Added mass analysis of submersible using computational fluid dynamics

Authors

  • Rahul Bharti Deep Sea Technology, National Institute of Ocean Technology, Chennai 600100, India
  • Bhaskaran Pranesh Deep Sea Technology, National Institute of Ocean Technology, Chennai 600100, India
  • Dharmaraj Sathianarayanan Deep Sea Technology, National Institute of Ocean Technology, Chennai 600100, India
  • Manickavasagam Palaniappan Deep Sea Technology, National Institute of Ocean Technology, Chennai 600100, India
  • Gidugu Ananda Ramadass Deep Sea Technology, National Institute of Ocean Technology, Chennai 600100, India

DOI:

https://doi.org/10.33175/mtr.2024.267954

Keywords:

Manned submersible, Computational fluid dynamics, Resistance, Flow analysis, Added mass

Abstract

An estimation of the resistance acting on a manned submersible can be performed using computational fluid dynamics (CFD). The resistance force acting on a vehicle can be steady state or transient state drag. Steady state drag comes when a vehicle moves at a constant velocity but drag value increases or decreases when the vehicle accelerates or decelerates. Transient state drag acts on a vehicle when velocity changes. The addition or reduction in drag value is due to the added mass. This paper discusses two CFD approaches to calculate longitudinal added mass. The second CFD method is preferred due to the inaccuracy and assumptions involved in the first method. The preferred CFD method can be used to obtain the added mass for both standard shapes, as well as for complicated geometries like manned submersibles. The drag and added mass of the ellipsoid are calculated using CFD and compared with analytical and experimental results for validation. Additionally, an acceleration sensitivity study indicates that added mass is independent of acceleration. CFD methods proposed here are simple and time-efficient. By using this method, a submersible’s added mass can be calculated without employing expensive experimental methods or other CFD methods.

Highlights

  • A vehicle’s steady-state drag develops when moving at constant velocity, but the amount of drag increases or decreases when accelerating or decelerating
  • The CFD method can be used to obtain the added mass of more complicated geometries like manned submersibles and standard shapes like spheres and cylinders
  • An acceleration sensitivity study indicates that added mass is independent of acceleration

References

Bharti, R., Pranesh, S. B., Sathianarayanan, D., Palaniappan, M., & Ramadass, G. A. (2022). Flow analysis of manned submersible. In Proceedings of the OCEANS 2022, Chennai (pp. 1-5). IEEE. https://doi.org/10.1109/OCEANSChennai45887.2022.9775511

Ferreira, B., Pinto, M., Matos, A., & Cruz, N. (2009). Hydrodynamic modeling and motion limits of AUV MARES. In Proceedings of the 35th Annual Conference of IEEE Industrial Electronics, Porto, Portugal (pp. 2241-2246). https://doi.org/10.1109/IECON.2009.5415198

Fossen, T. I. (1994). Guidance and control of ocean vehicles. John Wiley & Sons.

Javanmard, E. (2013). Determination of hydrodynamic coefficients of an AUV with computational fluid dynamics and experimental fluid dynamics methods (MSc Thesis). Department of Mechanical Engineering, Isfahan University of Technology, Isfahan, Iran.

Javanmard, E., & Mansoorzadeh, S. H. (2019). A computational fluid dynamics investigation on the drag coefficient measurement of an AUV in a towing tank. Journal of Applied Fluid Mechanics, 12, 947-959. https://doi.org/10.29252/jafm.12.03.29525

Javanmard, E., Mansoorzadeh, S., & Mehr, J. A. (2020). A new CFD method for determination of translational added mass coefficients of an underwater vehicle. Ocean Engineering, 215, 107857. https://doi.org/10.1016/j.oceaneng.2020.107857

Korotkin, A. I. (2009). Added masses of ship structures. Krylov Shipbuilding Research Institute, Springer, St. Petersburg, Russia. https://doi.org/10.1007/978-1-4020-9432-3

Lamb, S. H. (1945). Hydrodynamics (pp. 152-155). 6th eds. Dover Publications. https://doi.org/10.1038/155152c0

