CFD data based neural network functions for predicting hydrodynamic performance of a low-pitch marine cycloidal propeller-Reference-Cited by-同舟云学术

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CFD data based neural network functions for predicting hydrodynamic performance of a low-pitch marine cycloidal propeller

Published:2020-01 Issue: Volume:94 Page:101981
ISSN:0141-1187
Container-title:Applied Ocean Research
language:en
Short-container-title:Applied Ocean Research

Author:

Bakhtiari Mohammad,Ghassemi Hassan

Publisher

Elsevier BV

Subject

Ocean Engineering

Reference35 articles.

1. www.maritimejournal.com/news101/power-and-propulsion/vsps_enter_psv_market.

2. Http://patents.google.com/patent/US1432700A.

3. Http://patents.google.com/patent/US1681500A.

4. A Survey of Cycloidal Propulsion;Henry,1959

5. Sea trial analysis of the vertical axis propellers;Taniguchi,1962

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