Skip to content
Publish & Distribute
Publishing Solutions
Distribution Solutions
Library Services
Subjects
Architecture and Design
Arts
Business and Economics
Chemistry
Classical and Ancient Near Eastern Studies
Computer Sciences
Cultural Studies
Engineering
General Interest
Geosciences
History
Industrial Chemistry
Jewish Studies
Law
Library and Information Science, Book Studies
Life Sciences
Linguistics and Semiotics
Literary Studies
Materials Sciences
Mathematics
Medicine
Music
Pharmacy
Philosophy
Physics
Social Sciences
Sports and Recreation
Theology and Religion
Publications
Journals
Books
Proceedings
Publishers
Journal Matcher
Blog
Contact
Search
English
English
Deutsch
Polski
Español
Français
Italiano
Cart
Home
Journals
Polish Maritime Research
Volume 27 (2020): Issue 4 (December 2020)
Open Access
Feasibility Study of Rans in Predicting Propeller Cavitation in Behind-Hull Conditions
Yuxin Zhang
Yuxin Zhang
Shanghai Merchant Ship Design and Research Institute
China
Search for this author on
Sciendo
|
Google Scholar
Zhang, Yuxin
,
Xiao-ping Wu
Xiao-ping Wu
Shanghai Merchant Ship Design and Research Institute
China
Search for this author on
Sciendo
|
Google Scholar
Wu, Xiao-ping
,
Ming-yan Lai
Ming-yan Lai
Shanghai Merchant Ship Design and Research Institute
China
Search for this author on
Sciendo
|
Google Scholar
Lai, Ming-yan
,
Guo-ping Zhou
Guo-ping Zhou
Shanghai Merchant Ship Design and Research Institute
China
Search for this author on
Sciendo
|
Google Scholar
Zhou, Guo-ping
and
Jie Zhang
Jie Zhang
Shanghai Maritime University
China
Search for this author on
Sciendo
|
Google Scholar
Zhang, Jie
Dec 24, 2020
Polish Maritime Research
Volume 27 (2020): Issue 4 (December 2020)
About this article
Previous Article
Next Article
Abstract
References
Authors
Articles in this Issue
Preview
PDF
Cite
Share
Download Cover
Published Online:
Dec 24, 2020
Page range:
26 - 35
DOI:
https://doi.org/10.2478/pomr-2020-0063
Keywords
RANS
,
Computational Fluid Dynamics (CFD)
,
propeller cavitation
,
turbulence model
,
grid sensitivity
© 2020 Yuxin Zhang et al., published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 International License.