Lin, Z., & Liao, S. (2011). Calculation of added mass coefficients of 3D complicated underwater bodies by FMBEM. Communications in Nonlinear Science and Numerical Simulation, 16(1), 187-194. https://doi.org/10.1016/j.cnsns.2010.02.015

Pan, Y. C., Zhang, H. X., & Zhou, Q. D. (2012). Numerical prediction of submarine hydrodynamic coefficients using CFD simulation. Journal of Hydrodynamics, 24, 840-847. https://doi.org/10.1016/S1001-6058(11)60311-9

Phillips, A., & Turnock, S. R. (2010a). Influence of turbulence closure models on the vertical flow field around a submarine body undergoing steady drift. Journal of Marine Science and Technology, 15, 201-217. https://doi.org/10.1007/s00773-010-0090-1

Phillips, A., Furlong, M., & Turnock, S. R. (2007). The use of computational fluid dynamics to determine the dynamic stability of an autonomous underwater vehicle (pp. 6-11). In Proceedings of the 10th Numerical Towing Tank Symposium, Hamburg, Germany. https://doi.org/10.1109/OCEANSE.2007.4302434

Phillips, A., Furlong, M., & Turnock, S. R. (2010b). The use of computational fluid dynamics to aid cost-effective hydrodynamic design of autonomous underwater vehicles. Journal of Engineering for the Maritime Environment, 224(4), 239-254. https://doi.org/10.1243/14750902JEME

Pranesh, S. B., Rajput, N. S., Sathianarayanan, D., Palaniappan, M., & Ramadass, G. A. (2023). CFD analysis of the hull form of a manned submersible for minimizing resistance. Journal of Ocean Engineering and Marine Energy, 9(1), 125-143. https://doi.org/10.1007/s40722-022-00232-3

Prestero, T. (2001). Verification of a six-degree of freedom simulation model for the REMUS autonomous underwater vehicle (MSc Thesis). Massachusetts Institute of Technology. https://doi.org/10.1575/1912/3040

Sahin, I., Crane, J. W., & Watson, K. P. (1993). Added mass coefficients for submerged bodies by a low-order panel method. Journal of Fluids Engineering, 115(3), 452-457. https://doi.org/10.1115/1.2910159

Sahin, I., Crane, J. W., Watson, K. P. (1997). Application of a panel method to hydrodynamics of underwater vehicles. Ocean Engineering, 24, 501-512. https://doi.org/10.1016/S0029-8018(96)00026-1

Sakamoto, N. (2009). URANS, DES simulations of static and dynamic manoeuvring for surface combatant (Ph.D. Thesis). University of Iowa.

Shi, X. (2015). Manned submersibles, the efficient tools for exploring deep-sea creatures. Journal of Aquaculture & Marine Biology, 3(3), 00067. https://doi.org/10.15406/jamb.2015.03.00067

Tang, S., Ura, T., Nakatani, T., Thornton, B., Jiang, T. (2009). Estimation of the hydrodynamic coefficients of the complex-shaped autonomous underwater vehicle TUNA-SAND. Journal of Marine Science and Technology, 14, 373-386. https://doi.org/10.1007/s00773-009-0055-4

Taylor, G. I. (1928). The energy of a body moving in an infinite fluid, with an application to airships. Proceedings of the Royal Society of London Series A, Containing Papers of a Mathematical and Physical Character, 120(784), 13-21. https://doi.org/10.1098/rspa.1928.0131

Zhang, H., Xu, Y. R., Cai, H. P. (2010). Using CFD software to calculate hydrodynamic coefficients. Journal of Marine Science and Application, 9, 149-155. https://doi.org/10.1007/s11804-010-9009-9

Zhang, S. H., Yu, J., Zhang, A., Zhang, F. (2013a). Spiraling motion of underwater gliders: Modeling, analysis, and experimental results. Ocean Engineering, 60, 1-13. https://doi.org/10.1016/j.oceaneng.2012.12.023

Zhang, X. G., Zou, Z. J. (2013b). Estimation of the hydrodynamic coefficients from captive mode test results by using support vector machines. Ocean Engineering, 73, 25-31. https://doi.org/10.1016/j.oceaneng.2013.07.007

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Published

2024-02-03