Results 201 to 210 of about 39,338 (264)

Synergistic effects of ultrasound and stirring on crystallization behavior of coconut oil: Physicochemical properties, crystallinity and potential mechanism. [PDF]

Food Chem X
Yang H, Fu Y, Xu S, Xue J, Cao J.
europepmc   +1 more source

In Situ X-Ray Imaging and Machine Learning in Ultrasonic Field-Assisted Laser-Based Additive Manufacturing: A Review. [PDF]

Materials (Basel)
Fu Z, Weng Y, Deng Z, Pan J, Li A, Qin L, Wu G.   +6 more
europepmc   +1 more source

PiezoMEMS Fabrication on Flexible Stainless-Steel Substrates. [PDF]

Sensors (Basel)
Nakamura K, Huang CL, Habib Akhyari A, Argüelles AP, Jackson TN, Trolier-McKinstry S.   +5 more
europepmc   +1 more source

PdCu@rGO-based Electrochemical Sensor for Rapid Detection of Catechol. [PDF]

Sensors (Basel)
Shen X, Yan M, Wan Q, Li M, Wang X, Xu P, Zhu Y.   +6 more
europepmc   +1 more source

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Ultrasonic C-scan techniques for the evaluation of impact damage in CFRP

Materialpruefung/Materials Testing, 2021
Abstract In the present work, different ultrasonic C-scan approaches were used to evaluate Carbon Fiber Reinforced Polymers (CFRP) submitted to impacts of low energy, in order to evaluate their effectiveness for the detection and characterization of small defects.
Paulo Reis, A M Amaro, Mario J Santos
exaly   +2 more sources

Automated Ultrasonic Testing of Materials based on C-scan Flaw Classification

2021 12th International Symposium on Image and Signal Processing and Analysis (ISPA), 2021
The analysis of the data in non-destructive ultrasonic testing of materials is a very time- intensive task. To alleviate the aforementioned strain on the human expert inspectors, a plethora of assisted analysis methods based on deep learning have been developed recently.
Branimir Filipovic, Fran Milkovic, Marko Subasic, Sven Loncaric, Tomislav Petkovic, Marko Budimir   +5 more
openaire   +2 more sources

Neural network correction of ultrasonic C-scan images

Ultrasonics, 1999
A neural network-based approach to the correction of C-scan images is presented. This allows the effects of a finite ultrasonic beam diameter in an immersion experiment to be considered, by training the network on a series of defects of known characteristics. The result is an image which is a better representation of the actual defect.
D A, Hutchins, A C, Pardoe, D R, Billson, E L, Hines   +3 more
openaire   +2 more sources

Ultrasonic C-scan imaging for material characterization

Ultrasonics, 1993
Abstract Advances in the field have enabled ultrasonic C-scan imaging to go beyond its classical application of detecting large single flaws to meet the challenge of non-destructive evaluation for modern engineered structures and new materials. Increased frequency of operation and novel transducer designs have led to micrometre resolution limits for ...
G.A. Gordon, S. Canumalla, B.R. Tittmann
openaire   +1 more source

Comparison of acoustgraphy, ultrasonic spectroscopy, and c-scan ultrasonics as applied to the composite flywheels

SPIE Proceedings, 2003
The replacement of chemical batteries with composite flywheels offers many potential advantages in space applications. Before such flywheels can be successfully employed, it is imperative to ensure their integrity using NDE techniques. Previously, the use of traditional C-scan for the NDE of flywheels was compared to Scanning Ultrasonic Spectroscopy ...
Honghui Wang, Richard E. Martin, George Y. Baaklini, Jaswinder S. Sandhu   +3 more
openaire   +1 more source