Hydrofoil Installation and Performance Optimisation for Ship Resistance Reduction in Trimaran Through Particle Swarm Optimisation Method

• Autorzy: Ghadimi Aliakbar , Ghadimi Parviz , Ghassemi Hassan

Identyfikatory

DOI

10.2478/pomr-2025-0005

• Języki publikacji: EN

Abstrakty

EN

The trimaran vessel performs well both in calm waters and in waves. To improve its hydrodynamic efficiency, a hydrofoil is installed at the rear part of the trimaran. The primary aim of this hydrofoil is to reduce the overall resistance while the ship is moving. This study focuses on minimising the ship’s total resistance. An optimisation process is designed to determine the best position and angle of attack (AoA) for the hydrofoil at the design speed. To achieve this, a multi-disciplinary optimisation (MDO) platform is employed to conduct a computation fluid dynamics (CFD)-based automated design study. The optimisation method integrates STAR-CCM+ software with the particle swarm optimisation (PSO) algorithm as the optimiser. The flow field and wave patterns around the trimaran are analysed to assess resistance improvements. The results reveal that the optimal position for the NACA6612 hydrofoil is towards the stern and away from the midship, with the ideal AoA being 5.19 degrees at cruising speed. Comparisons indicate that the resistance of the trimaran with the optimised hydrofoil is reduced by approximately 4.49% compared to a trimaran without the hydrofoil.

Słowa kluczowe

EN

trimaran; hydrofoil; hydrodynamics; resistance; optimisation

• Wydawca: Gdańsk University of Technology, Faculty of Ocean Engineering & Ship Technology
• Czasopismo: Polish Maritime Research
• Rocznik: 2025
• Tom: nr 1
• Strony: 54--63
• Opis fizyczny: Bibliogr. 35 poz., rys., tab.

Twórcy

autor

Ghadimi Aliakbar

• Dept. of Maritime Engineering, Amirkabir University of Technology, Iran

autor

Ghadimi Parviz

• Dept. of Maritime Engineering, Amirkabir University of Technology, Iran

• https://orcid.org/0000-0002-9315-5428

autor

Ghassemi Hassan

• Dept. of Maritime Engineering, Amirkabir University of Technology, Iran
• School of Ocean Engineering, Harbin Institute of Technology, Weihai, China

