Zobrazeno 1 - 10
of 72
pro vyhledávání: '"Mao, Ken"'
Publikováno v:
In Wear 15 October 2023 530-531
A deep learning empowered smart representative volume element method for long fiber woven composites
Autor:
Mao-Ken Hsu, Wei Chen, Bo-Yu Huang, Li-Hsuan Shen, Chia-Hsiang Hsu, Rong-Yeu Chang, Chi-Hua Yu
Publikováno v:
Frontiers in Materials, Vol 10 (2023)
In response to the global trend of carbon reduction over the last few years, various industries, including the aviation and automobile industries, have gradually begun research, design, and production of carbon fiber composite materials. These have e
Externí odkaz:
https://doaj.org/article/3f65987ae21843668faa42d0e4c0dd8b
Publikováno v:
In Tribology International January 2020 141
Autor:
Mao, Ken, Greenwood, Dave, Ramakrishnan, Ramkumar, Goodship, Vannessa, Shrouti, Chetan, Chetwynd, Derek, Langlois+, Paul
Publikováno v:
In Wear 30 April 2019 426-427 Part B:1033-1039
Publikováno v:
In Tribology International March 2018 119:698-706
Akademický článek
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Publikováno v:
In Applied Thermal Engineering 5 February 2015 76:54-63
Autor:
Zhang, Ye1 (AUTHOR) ye.zhang@warwick.ac.uk, Mao, Ken1 (AUTHOR), Leigh, Simon1 (AUTHOR), Shah, Akeel1 (AUTHOR), Chao, Zhiming1 (AUTHOR), Ma, Guotao1 (AUTHOR)
Publikováno v:
International Journal of Advanced Manufacturing Technology. Apr2020, Vol. 107 Issue 11/12, p4481-4492. 12p. 5 Diagrams, 1 Chart, 7 Graphs.
Autor:
Mao Ken, Cheng Wang
Publikováno v:
Proceedings of the Institution of Mechanical Engineers, Part J: Journal of Engineering Tribology. 235:1551-1560
The sliding friction coefficient on tooth surface is related to power loss, carry capacity and transmission performance of gear. Reasonable transmission analysis of gear pair is the premise of accurate calculation of sliding friction coefficient on t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e32c3f10c6f819ba0443e826f44e6361
https://doi.org/10.1177/1350650120966894
https://doi.org/10.1177/1350650120966894