| 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
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| Department | 水下机器人研究室 |
| Conference Name | 12th International Conference on Intelligent Robotics and Applications, ICIRA 2019 |
| Conference Date | August 8-11, 2019 |
| Conference Place | Shenyang, China |
| Source Publication | Intelligent Robotics and Applications - 12th International Conference, ICIRA 2019, Proceedings |
| Publisher | Springer Verlag |
| Publication Place | Berlin |
| 2019 | |
| Pages | 137-147 |
| Indexed By | EI ; CPCI（ISTP） |
| EI Accession number | 20193307319727 |
| WOS ID | WOS:000569253400012 |
| Contribution Rank | 2 |
| ISSN | 0302-9743 |
| ISBN | 978-3-030-27531-0 |
| Keyword | Global path planning Obstacle avoidance algorithm Improved neural network algorithm Adaptive variable stepsize Simulated annealing |
| 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. |
| Language | 英语 |
| Citation statistics | |
| Document Type | 会议论文 |
| Identifier | http://ir.sia.cn/handle/173321/25492 |
| Collection | 水下机器人研究室 |
| Corresponding Author | Wu LH(吴利红) |
| Affiliation | 1.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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| File Name/Size | DocType | Version | Access | License | ||
| Numerical Prediction（3005KB） | 会议论文 | 开放获取 | CC BY-NC-SA | View Application Full Text | ||
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