Neuro-fuzzy based approach for estimation of Hydrofoil performance
作者： M.H. Djavareshkian , A. Esmaeili
DOI: 10.1016/J.OCEANENG.2012.10.015
关键词:
摘要: Abstract In this research, a numerical procedure is used to solve the Navier-Stokes equation on submerge hydrofoil and estimation of performance done by an Adaptive Neuro-Fuzzy Inference System (ANFIS) model. A pressure-based implicit technique non-orthogonal mesh with collocated finite volume formulation are simulate flow around hydrofoil. The incorporates k−e eddy-viscosity turbulence model Volume Fluid (VOF) process has been utilized two-phase fluid (water air). mentioned method, analyses thickness camber effect hydrofoil, distance (h/c), angle attack (AOA) make impression performance. To verify simulation, part presented results compared published experimental data. This comparison confirms process. Moreover, configuration operating condition assessed ANFIS Consequently, prove that can predicate very well.
um.ac.ir
elsevier.com
sci-hub.se 参考文章(31)
Francesco Lalli, Giovanni Paolo Romano, Paolo De Blasi, Fabio Di Felice, Experimental Study of Breaking Wave Flow Field Past a Submerged Hydrofoil By LDV International Journal of Offshore and Polar Engineering. ,vol. 10, pp. 263- 268 ,(1999)
Dwayne Anthony Bourgoyne, Flow over a hydrofoil with trailing edge vortex shedding at high-Reynolds number Ph.D. Thesis. ,(2003)
S. I. Filippov, Flow Past a Submerged Hydrofoil Fluid Dynamics. ,vol. 36, pp. 489- 496 ,(2001) , 10.1023/A:1019200521581
A IGLESIASNUNO, B ARCAY, J COTOS, J VARELA, Optimisation of fishing predictions by means of artificial neural networks, anfis, functional networks and remote sensing images Expert Systems With Applications. ,vol. 29, pp. 356- 363 ,(2005) , 10.1016/J.ESWA.2005.04.008
Antonio Carcaterra, Daniele Dessi, Franco Mastroddi, Hydrofoil vibration induced by a random flow: a stochastic perturbation approach Journal of Sound and Vibration. ,vol. 283, pp. 401- 432 ,(2005) , 10.1016/J.JSV.2004.04.040
Nand Kishor, S.P. Singh, A.S. Raghuvanshi, Adaptive intelligent hydro turbine speed identification with water and random load disturbances Engineering Applications of Artificial Intelligence. ,vol. 20, pp. 795- 808 ,(2007) , 10.1016/J.ENGAPPAI.2006.11.014
S.H. Rhee, S.-E. Kim, H. Ahn, J. Oh, H. Kim, Analysis of a jet-controlled high-lift hydrofoil with a flap Ocean Engineering. ,vol. 30, pp. 2117- 2136 ,(2003) , 10.1016/S0029-8018(03)00071-4
J.S.R. Jang, C.T. Sun, E. Mizutani, Neuro-Fuzzy and Soft Computing-A Computational Approach to Learning and Machine Intelligence [Book Review] IEEE Transactions on Automatic Control. ,vol. 42, pp. 1482- 1484 ,(1997) , 10.1109/TAC.1997.633847
Sang-Hyun Kim, Hiroyuki Yamato, The estimation of wave elevation and wave disturbance caused by the wave orbital motion of a fully submerged hydrofoil craft Journal of Marine Science and Technology. ,vol. 10, pp. 22- 31 ,(2005) , 10.1007/S00773-004-0183-9
S.M. Bateni, D.-S. Jeng, Estimation of pile group scour using adaptive neuro-fuzzy approach Ocean Engineering. ,vol. 34, pp. 1344- 1354 ,(2007) , 10.1016/J.OCEANENG.2006.07.003