Hydrodynamic Performance of Open-frame Deep Sea Remotely Operated Vehicles Based on Computational Fluid Dynamics Method

Source:
By:Qianrong Li, Baoji Zhang

DOI: https://doi.org/10.30564/jms.v4i1.4115

Abstract:

The resistance performance and motion stability of deep sea remotely operated vehicles (ROVs) subjected to underwater motion conditions are studied on the basis of the unsteady Reynolds-averaged Navier-Stokes method combined with the six-degree-of-freedom equation of motion to quickly and accurately predict them. In the modeling process, we consider the complexity of ROV geometry and thus reduce the model to a series of regular geometries to maximize the position and weight of the original components. The grid and value slots of an ROV are divided, and the surface is reconstructed. The forward, backward, transverse, floating, and submerged resistance of ROVs are simulated and compared with existing experimental forces to determine the accuracy of the calculation method. Then, the oblique navigation of the ROV on the horizontal and vertical planes is studied. Furthermore, the motion response of the ROV to direct horizontal motion, heave, pitch, and yaw are studied. The force, moment, and motion time curves are obtained. The stability of ROV motion is analyzed to provide technical support for the safety of ROVs.

References:

[1]Zhang, Y., Xu, G.H., Xu, X.L., et al., 2010. Mensuration of the Hydrodynamic Coefficients of the Micro Miniature Open-shelf Underwater Vehicle. Shipbuilding of China. 51(1), 63-72. [2]Juan, P., Julca, A., Julio, C.A., 2011. Experimental Evaluation of the Hydrodynamic Coefficient of a ROV Through Morison’s Equation. Ocean Engineering. 38(17-18), 2162-2170. [3]Fan, S.B., Lian, L., 2012. Oblique Towing Test and Maneuver Simulation at Low Speed and Large Drift Angle for Deep Sea Open-Framed Remotely Operated Vehicle. Journal of Hydrodynamics. 24(2), 280-286. [4]Leong, Z., Ranmuthugala, D., Forrest, A., et al., 2015. Numerical investigation of the hydrodynamic interaction between two underwater bodies in relative motion. Appl Ocean Res. 51, 14-24. [5]Kang, T., Hu, K., Hu, Z.Q., et al., 2005. Research on maneuverability simulation calculation of underwater vehicle by CFX and USAERO. Robot. 27(6), 535- 538. [6]Alexander, P., Maaten, F., Stephen, R.T., 18-21 June 2007. The use of computational fluid dynamics to assess the hull resistance of concept autonomous underwater vehicles. In: Proceedings of the oceans 2007—Europe, Aberdeen, New York: IEEE. pp.1292-1297. [7]Zhang, H., Xu, Y.R., Cai, H.P., 2010. Using CFD software to calculate hydrodynamic coefficient. Journal of Marine Science and Application. 9(2), 149-155. [8]Wang, T., Ye, X.F., Wang, L., et al., 7-10 August 2011. Hydrodynamic analysis and optimization for dish shaped underwater robot. In: Proceedings of the 2011 international conference on mechanics and automation, Beijing, China. New York: IEEE. pp.1406-1411. [9]Chin, C., Lau, M., 2012. Modeling and testing of hydrodynamic damping model for a complex-shaped remotely-operated vehicle for control. J Mar Sci Appl. 11(2), 150-163. [10]Nedelcu, A., Trbu, O., Clinci, C., Ichimoaiei, G., 2018. CFD approach used for modelling hydrodynamic analysis and motion characteristics of a remotely operated vehicle. IOP C Ser Earth Env. 170, 012029. [11]Badawy, A.M., Omer, A.A., 2013. Dynamic analysis of remotely operated underwater vehicle model. International Journal of Engineering Science Invention. 