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Numerical Prediction of Self-propulsion Point of AUV with a Discretized Propeller and MFR Method
Wu LH(吴利红)1; Feng XS(封锡盛)2; Sun, Xiannian1; Zhou, Tongming3
Department水下机器人研究室
Conference Name12th International Conference on Intelligent Robotics and Applications, ICIRA 2019
Conference DateAugust 8-11, 2019
Conference PlaceShenyang, China
Source PublicationIntelligent Robotics and Applications - 12th International Conference, ICIRA 2019, Proceedings
PublisherSpringer Verlag
Publication PlaceBerlin
2019
Pages137-147
Indexed ByEI
EI Accession number20193307319727
Contribution Rank2
ISSN0302-9743
ISBN978-3-030-27531-0
KeywordGlobal path planning Obstacle avoidance algorithm Improved neural network algorithm Adaptive variable stepsize Simulated annealing
AbstractIt 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.
Language英语
Document Type会议论文
Identifierhttp://ir.sia.cn/handle/173321/25492
Collection水下机器人研究室
Corresponding AuthorWu LH(吴利红)
Affiliation1.Ship Building and Ocean Engineering College, Dalian Maritime University, No. 1 Linghai Road, Dalian, China
2.State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, No. 114 Nanta Road, Shenyang, China
3.School of Civil and Resource Engineering, The University of Western Australia, 35 Stirling Highway, Crawley WA 6009, Australia
Recommended Citation
GB/T 7714
Wu LH,Feng XS,Sun, Xiannian,et al. Numerical Prediction of Self-propulsion Point of AUV with a Discretized Propeller and MFR Method[C]. Berlin:Springer Verlag,2019:137-147.
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