Numerical Prediction of Self-propulsion Point of AUV with a Discretized Propeller and MFR Method

Lihong Wu, Xisheng Feng, Xiannian Sun, Tongming Zhou

Research output: Chapter in Book/Conference paperConference paper

Abstract

It is important to determine the self-propulsion point for marine vehicles to evaluate the approaching velocity output from a determined propeller. A method is presented that significantly reduces the computational cost by coupling a discretized propeller with a MFR (Multiple Frames of Reference) method for evaluation of the propulsion factors of AUV (Autonomous Underwater Vehicle). The predicted approaching velocity in this study was approximately 2.8% lower than the design value of 1.0 m/s obtained using nominal wake fraction, which can be attributed to increased energy dissipation for the water at the wake caused by the propeller. The effective wake fraction was 0.303 and the thrust deduction was 0.163.Vortex pairing was found at the blade tip and developed downstream of the propeller. In addition, the hull and tail-planes were beneficial for improving the thrust of the propeller. The proposed method is a viable option to validate fluid dynamics analyses of the unsteady motion of self-propelled marine vehicles simulated with physics-based methods, particularly for cases which have a shortage of experimental data.

Original languageEnglish
Title of host publicationIntelligent Robotics and Applications - 12th International Conference, ICIRA 2019, Proceedings
EditorsHaibin Yu, Jinguo Liu, Lianqing Liu, Yuwang Liu, Zhaojie Ju, Dalin Zhou
PublisherSpringer-Verlag Berlin
Pages137-147
Number of pages11
Volume11741
ISBN (Print)9783030275310
DOIs
Publication statusPublished - 2 Aug 2019
Event12th International Conference on Intelligent Robotics and Applications, ICIRA 2019 - Shenyang, China
Duration: 8 Aug 201911 Aug 2019

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume11741 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference12th International Conference on Intelligent Robotics and Applications, ICIRA 2019
CountryChina
CityShenyang
Period8/08/1911/08/19

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  • Cite this

    Wu, L., Feng, X., Sun, X., & Zhou, T. (2019). Numerical Prediction of Self-propulsion Point of AUV with a Discretized Propeller and MFR Method. In H. Yu, J. Liu, L. Liu, Y. Liu, Z. Ju, & D. Zhou (Eds.), Intelligent Robotics and Applications - 12th International Conference, ICIRA 2019, Proceedings (Vol. 11741, pp. 137-147). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11741 LNAI). Springer-Verlag Berlin. https://doi.org/10.1007/978-3-030-27532-7_12