2(7), 5-16. [12]José, B.M., Lucas, A.B., 2015. Drag evaluation of a remotely operated vehicle. 23rd ABCM International Congress of Mechanical Engineering, December 6-11, Rio de Janeiro, RJ, Brazil. [13]Wang, C., Zhang, F., Schaefer, D., 2014. Dynamic modeling of an autonomous underwater vehicle. J Mar Sci Technol. 20(2), 199-212. [14]Skorpa, S., 2002. Numerical simulation of flow around remotely operated vehicle (ROV). Master’s Thesis, Norwegian University of Science and Technology, Trondheim. [15]Vaz, G., Toxopeus, S., Holmes, S., 6-11 June 2010. Calculation of manoeuvring forces on submarines using two viscous-flow solvers. In: Proceedings of the ASME 2010 29th international conference on ocean, offshore and arctic engineering (Paper no. OMAE2010-20373), Shanghai, China. New York: American Society of Mechanical Engineers. pp. 621- 633. [16] Yu, G., Wang, Z., Ling, H., 2018. Research on hydrodynamic performance of rotatable cable underwater robot. Int J Eng Appl Sci. 5(10), 36-42. [17] Chin, C.S., Lin, W.P., Lin, J.Y., 2018. Experimental validation ofopen-frame ROV model for virtual reality simulation and control. J Mar Sci Technol. 23(2), 267-287. [18] Andra, T.N., Catalin, F., Mihail, L.D., 2018. CFD analysis for a remotely operated vehicle in horizontal plan. Mechanical Testing and Diagnosis. 1, 5-10. [19] Teague, J., Michael Allen, J., Tom, B., 2018. The potential of low-cost ROV for use in deep-sea mineral, ore prospecting. Ocean Eng Monitor. 147, 333-339. [20] Juan, A., Ram´ırez-Mac´ıas, Persijn, B., et al., 2016. Hydrodynamic modeling for the remotely operated vehicle Visor3 using CFD. Preprints, 10th IFAC Conference on Control Applications in Marine Systems September 13-16, Trondheim, Norway. [21] Christian, B., Jose, R., Carlos, P.A., 2013. Hydrodynamic Assessment of a Remotely Operated Underwater Vehicle Based on Computational Fluid Dynamic-Part 1-Numerical Simulation. CMES. 90(2), 165- 177. [22] Hung, D.N., Sachith, M., Dev, R., 2013. Design, modeling and simulation of a remotely operated vehicle-part1.Journal of Computer Science and Cybernetics. 29(4), 299-312. [23] Lau, W., Low, E., Seet, G., et al., 2008. Estimation of the Hydrodynamics Coefficients of an ROV using Free Decay Pendulum Motion. Engineering Letters. 16(3), 326-331. [24] Muljowidodo, K., Sapto, A.N., Nico, P., et al., 2009. Design and testing of underwater thruster for SHRIMR ROV-ITB. Indian journal of Marine Sciences. 38(3), 338-345. [25] James, J., Brian, P., 2014. Development of an adaptable monitoring package for marine renewable energy projects part II: hydrodynamic performance. Proceedings of the 2nd Marine Energy Technology Symposium, April 15-18, Seattle, WA. [26] Mingyu, K., Olgun, H., Osman, T., 2017. Numerical studies on added resistance and motions of KVLCC2 in head seas for various ship speeds. Ocean Eng. 140, 466-476. [27] Yavuz, H., Ozdemir, B.B., 2017. Numerical study of ship motions and added resistance in regular incident waves of KVLCC2 model. Int J Nav Arch Ocean. 9, 149-159. [28] Longo, J., Stern, F., 2005. Uncertainty assessment for towing tank tests with example for surface combatant DTMB model 5415. J Ship Res. 49(1), 55-68. [29] Bradshaw, P., Huang, G.P., 1995. The Law of the Wall in Turbulent Flow . Proceedings: Mathematical and Physical Sciences. Osborne Reynolds Centenary. 451(1941), 165-188. [30] Yang, C., Zhu, R., Miao, G., 2012. Uncertainty Analysis in CFD for Flow Simulation Around Ship Using RANS and DES. Journal of Shang Hai Jiao Tong University. 46(3), 430-435.