Results 221 to 230 of about 572,061 (268)

Non-destructive defect detection in powder metallurgy automotive oil pump stators using acoustic signals and machine learning classification. [PDF]

PLoS One
Hadizadeh Isfahani MH, Moeenfard H, Rohani A.   +2 more
europepmc   +1 more source

Fusion model combining ultrasound-based radiomics and deep transfer learning with clinical parameters for preoperative prediction of pelvic lymph node metastasis in cervical cancer. [PDF]

Front Oncol
Wang J, Bao S, Huang T, Cai Y, Jin B, Wu J.   +5 more
europepmc   +1 more source

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A high-speed ultrasonic testing machine for tubes

Radio and Electronic Engineer, 1971
An ultrasonic flaw detection equipment has been developed for testing steel tubes at speeds compatible with modern rates of production. The system uses a series of identical probes arranged in a ring encircling the tube. Fast sequential pulsing of the probes, together with slow rotation of the tubes gives effective circumferential scanning speeds ...
G.H. Kyte, K.R. Whittington
openaire   +2 more sources

High-power, ultrasonic fatigue testing machine

Review of Scientific Instruments, 1975
A machine capable of fatigue testing high strength alloys at an ultrasonic frequency (20 kHz), and a range of temperatures likely to be encountered by such materials in aerospace and power generation applications and in basic research, is described.
J. K. Tien, S. Purushothaman, R. M. Arons, J. P. Wallace, O. Buck, H. L. Marcus, R. V. Inman, G. J. Crandall   +7 more
openaire   +2 more sources

Upgrading of an Ultrasonic Fatigue Testing Machine by Means of Early Stage Damage Detection

Materials Testing, 2013
Abstract This contribution highlights the implementation of different methods for early stage damage detection in very high cycle fatigue (VHCF) experiments by means of an ultrasonic testing machine developed by BOKU in Vienna. Basically three different methods are used for in-situ evaluation of degradation: the analysis of (i) the ...
Stephan Kovacs, Sebastian Stille, Daniel Ernstes, Tilmann Beck   +3 more
openaire   +2 more sources

Machine learning modeling for ultrasonic quality attribute assessment of pharmaceutical tablets for continuous manufacturing and real-time release testing

International Journal of Pharmaceutics
In in-process quality monitoring for Continuous Manufacturing (CM) and Critical Quality Attributes (CQA) assessment for Real-time Release (RTR) testing, ultrasonic characterization is a critical technology for its direct, non-invasive, rapid, and cost-effective nature. In quality evaluation with ultrasound, relating a pharmaceutical tablet's ultrasonic
Tipu Sultan, Enamul Hasan Rozin, Shubhajit Paul, Yin-Chao Tseng, Vivek S. Dave, Cetin Cetinkaya   +5 more
openaire   +3 more sources