees Conference proceeding

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21#
發(fā)表于 2025-3-25 03:27:11 | 只看該作者
Development of Novel Ultrasonic Waveguide Sensor with Non-leaky Waves for Multi Point Temperature Mith hollow tubular waveguides for transmission of guided waves with minimum leakage. For the experimental procedure ultrasonic guided waves is used for checking the leakage in the developed waveguide. This work is of interest to industrial applications including furnace wall temperature measurements in petrochemical industries etc.
22#
發(fā)表于 2025-3-25 10:57:22 | 只看該作者
23#
發(fā)表于 2025-3-25 13:02:41 | 只看該作者
Conference proceedings 2024-destructive Testing (ISNT). This book covers topics from wide domains from conventional to advanced NDE, including conventional and advanced NDE methods, drone-based inspections, thermal wave imaging, NDT data fusion, material characterization, waveguide sensors, inspections of civil structures, me
24#
發(fā)表于 2025-3-25 17:48:48 | 只看該作者
25#
發(fā)表于 2025-3-25 23:13:32 | 只看該作者
https://doi.org/10.1007/978-3-662-40069-2ency domain analysis has been carried out for quantitative assessment of the defects in the CFRP sample. Results shows that BCTWI with time domain approach significantly improves the defect depth resolution in comparison to the conventional frequency domain analysis approach.
26#
發(fā)表于 2025-3-26 03:02:14 | 只看該作者
27#
發(fā)表于 2025-3-26 04:23:11 | 只看該作者
Divisoren und Differentialformen,oposed technique has been compared with the popular pulse based and mono-frequency thermal excitation schemes by carrying out an experimental study over a specimen containing Flat Bottom Hole (FBH) defects.
28#
發(fā)表于 2025-3-26 11:57:28 | 只看該作者
29#
發(fā)表于 2025-3-26 13:40:30 | 只看該作者
Digitized Frequency Modulated Thermal Wave Imaging for Defect Estimation in Steel,r a steel sample containing six square defects located at different depth locations. Further, the defect detection capability of the approach has been assessed by comparing the existing Frequency Domain (FD) and Time Domain (TD) data analysis approach.
30#
發(fā)表于 2025-3-26 20:42:21 | 只看該作者
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