Influence of the Blocking Effect of Circulating Water Channels on Hydrodynamic Coefficient Estimation for Autonomous Underwater Vehicles

Lingyu Li , Hongde Qin , Peng Li , Xiangqian Wang

Journal of Marine Science and Application ›› 2023, Vol. 22 ›› Issue (3) : 411 -420.

PDF
Journal of Marine Science and Application ›› 2023, Vol. 22 ›› Issue (3) : 411 -420. DOI: 10.1007/s11804-023-00354-6
Research Article

Influence of the Blocking Effect of Circulating Water Channels on Hydrodynamic Coefficient Estimation for Autonomous Underwater Vehicles

Author information +
History +
PDF

Abstract

The Reynolds-averaged Navier–Stokes (RANS) equation was solved using computational fluid dynamics to study the effect of the circulating tank wall on the hydrodynamic coefficient of an autonomous underwater vehicle (AUV). Numerical results were compared with the experimental results in the circulating water tank of Harbin Engineering University. The numerical results of the model with different scale ratios under the same water in the flume were studied to investigate the effect of blockage on the hydrodynamic performance of AUV in the circulating flume model test. The results show that the hydrodynamic coefficient is stable with the scale reduction of the model. The influence of blocking effect on AUV is given by combining theoretical calculation with experiment.

Keywords

Hydrodynamic coefficients / Blocking effect / Circulating water channel (CWC) / Model test / Autonomous underwater vehicle

Cite this article

Download citation ▾
Lingyu Li, Hongde Qin, Peng Li, Xiangqian Wang. Influence of the Blocking Effect of Circulating Water Channels on Hydrodynamic Coefficient Estimation for Autonomous Underwater Vehicles. Journal of Marine Science and Application, 2023, 22(3): 411-420 DOI:10.1007/s11804-023-00354-6

登录浏览全文

4963

注册一个新账户 忘记密码

References

[1]

Avila JJ, Nishimoto K, Sampaio CM, Adamowski JC. Experimental investigation of the hydrodynamic coefficients of a remotely operated vehicle using a planar motion mechanism. Journal of Offshore Mechanics & Arctic Engineering, 2012, 134(2): 021601

[2]

Biringen S, Chow CY (2011) Viscous fluid flows. John Wiley & Sons, Ltd, 20–25

[3]

Botelho S, Neves R, Taddei L (2005) Localization of a fleet of AUVs using visual maps. Europe Oceans 2005 IEEE, 1320–1325

[4]

Chakrabarti R, Gelze J, Heinz L, Schmidt T (2014) Maneuverability and handling of the penguin-shaped autonomous underwater vehicle (AUV) PreToS, analytical and experimental results. OCEANS 2014, Taipei, China, 1–6

[5]

Dey S, Ali SZ, Padhi E. Hydrodynamic lift on sediment particles at entrainment: Present status and its prospect. Journal of Hydraulic Engineering, 2020, 145(6): 03120001

[6]

Edwards DB, Bean TA, Odell DL, Anderson MJ (2004) A leader-follower algorithm for multiple AUV formations. 2004 IEEE/OES Autonomous Underwater Vehicles, Sebasco, 40–46. DOI: https://doi.org/10.1109/AUV.2004.1431191

[7]

Jagadeesh P, Murali K, Idichandy VG. Experimental investigation of hydrodynamic force coefficients over AUV hull form. Ocean Engineering, 2009, 36(1): 113-118

[8]

Javanmard E. Determination of drag and lift related coefficients of an AUV using computational and experimental fluid dynamics methods. International Journal of Maritime Engineering, 2013, 62: A177-A191

[9]

Kepler ME, Pawar S, Stilwell DJ, Brizzolara S, Neu WL (2018) Assessment of AUV hydrodynamic coefficients from analytic and semi-empirical methods. MTS/IEEE Charleston OCEANS, Charleston, 667–675

[10]

Krishnankutty P, Anantha S, Francis R, Nair PP, Krishnamachari S (2014) Experimental and numerical studies on an underwater towed body. 33rd International Conference on Ocean, Offshore and Arctic Engineering, San Francisco, V08BT06A050

[11]

Kumar M, Subramanian VA. A numerical and experimental study on tank wall influences in drag estimation. Ocean Engineering, 2007, 34(1): 192-205

[12]

Liu H, Ning MA, Gu XC. Calculation of the hydrodynamic forces of ship model oblique towing test in circulating water channel by considering side wall effect correction. Journal of Shanghai Jiao Tong University, 2017, 51(2): 142-149

[13]

Lee SK, Joung TH, Cheon SJ, Jang TS, Lee JH. Evaluation of the added mass for a spheroid-type unmanned underwater vehicle by vertical planar motion mechanism test. International Journal of Naval Architecture & Ocean Engineering, 2011, 3(3): 174-180

[14]

Mansoorzadeh S, Javanmard E. An investigation of free surface effects on drag and lift coefficients of an autonomous underwater vehicle (AUV) using computational and experimental fluid dynamics methods. Journal of Fluids & Structures, 2014, 51: 161-171

[15]

Qi XZ, Miao AQ, Wan DC. CFD calculation of hydrodynamic derivatives of underwater vehicle. Journal of Hydrodynamics, 2018, 33(3): 297-304

[16]

Randeni SAT. Numerical investigation of the hydrodynamic interaction between two underwater bodies in relative motion. Applied Ocean Research, 2015, 51: 14-24

[17]

Renilson M (2018) Submarine hydrodynamics. Springer, 130–135. https://doi.org/10.1007/978-3-319-79057-2

[18]

Sun TS, Chen GY, Yang SQ, Wang YH, Wang YZ, Tan H, Zhang LH. Design and optimization of a bio-inspired hull shape for AUV by surrogate model technology. Engineering Applications of Computational Fluid Mechanics, 2021, 15(1): 1057-1074

[19]

Tian W, Mao ZY, Zhao FL, Zhao ZC. Layout optimization of two autonomous underwater vehicles for drag reduction with a combined CFD and neural network method. Complexity, 2017, 2017(2): 5769794

[20]

Tian XJ, Liu YX, Liu GJ, Xie YC, Wang SQ. Experimental study on influencing factors of hydrodynamic coefficient for jack-up platform. Ocean Engineering, 2019, 193: 106588

[21]

Wu L, Li YP, Su SJ, Yan P, Qin Y. Hydrodynamic analysis of AUV underwater docking with a cone-shaped dock under ocean currents. Ocean Engineering, 2014, 85: 110-126

[22]

Wang XY, Yang CG, Ju ZJ, Ma HB, Fu MY. Robot manipulator self-identification for surrounding obstacle detection. Multimedia Tools & Applications, 2016, 76(5): 6495-6520

[23]

Wang SX, Yang M, Wang YH, Yang SQ, Lan SQ, Zhang XH. Optimization of flight parameters for Petrel-L underwater glider. IEEE Journal of Oceanic Engineering, 2021, 46(3): 817-828

[24]

Yang M, Wang YH, Yang SQ, Zhang LH, Deng JJ. Shape optimization of underwater glider based on approximate model technology. Applied Ocean Research, 2021, 110: 102580

[25]

Zhang XG, Zou ZJ. Estimation of the hydrodynamic coefficients from captive model test results by using support vector machines. Ocean Engineering, 2013, 73: 25-31

AI Summary AI Mindmap
PDF

157

Accesses

0

Citation

Detail

Sections
Recommended

AI思维导图

/