Zobrazeno 1 - 10
of 843
pro vyhledávání: '"Gachagan, A."'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-14 (2024)
Abstract Ultrasonic imaging, using ultrasonic phased arrays, has an enormous impact in science, medicine and society and is a widely used modality in many application fields. The maximum amount of information which can be captured by an array is prov
Externí odkaz:
https://doaj.org/article/485f4fc2b86f426d88b4eca350a89569
Autor:
Brandon Mills, Yashar Javadi, Farhad Abad, Saeid Lotfian, Charles MacLeod, Ali Mehmanparast, Gareth Pierce, Anthony Gachagan
Publikováno v:
Heliyon, Vol 10, Iss 14, Pp e34579- (2024)
This study explores the inspection of bolted connections in wind turbines, specifically focusing on the application of Phased Array Ultrasonic Testing (PAUT). The research comprises four sections: Acoustoelastic Constant calibration, high tension inv
Externí odkaz:
https://doaj.org/article/9672e62aea6847c2a1e60b30f1fd4ee3
Autor:
Mills, Brandon, Javadi, Yashar, Abad, Farhad, Lotfian, Saeid, MacLeod, Charles, Mehmanparast, Ali, Pierce, Gareth, Gachagan, Anthony
Publikováno v:
In Heliyon 30 July 2024 10(14)
Publikováno v:
In Measurement 31 March 2024 228
Autor:
Tzaferis, Konstantinos, Tabatabaeipour, Morteza, McMillan, Ross, Dobie, Gordon, Gachagan, Anthony
Publikováno v:
In Ultrasonics January 2024 136
Akademický článek
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Autor:
Yashar Javadi, Brandon Mills, Charles MacLeod, David Lines, Farhad Abad, Saeid Lotfian, Ali Mehmanparast, Gareth Pierce, Feargal Brennan, Anthony Gachagan, Carmelo Mineo
Publikováno v:
Sensors, Vol 24, Iss 5, p 1421 (2024)
This paper presents a novel approach for preload measurement of bolted connections, specifically tailored for offshore wind applications. The proposed method combines robotics, Phased Array Ultrasonic Testing (PAUT), nonlinear acoustoelasticity, and
Externí odkaz:
https://doaj.org/article/65d7b8eb68e94c2dbb6f474e8fd28b01
Autor:
Foster, Euan A., Sweeney, Nina E., Nicolson, Ewan, Singh, Jonathan, Rizwan, Muhammad K., Lines, David, Pierce, Gareth, Mohseni, Ehsan, Gachagan, Anthony, Tant, Katherine M.M., MacLeod, Charles N.
Publikováno v:
In NDT and E International July 2023 137
Deep neural networks have been successfully used in diverse emerging domains to solve real world complex problems with may more deep learning(DL) architectures, being developed to date. To achieve these state-of-the-art performances, the DL architect
Externí odkaz:
http://arxiv.org/abs/1811.03378
Publikováno v:
In International Journal of Pressure Vessels and Piping December 2022 200