Numerical Analysis and Geometric Assessment of Air Layer Distribution in a Ventilated Planing Hull in Calm Water

Abstract

The issue of resistance reduction through hull ventilation is of particular interest in contemporary research. This paper presents multiphase computational fluid dynamics (CFD) simulations with 2-DOF motion of a planing hull. The original hull was modified by introducing a step to allow air ventilation. Following an assessment of the hull performance, a simulation campaign in calm water was conducted to characterize the hull at various forward speeds and air insufflation rates for a defined single step geometry. Geometric analysis of the air layer thickness beneath the hull for each simulated condition was performed using a novel method for visualizing local air thickness. Additionally, two new parameters were introduced to understand the influence of spray rails on the air volume beneath the hull and to indicate the primary direction of ventilated air escape. A validation campaign and an assessment of uncertainty of the simulation has been conducted. The features offered by the CFD methodology include the evaluation of the air layer thickness as a function of hull velocity and injection flow rate and the air volume distribution beneath the hull. The air injection velocity can be adjusted across various operating conditions, thereby preventing performance or efficiency loss during navigation. Based on these findings, the study highlights the benefits of air insufflation in reducing hull resistance for high-speed planing vessels. This work lays a robust foundation for future research and new promising topics, as the exploration of air insufflation continues to be a topic of contemporary interest within naval architecture and hydrodynamics.

Keywords

Computational fluid dynamics / Air cavity ships / Planing hull / Hydrodynamics / Maritime sustainability

References

[1] Ahmadzadehtalatapeh M, Mousavi M. A Review on the drag reduction methods of the ship hulls for improving the hydrodynamic performance. Int. J. Marit. Technol, 2016, 4: 51-64

[2] Amromin EL. Analysis of interaction between ship bottom air cavity and boundary layer. Applied Ocean Research, 2016, 59: 451-458

[3] Barberi E, Cucinotta F, Raffaele M, Salmeri F. A hollowing topology optimization method for additive and traditional manufacturing technologies. Lecture Notes in Mechanical Engineering, Rome, 2022422430

[4] Basin AM, Butuzov AA, Ivanov AN, Olenin Y, Petrov VI, Potapov OF, Ratner Y, Starobinskiy VB, Eller AO. Ship motion when blowing air under its bottom. Sudostroyeniye (Soviet Shipbuilding) [USSR], 196838

[5] Busetto B, Bordignon A, Bortoluzzi A, Milanesi S, Paduano A, Mio A. Life cycle assessment in the naval sector: between certification and new materials. Progress in Marine Science and Technology, 2022, 6: 564-571

[6] Butterworth J, Atlar M, Shi W. Experimental analysis of an air cavity concept applied on a ship hull to improve the hull resistance. Ocean Engineering, 2015, 110: 2-10

[7] Butuzov AA, Vasin AI, Drozdov AL, Ivanov AN, Kalyuzhny VG, Matveev II, Ruzanov VE. Full-scale trials of a boat with an air cavity. Shipbuild. Probl., 1988, 28: 45-51

[8] Chen X, Yu L, Liu LY, Yang L, Xu S, Wu J. Multi-objective shape optimization of autonomous underwater vehicle by coupling CFD simulation with genetic algorithm. Ocean Engineering, 2023, 286: 115722

[9] Cignoni P, Callieri M, Corsini M, Dellepiane M, Ganovelli F, Ranzuglia G. Scarano V, De Chiara R, Erra U. MeshLab: an open-source mesh processing tool. Eurographics Italian Chapter Conference, 2008129-136the Eurographics Association

[10] Cignoni P, Rocchini C, Scopigno R. Metro: measuring error on simplified surfaces. Computer Graphics Forum, 1998167174Blackwell Publishers

[11] Cucinotta F, Guglielmino E, Sfravara F. A critical CAE analysis of the bottom shape of a multi stepped air cavity planing hull. Applied Ocean Research, 2019, 82: 130-142

[12] Cucinotta F, Guglielmino E, Sfravara F. An experimental comparison between different artificial air cavity designs for a planing hull. Ocean Engineering, 2017, 140: 233-243

[13] Cucinotta F, Guglielmino E, Sfravara F, Strasser C. Numerical and experimental investigation of a planing air cavity ship and its air layer evolution. Ocean Engineering, 2018, 152: 130-144

[14] Cucinotta F, Mancini D, Sfravara F, Tamburrino F. The effect of longitudinal rails on an air cavity stepped planing hull. J Mar Sci Eng, 2021, 9(5): 470

[15] Cucinotta F, Nigrelli V, Sfravara F. Numerical prediction of ventilated planing flat plates for the design of air cavity ships. International Journal on Interactive Design and Manufacturing (IJIDeM), 2018, 12: 537-548

[16] Cucinotta F, Nigrelli V, Sfravara F. A preliminary method for the numerical prediction of the behavior of air bubbles in the design of air cavity ships. Lecture Notes in Mechanical Engineering, Catania, 2017509-516

[17] Cucinotta F, Raffaele M, Salmeri F. A topology optimization method for stochastic lattice structures. Lecture Notes in Mechanical Engineering, 2021235240

[18] Cucinotta F, Raffaele M, Salmeri F. A topology optimization of a motorsport safety device. Lecture Notes in Mechanical Engineering, Modena, 2020400409

