Browse > Article
http://dx.doi.org/10.1016/j.ijnaoe.2016.06.007

Systematic probabilistic design methodology for simultaneously optimizing the ship hull-propeller system  

Esmailian, Ehsan (Department of Maritime Engineering, Amirkabir University of Technology (AUT))
Ghassemi, Hassan (Department of Maritime Engineering, Amirkabir University of Technology (AUT))
Zakerdoost, Hassan (Department of Maritime Engineering, Amirkabir University of Technology (AUT))
Publication Information
International Journal of Naval Architecture and Ocean Engineering / v.9, no.3, 2017 , pp. 246-255 More about this Journal
Abstract
The proposed design methodology represents a new approach to optimize the propeller-hull system simultaneously. In this paper, two objective functions are considered, the first objective function is Lifetime Fuel Consumption (LFC) and the other one is cost function including thrust, torque, open water and skew efficiencies. The variables of the propeller geometries (Z, EAR, P/D and D) and ship hull parameters (L/B, B/T, T and $C_B$) are considered to be optimized with cavitation, blades stress of propeller. The well-known evolutionary algorithm based on NSGA-II is employed to optimize a multi-objective problem, where the main propeller and hull dimensions are considered as design variables. The results are presented for a series 60 ship with B-series propeller. The results showed that the proposed method is an appropriate and effective approach for simultaneously propeller-hull system design and is able to minimize both of the objective functions significantly.
Keywords
Multi-objective optimization (MOP); Hull-propeller system; Minimizing LFC;
Citations & Related Records
Times Cited By KSCI : 3  (Citation Analysis)
연도 인용수 순위
1 Benini, E., 2003. Multiobjective design optimization of B-screw series propellers using evolutionary algorithms. Mar. Technol. 40(4), 229-238.
2 Chen, J.-H., Shih, Y.-S., 2007. Basic design of a series propeller with vibration consideration by genetic algorithm. J. Mar. Sci. Technol. 12(3), 119-129.   DOI
3 Cho, J., Lee, S.-C., 1998. Propeller blade shape optimization for efficiency improvement. Comput. Fluids 27(3), 407-419.   DOI
4 Choi, H.J., 2015. Hull-form optimization of a container ship based on bellshaped modification function. Int. J. Nav. Archit. Ocean. Eng. 7(3), 478-489.   DOI
5 Day, A.H., Doctors, L.J., 1997. Resistance optimization of displacement vessels on the basis of principal parameters. J. Ship Res. 41(4), 249-259.
6 Deb, K., 2002. A fast and elitist multiobjective genetic algorithm: NSGA-II. IEEE Trans. Evol. Comput. 6(2), 182-197.   DOI
7 Dejhalla, R., Mrsa, Z., Vukovic, S., 2002. A genetic algorithm approach to the problem of minimum ship wave resistance. Mar. Technol. 39(3), 187-195.
8 Gaafary, M., El-Kilani, H., Moustafa, M., 2011. Optimum design of B-series marine propellers. Alex. Eng. J. 50(1), 13-18.   DOI
9 Ghassemi, H., 2009. The effect of wake flow and skew angle on the ship propeller performance. Sci. Iran. 16(2), 149-158.
10 Ghose, J.P., Gokarn, R.P., 2004. Basic Ship Propulsion. Allied Publishers.
11 Grigoropoulos, G.J., Chalkias, D.S., 2010. Hull-form optimization in calm and rough water. Comput.Aided Des. 42(11), 977-984.   DOI
12 Kamarlouei, M., Ghassemi, H., Aslansefat, Nematy, D., 2014. Multi-objective evolutionary optimization technique applied to propeller design. Acta Polytech. Hung. 11(9).
13 Lee, C.-S., Choi, Y.-D., Ahn, B.-K., Shin, M.-S., Jang, H.-G., 2010. Performance optimization of marine propellers. Int. J. Nav. Archit. Ocean. Eng. 2(4), 211-216.   DOI
14 Lee, Y.-J., Lin, C.-C., 2004. Optimized design of composite propeller. Mech. Adv. Mater. Struct. 11(1), 17-30.   DOI
15 Mirjalili, S., Lewis, A., Mirjalili, S.A.M., 2015. Multi-objective optimisation of marine propellers. Procedia Comput. Sci. 51, 2247-2256.   DOI
16 Motley, M.R., Nelson, M., Young, Y.L., 2012. Integrated probabilistic design of marine propulsors to minimize lifetime fuel consumption. Ocean. Eng. 45, 1-8.   DOI
17 Nelson, M., Temple, D.W., Hwang, J.T., Young, Y.L., Martines, J.R.R.A., Collette, M., 2013. Simultaneous optimization of propellerehull systems to minimize lifetime fuel consumption. Appl. Ocean Res. 43, 46-52.   DOI
18 Park, H., Choi, J.E., Chun, H.H., 2015. Hull-form optimization of KSUEZMAX to enhance resistance performance. Int. J. Nav. Archit. Ocean. Eng. 7(1), 100-114.   DOI
19 Plucinski, M.M., Young, Y.L., Liu, Z., 2007. Optimization of a self-twisting composite marine propeller using genetic algorithms. In: 16th International Conference on Composite Materials, Kyoto, Japan.
20 Temple, D., Collette, M., 2012. Multi-objective hull form optimization to compare build cost and lifetime fuel consumption. In: International Marine Design Conference, IMDC, Glasgow, Scotland, 11-14 06, II, pp. 391-403.
21 Tuck, E., Scullen, D., Lazauskas, L., 2002. Wave patterns and minimum wave resistance for high-speed vessels. In: 24th Symposium on Naval Hydrodynamics, Fukuoka, Japan.
22 Xie, G., 2011. Optimal preliminary propeller design based on multi-objective optimization approach. Procedia Eng. 16, 278-283.   DOI
23 Yang, Y.S., Park, C.K., Lee, K.H., Suh, J.C., 2007. A study on the preliminary ship design method using deterministic approach and probabilistic approach including hull form. Struct. Multidiscip. Optim. 33(6), 529-539.   DOI
24 Zakerdoost, H., Ghassemi, H., Ghiasi, M., 2013. Ship hull form optimization by evolutionary algorithm in order to diminish the resistance. J. Mar. Sci. Appl. 12(2), 170-179.   DOI