• https://orcid.org/0000-0002-6201-346X

Bibliografia

• 1 Zong Z, Sun Y, Jiang Y. Experimental study of controlled T-foil for vertical acceleration reduction of a trimaran. J Mar Sci Technol 2019; 24:553−64. https://doi.org/10.1007/s00773-018-0576-9.
• 2 Askarian Khoob A, Feizi A, Mohamadi A, Akbari Vakilabadi K, Fazeliniai A, Moghaddampour Sh. An experimental study on the effect of the side hull symmetry on the resistance performance of a wave-piercing trimaran. J Marine Sci Appl 2021; 20:456−66. https://doi.org/10.1007/s11804-021-00214-1.
• 3 Zhang Y, Hu J, Ma S, Wang P. Anti-rolling analysis and resistance optimization of a new anti-rolling hydrofoil for the trimaran vessel. Ocean Engineering 2023;272. https://doi.org/10.1016/j.oceaneng.2023.113837.
• 4 Yildiz B. Prediction of residual resistance of a trimaran vessel by using an artificial neural network. Brodogradnja 2022; 73:127−40. https://doi.org/10.21278/brod73107.
• 5 Wang QX. Test study on resistance-reducing measures of trimaran planing hull. Applied Mechanics and Materials 2015;738-739:775−8. https://doi.org/10.4028/www.scientific.net/AMM.738-739.775.
• 6 Ma Y, Sun H, Wang C, Zhao Y. Model testing of hydrofoil-equipped trimaran hull. Proceedings of the International Conference on Ship and Offshore Technology 2013.
• 7 Koreparnov A, Ronnov E. Experimental study of the resistance to the movement of trimaran vessels. Journal of Physics: Conference Series 2021; 2131:032074. https://doi.org/10.1088/1742-6596/2131/3/032074.
• 8 Nazemian A, Ghadimi P. Multi-objective optimization of trimaran sidehull arrangement via surrogate-based approach for reducing resistance and improving the seakeeping performance. Proceedings of the Institution of Mechanical Engineers, Part M: Journal of Engineering for the Maritime Environment 2020:1-15. https://doi.org/10.1177/1475090220980275.
• 9 Ghadimi P, Nazemian A, Ghadimi A. Numerical scrutiny of the influence of side hulls arrangement on the motion of a trimaran vessel in regular waves through CFD analysis. J Brazilian Soc Mech Sci Eng 2019; 41:1. https://doi.org/10.1007/s40430-018-1505-x.
• 10 Nazemian A, Ghadimi P. Global optimization of trimaran hull form to get minimum resistance by slender body method. J Brazilian Soc Mech Sci Eng 2021;43:67. https://doi.org/10.1007/s40430-020-02791-8.
• 11 Verna S, Khan K, Praveen PC. Trimaran hull form optimization, using ship flow. International Journal of Innovative Research and Development 2012; 1:5-15.
• 12 Deng R, Li C, Huang D, Zhou G. The effect of trimming and sinkage on the trimaran resistance calculation. Procedia Eng 2015; 126:327-31.
• 13 Zhang L, Zhang JN, Shang YC. A potential flow theory and boundary layer theory-based hybrid method for waterjet propulsion. Journal of Marine Science and Engineering 2019; 7:113-132. https://doi.org/10.3390/jmse7040113.
• 14 Wang D, Liu K, Huo P, et al. Motions of an unmanned catamaran ship with fixed tandem hydrofoils in regular head waves. J Mar Sci Tech 2019; 24:705-19. https://doi.org/10.1007/s00773-018-0583-x.
• 15 Nazemian A, Ghadimi P. Automated CFD-based optimization of inverted bow shape of a trimaran ship: An applicable and efficient optimization platform. Scientia Iranica 2021; 28:2751−68. https://doi.org/10.24200/sci.2020.56644.4833.
• 16 Guo J, Zhang Y, Chen Z, Feng Y. CFD-based multi-objective optimization of a waterjet-propelled trimaran. Ocean Eng 2020; 195:106755. https://doi.org/10.1016/j.oceaneng.2019.106755.
• 17 Chen X, Diez M, Kandasamy M, Zhang Z, Campana EF, Stern F. High-fidelity global optimization of shape design by dimensionality reduction, metamodels and deterministic particle swarm. Engineering Optimization 2015; 47:473−94. https://doi.org/10.1080/0305215X.2014.895340.
• 18 Nazemian A, Ghadimi P. CFD-based optimization of a displacement trimaran hull for improving its calm water and wavy condition resistance. Appl Ocean Res 2021; 113:102729. https://doi.org/https://doi.org/10.1016/j.apor.2021.102729.
• 19 Kaklis PD. Editorial: Special issue on: Parametric CAD modeling for Naval Architecture, Ocean & Marine Engineering (NAOME). Ocean Eng 2021; 223:108655. https://doi.org/10.1016/j.oceaneng.2021.108655.
• 20 Khan S, Kaklis P. From regional sensitivity to intra-sensitivity for parametric analysis of free-form shapes: Application to ship design. Adv Eng Informatics 2021;49. https://doi.org/10.1016/j.aei.2021.101314.
• 21 Tahara Y, Peri D, Campana EF, Stern F. Single-and multi-objective design optimization of a fast multihull ship: Numerical and experimental results. J Mar Sci Technol 2011; 16:412-33. https://doi.org/10.1007/s00773-007-0264-7.
• 22 Akbari K, Khedmati MR, Seif MS. Experimental study on heave and pitch motion characteristics of a wave-piercing trimaran. Transactions of Famena 2014; 38:13-26. https://doi.org/10.1016/S1001-6058.
• 23 Ghadimi P, Nazemian A, Sheikholeslami M. Numerical simulation of the slamming phenomenon of a wave-piercing trimaran in the presence of irregular waves under various seagoing modes. Proc Inst Mech Eng Part M J Eng Marit Environ January 2019; 2019:147509021881918. https://doi.org/10.1177/1475090218819186.
• 24 Nazemian A, Ghadimi P. Shape optimization of trimaran ship hull using CFD-based simulation and adjoint solver. Ships and Offshore Structures 2022; 17:359−73. https://doi.org/10.1016/j.apor.2021.102729.
• 25 User Guide. HEEDS MDO version 19.2. SIEMENS Simcenter, 2019.
• 26 User Guide. StarCCM+ version 2020.1. SIEMENS Simcenter, 2020.
• 27 Xu L, Baglietto E, Brizzolara S. Extending the applicability of RANS turbulence closures to the simulation of transitional flow around hydrofoils at low Reynolds number. Ocean Eng 2018; 164:1-12. https://doi.org/10.1016/j.oceaneng.2018.06.031.
• 28 Coppedè A, Gaggero S, Vernengo G, Villa D. Hydrodynamic shape optimization by high fidelity CFD solver and Gaussian process based response surface method. Appl Ocean Res 2019; 90:101841. https://doi.org/10.1016/j.apor.2019.05.026.
• 29 Zakerdoost H, Ghassemi H. Hydrodynamic optimization of ship’s hull-propeller system under multiple operating conditions using MOEA/D. J Mar Sci Technol 2020. https://doi.org/10.1007/s00773-020-00747-0.
• 30 Ploe P. Surrogate-based optimization of hydrofoil shapes using RANS simulations. Fluids mechanics [physics. class-ph]. École centrale de Nantes 2018. https://doi.org/10.2514/6.2018-1177.
• 31 ITTC Recommendations. Uncertainty analysis in CFD, verification and validation methodology and procedures. ITTC-recommended procedures and guidelines, 7.5-03-01-01. Proceedings of the International Towing Tank Conference 2017.
• 32 Battistin D. Analytical, numerical and experimental investigation on the wave resistance interference phenomenon of trimaran configurations. NAV-2000, 2000.
• 33 Ghadimi P, Nazemian A. Bow shape modification through multi-objective hydrodynamic optimization: Methodology comparison between CAD-based freeform deformation and mesh-based radial basis function approach. Proceedings of the Institution of Mechanical Engineers, Part M: Journal of Engineering for the Maritime Environment 2022. https://doi.org/10.1177/14750902211068929.
• 34 Nazemian A, Ghadimi P. Multi-objective optimization of ship hull modification based on resistance and wake field improvement: Combination of adjoint solver and CADCFD-based approach. J Brazilian Soc Mech Sci Eng 2022; 44:27. https://doi.org/10.1007/s40430-021-03335-4.
• 35 Nazemian A, Ghadimi P. CFD-based optimization of a displacement trimaran hull for improving its calm water and wavy condition resistance. Applied Ocean Research 2021; 113:102729. https://doi.org/10.1016/j.apor.2021.102729.

Uwagi

Opracowanie rekordu ze środków MNiSW, umowa nr POPUL/SP/0154/2024/02 w ramach programu "Społeczna odpowiedzialność nauki II" - moduł: Popularyzacja nauki i promocja sportu (2025).