[19] Cucinotta F, Raffaele M, Salmeri F, Sfravara F. A comparative life cycle assessment of two sister cruise ferries with diesel and liquefied natural gas machinery systems. Applied Ocean Research, 2021, 112: 102705

[20] Deng S, Suresh K. Stress constrained thermo-elastic topology optimization with varying temperature fields via augmented topological sensitivity based level-set. Structural and Multidisciplinary Optimization, 2017, 56: 1413-1427

[21] Di Bernardo R, Di Cecca B, Coppola T, Spazzafumo G, Speranza D. Preliminary design of a 75 m Mega Yacht with diesel-Electric hybrid propulsion powered with hydrogen FCs. Int J Hydrogen Energy, 2024

[22] Diez M, Lee EJ, Harrison EL, Powers AMR, Snyder LA, Jiang MJ, Bay RJ, Lewis RR, Kubina ER, Mucha P, Stern F. Experimental and computational fluid-structure interaction analysis and optimization of deep-V planing-hull grillage panels subject to slamming loads—Part I: Regular waves. Marine Structures, 2022, 85: 103256

[23] Gao T, Wang Y, Pang Y, Cao J. Hull shape optimization for autonomous underwater vehicles using CFD. Engineering Applications of Computational Fluid Mechanics, 2016, 10: 599-607

[24] Ghadimi P, Sajedi SM, Sheikholeslami M, Ghadimi A. Numerical study of the effect of angle and location of the first and second steps on the performance of planing hull and their optimization using the Taguchi statistical method. Math Probl Eng, 2023, 2023: 1-18

[25] Gokcay S, Insel M, Odabasi AY. Revisiting artificial air cavity concept for high speed craft. Ocean Engineering, 2004, 31: 253-267

[26] Hou S, Zhang Z, Lian H, Xing X, Gong H, Xu X. hull shape optimization of small underwater vehicle based on Kriging-based response surface method and multi-objective optimization algorithm. Brodogradnja: An International Journal of Naval Architecture and Ocean Engineering for Research and Development, 2022, 73: 111-134

[27] ITTC. Uncertainty analysis in CFD verification and validation methodology and procedures. ITTC-Recommended Procedures and Guidelines, 2017113

[28] Latorre R. Ship hull drag reduction using bottom air injection. Ocean Engineering, 1997, 24: 161-175

[29] Matveev KI. On the limiting parameters of artificial cavitation. Ocean Engineering, 2003, 30: 1179-1190

[30] Matveev KI. Hydrodynamic modeling of semi-planing hulls with air cavities. International Journal of Naval Architecture and Ocean Engineering, 2015, 7: 500-508

[31] Matveev KI. Simplified model for unsteady air cavities under ship hulls. Proceedings of the Institution of Mechanical Engineers Part M: Journal of Engineering for the Maritime Environment, 2020, 234: 100-107

[32] Mio A, Fermeglia M, Favi C. A critical review and normalization of the life cycle assessment outcomes in the naval sector. Articles description. J Clean Prod, 2022, 370: 133476

[33] Nazemian A, Ghadimi P. Shape optimisation of trimaran ship hull using CFD-based simulation and adjoint solver. Ships and Offshore Structures, 2022, 17: 359-373

[34] Nazemian A, Ghadimi P. Multi-objective optimization of ship hull modification based on resistance and wake field improvement: combination of adjoint solver and CAD-CFD-based approach. Journal of the Brazilian Society of Mechanical Sciences and Engineering, 2022, 44: 1-27

[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

[36] 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: 2751-2768

[37] Nimmagadda NVR, Polisetty LR, Vaidyanatha Iyer AS. Simulation of air-water interface effects for high-speed planing hull. Journal of Marine Science and Application, 2020, 19: 398-414

[38] Pearce BW, Brandner PA, Foster SJ. Ventilated cavity flow over a backward-facing step. J Phys Conf Ser, 2015, 656: 012164

[39] Plocher J, Panesar A. Review on design and structural optimisation in additive manufacturing: Towards next-generation lightweight structures. Mater Des, 2019, 183: 108164

[40] Schlichting H, Gersten K. Boundary-layer theory, 2016, Heidelberg, Springer Berlin1-799

[41] Stern F, Wilson RV, Coleman HW, Paterson EG. Comprehensive approach to verification and validation of CFD simulations—Part 1: Methodology and procedures. J Fluids Eng, 2001, 123: 793-802

[42] Sulman M, Mancini S, Bilandi RN. Numerical investigation of single and double steps in planing hulls. J Mar Sci Eng, 2024, 12(4614

[43] Tavakoli S, Zhang M, Kondratenko AA, Hirdaris S. A review on the hydrodynamics of planing hulls. Ocean Engineering, 2024, 303: 117046

[44] Wheeler MP, Ryan P, Cimolin F. Using VOF slip velocity to improve productivity of planing hull CFD simulations. SNAME International Conference on Fast Sea Transportation 2021, FAST, 2021SNAME-FAST-2021-013

[45] Yan J, Xu Q, Zhang Q, Fan ZR, Du HZ, Geng DL, Yan K, Niu B. Current and future trends of artificial intelligence in the field of structural topology optimization. Chinese Journal of Computational Mechanics, 2021, 2021(4412-422

[46] Yan X, Zhu J, Kuang M, Wang X. Aerodynamic shape optimization using a novel optimizer based on machine learning techniques. Aerosp Sci Technol, 2019, 86: 826-835

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