| Issue |
MATEC Web Conf.
Volume 108, 2017
2017 International Conference on Mechanical, Aeronautical and Automotive Engineering (ICMAA 2017)
|
|
|---|---|---|
| Article Number | 07003 | |
| Number of page(s) | 5 | |
| Section | Vehicle and Ship Engineering | |
| DOI | https://doi.org/10.1051/matecconf/201710807003 | |
| Published online | 31 May 2017 | |
Research on Fairing design and CFD Analysis of Submarine Pipeline Inspection ARV
1 Beijing University Of Posts And Telecommunications, Beijing, China
2 Kunming Shipborne Equipment Research & Test Center, Kunming, China
Along with the fast development of the ocean exploitation, the cost-effective requirement of autonomous & remotely operated vehicle (ARV), which can perform more complicated missions such as the oil exploitation and the inspection of the submarine pipeline is more urgent. The submarine pipeline inspection ARV can help us better understand, protect and efficiently utilize them for human welfare. Fairing design of a new detection ARV are introduced in this paper. In order to select an appropriate thruster that will achieve the required speed of the ARV, the ANSYS-CFX tools are used to predicted the drag force. The CFD results reveal the distribution of velocity and pressure values of the ARV. In order to verify the CFD modeling process, a towed body was developed and analyzed, compared against the corresponding physical test data.
© The Authors, published by EDP Sciences, 2017
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.