Experimental Results of an Underwater Glider Hydraulic Model Test in Towing Tank of NIMALA

Document Type : Original Article


1 Department of Energy Conversion Takestan, Islamic Azad University, Takestan, Iran

2 Naval Architecture and Marine Engineering, Malek Ashtar University of Technology, Iran

3 Department of Civil Engineering, Shahrood University of Technology, Shahrood, Iran


In this article, the hydraulic experimental results of a model of an underwater glider in the marine laboratory (towing tank) of NIMALA are presented. In these hydraulic tests, the resistance force has been extracted at 7 speeds and in three different states (surface and near surface and submerged). Conducting tests in the submerged mode have special hydraulic difficulties because in addition to the model resistance, there are also the struts resistance. It is also important to extend the hydraulic results between the main vehicle and the laboratory model. Today, underwater gliders have many applications in engineering, and accurate calculation of their resistance is very important. These experimental results can be used for validation of CFD modeling in other research works and articles. The main body of the model is taken from Suboff laboratory model, whose validated hydraulic results and hydrodynamic resistance coefficients are available from the laboratory of David Taylor.


Ageev, M.D., Blidberg, D.R., Jalbert, J., Melchin, C.J., and Troop, D.P., 2002. Results of the evaluation and testing of the solar powered AUV and its subsystems, Proceedings of the 2002 Workshop on Autonomous Underwater Vehicles, 2002. IEEE, pp. 137-145.
Asadi Asrami, E., and Moonesun, M., Numerical and experimental investigation of the hydrodynamic Lift and Drag coefficients of a solar-powered AUV in near-surface mode. International Journal of Maritime Technology, pp. 1-26.
Asadi Asrami, E.A., Moonesun, M., and Abi, F.A., 2021. Computational fluid dynamics and experimental hydrodynamic analysis of a solar AUV. Computer Assisted Methods in Engineering and Science, 28(1), pp. 57-77.
Azcueta, R., 2003. Steady and unsteady RANSE simulations for planing crafts. FAST Sea Transportation, Ischia, Italy.
Blidberg, D.R., Chappell, S., and Jalbert, J.C., 2004. Long endurance sampling of the ocean with solar powered AUV's. IFAC Proceedings Volumes, 37(8), pp. 561-566.
Blidberg, D.R., Jalbert, J., and Ageev, M.D., 1997. Some design considerations for a solar powered AUV; Energy management and its impact on operational characteristics, International Symposium On Unmanned Untethered Submersible Technology. Citeseer, pp. 50-59.
Crimmins, D.M., Patty, C.T., Beliard, M.A., Baker, J., Jalbert, J.C., Komerska, R.J., Chappell, S.G., and Blidberg, D.R., 2006. Long-endurance test results of the solar-powered AUV system, OCEANS 2006. IEEE, pp. 1-5.
De Luca, F., Mancini, S., Miranda, S., and Pensa, C., 2016. An extended verification and validation study of CFD simulations for planing hulls. Journal of Ship Research, 60(02), pp. 101-118.
Divsalar, K., 2020. Improving the hydrodynamic performance of the SUBOFF bare hull model: a CFD approach. Acta Mechanica Sinica, 36(1), pp. 44-56.
Duarte, C., Martel, G., Eberbach, E., and Buzzell, C., 2003. A common control language for dynamic tasking of multiple autonomous vehicles, Proc. of the 13th Intern. Symp. on Unmanned Untethered Submersible Technology UUST, pp. 24-27.
Griffiths, G., 2002. Technology and applications of autonomous underwater vehicles, 2. CRC Press.
Hoque, M.A., Karim, M.M., and Rahman, A., 2017. Simulation of water wave generated by shallowly submerged asymmetric hydrofoil. Procedia engineering, 194, pp. 38-43.
Komerska, R., Chappell, S., Peng, L., and Blidberg, D., 1999. Generic behaviors as an interface for a standard AUV command & monitoring language. AUSI Technical Report 9904–01.
Mateja, K., Skarka, W., Peciak, M., Niestrój, R., and Gude, M., 2023. Energy Autonomy Simulation Model of Solar Powered UAV. Energies, 16(1), pp. 479.
Yan, Z., Yan, J., Wu, Y., Cai, S., and Wang, H., 2023. A novel reinforcement learning based tuna swarm optimization algorithm for autonomous underwater vehicle path planning. Mathematics and Computers in Simulation, 209, pp. 55-86.
Zheng, H., Wang, X., and Xu, Z., 2017. Study on hydrodynamic performance and CFD simulation of AUV, 2017 IEEE International Conference on Information and Automation (ICIA). IEEE, pp. 24-29.