Numerical Analysis and Validation of an Optimized B-Series Marine Propeller Based on NSGA-II Constrained by Cavitation
Constantly growing environmental concerns focused on reducing pollution, in addition to rising fuel costs in recent years, have led the maritime industry to develop and implement fuel-saving solutions. Among them is the optimization of marine propeller efficiency, as marine propellers are a crucial...
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| Format: | Article |
| Language: | English |
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MDPI AG
2024-01-01
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| Series: | Journal of Marine Science and Engineering |
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| Online Access: | https://www.mdpi.com/2077-1312/12/2/205 |
| _version_ | 1797297841678319616 |
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| author | Alejandra Vázquez-Santos Nahum Camacho-Zamora José Hernández-Hernández Agustín L. Herrera-May Lorena del Carmen Santos-Cortes María Elena Tejeda-del-Cueto |
| author_facet | Alejandra Vázquez-Santos Nahum Camacho-Zamora José Hernández-Hernández Agustín L. Herrera-May Lorena del Carmen Santos-Cortes María Elena Tejeda-del-Cueto |
| author_sort | Alejandra Vázquez-Santos |
| collection | DOAJ |
| description | Constantly growing environmental concerns focused on reducing pollution, in addition to rising fuel costs in recent years, have led the maritime industry to develop and implement fuel-saving solutions. Among them is the optimization of marine propeller efficiency, as marine propellers are a crucial part of ship’s propulsion system. During the initial design stage, selecting the optimal propeller is considered a multi-objective optimization process. This research focused on maximizing propeller open water efficiency, while minimizing engine brake power constrained by thrust and cavitation. Optimization was applied to Wageningen B-series propellers and conducted using the Non-Dominated Sorting Genetic Algorithm II (NSGA-II). The algorithm selected optimum parameters to create the propeller model, which was then evaluated numerically through computational fluid dynamics (CFD) with a multiple reference frame (MRF) and under the SST k-ω turbulence model, to obtain the open water hydrodynamic characteristics. In addition, the cavitation effect was evaluated using the Zwart–Gerber–Belamri cavitation model. The numerical model results were validated through comparison with open water experimental data from the Netherlands Ship Model Basin for the Wageningen B-series propellers. The results showed errors of 3.29% and 2.01% in efficiency under noncavitating and cavitating conditions, respectively. Correct performance of the functions was shown, based on neural networks trained to estimate thrust and torque coefficients instead of polynomials. The proposed optimization process and numerical model are suitable for solving multi-objective optimization problems in the preliminary design of fixed-pitch marine propellers. |
| first_indexed | 2024-03-07T22:26:13Z |
| format | Article |
| id | doaj.art-f0f6a9b803ca4097bf1cfa3c7be702d6 |
| institution | Directory Open Access Journal |
| issn | 2077-1312 |
| language | English |
| last_indexed | 2024-03-07T22:26:13Z |
| publishDate | 2024-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Journal of Marine Science and Engineering |
| spelling | doaj.art-f0f6a9b803ca4097bf1cfa3c7be702d62024-02-23T15:22:58ZengMDPI AGJournal of Marine Science and Engineering2077-13122024-01-0112220510.3390/jmse12020205Numerical Analysis and Validation of an Optimized B-Series Marine Propeller Based on NSGA-II Constrained by CavitationAlejandra Vázquez-Santos0Nahum Camacho-Zamora1José Hernández-Hernández2Agustín L. Herrera-May3Lorena del Carmen Santos-Cortes4María Elena Tejeda-del-Cueto5Faculty of Engineering of the Construction and Habitat, Universidad Veracruzana, Veracruz 94294, MexicoMechanical Engineering and Naval Sciences Department, Universidad Veracruzana, Veracruz 94294, MexicoFaculty of Engineering of the Construction and Habitat, Universidad Veracruzana, Veracruz 94294, MexicoFaculty of Engineering of the Construction and Habitat, Universidad Veracruzana, Veracruz 94294, MexicoFaculty of Engineering of the Construction and Habitat, Universidad Veracruzana, Veracruz 94294, MexicoFaculty of Engineering of the Construction and Habitat, Universidad Veracruzana, Veracruz 94294, MexicoConstantly growing environmental concerns focused on reducing pollution, in addition to rising fuel costs in recent years, have led the maritime industry to develop and implement fuel-saving solutions. Among them is the optimization of marine propeller efficiency, as marine propellers are a crucial part of ship’s propulsion system. During the initial design stage, selecting the optimal propeller is considered a multi-objective optimization process. This research focused on maximizing propeller open water efficiency, while minimizing engine brake power constrained by thrust and cavitation. Optimization was applied to Wageningen B-series propellers and conducted using the Non-Dominated Sorting Genetic Algorithm II (NSGA-II). The algorithm selected optimum parameters to create the propeller model, which was then evaluated numerically through computational fluid dynamics (CFD) with a multiple reference frame (MRF) and under the SST k-ω turbulence model, to obtain the open water hydrodynamic characteristics. In addition, the cavitation effect was evaluated using the Zwart–Gerber–Belamri cavitation model. The numerical model results were validated through comparison with open water experimental data from the Netherlands Ship Model Basin for the Wageningen B-series propellers. The results showed errors of 3.29% and 2.01% in efficiency under noncavitating and cavitating conditions, respectively. Correct performance of the functions was shown, based on neural networks trained to estimate thrust and torque coefficients instead of polynomials. The proposed optimization process and numerical model are suitable for solving multi-objective optimization problems in the preliminary design of fixed-pitch marine propellers.https://www.mdpi.com/2077-1312/12/2/205marine propeller optimizationWageningen B-series propellerNSGA-IICFDMRFcavitation |
| spellingShingle | Alejandra Vázquez-Santos Nahum Camacho-Zamora José Hernández-Hernández Agustín L. Herrera-May Lorena del Carmen Santos-Cortes María Elena Tejeda-del-Cueto Numerical Analysis and Validation of an Optimized B-Series Marine Propeller Based on NSGA-II Constrained by Cavitation Journal of Marine Science and Engineering marine propeller optimization Wageningen B-series propeller NSGA-II CFD MRF cavitation |
| title | Numerical Analysis and Validation of an Optimized B-Series Marine Propeller Based on NSGA-II Constrained by Cavitation |
| title_full | Numerical Analysis and Validation of an Optimized B-Series Marine Propeller Based on NSGA-II Constrained by Cavitation |
| title_fullStr | Numerical Analysis and Validation of an Optimized B-Series Marine Propeller Based on NSGA-II Constrained by Cavitation |
| title_full_unstemmed | Numerical Analysis and Validation of an Optimized B-Series Marine Propeller Based on NSGA-II Constrained by Cavitation |
| title_short | Numerical Analysis and Validation of an Optimized B-Series Marine Propeller Based on NSGA-II Constrained by Cavitation |
| title_sort | numerical analysis and validation of an optimized b series marine propeller based on nsga ii constrained by cavitation |
| topic | marine propeller optimization Wageningen B-series propeller NSGA-II CFD MRF cavitation |
| url | https://www.mdpi.com/2077-1312/12/2/205 |
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