Design Method for Low-Ice-Class Propellers Based on Multi-Objective Optimization
The objective of this paper was to establish a comprehensive methodology for the optimized design of propellers for ice-class vessels, aiming to enhance hydrodynamic efficiency while ensuring structural integrity. This paper begins by introducing a novel approach for calculating blade stress, which...
Saved in:
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2024-11-01
|
| Series: | Journal of Marine Science and Engineering |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2077-1312/12/11/1986 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1850267195738685440 |
|---|---|
| author | Chenxu Gu Kang Han Kaiqiang Weng Chao Wang Chunhui Wang |
| author_facet | Chenxu Gu Kang Han Kaiqiang Weng Chao Wang Chunhui Wang |
| author_sort | Chenxu Gu |
| collection | DOAJ |
| description | The objective of this paper was to establish a comprehensive methodology for the optimized design of propellers for ice-class vessels, aiming to enhance hydrodynamic efficiency while ensuring structural integrity. This paper begins by introducing a novel approach for calculating blade stress, which takes into account both extreme ice loads and hydrodynamic loads, to be utilized in the propeller strength design process. Subsequently, a backpropagation (BP) neural network model was developed based on the data obtained from B-series propeller charts and integrated with a genetic algorithm to achieve a preliminary optimized design of the propeller’s hydrodynamic performance. To illustrate the application of this methodology, a case study of an ice-breaking tug propeller design is presented, detailing the optimization design process, including the preliminary, intermediate, and final design stages. The study also addresses key aspects such as geometric parameterization, the selection of optimization variables, the implementation of optimization algorithms, and the balance of multi-objective trade-offs. The proposed design approach can serve as a valuable reference for the practical engineering design of propellers for ice-class vessels, providing a systematic framework for achieving optimal performance in challenging operating conditions. |
| format | Article |
| id | doaj-art-55f7eed7202742a6813fc4538df7bd3e |
| institution | OA Journals |
| issn | 2077-1312 |
| language | English |
| publishDate | 2024-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Journal of Marine Science and Engineering |
| spelling | doaj-art-55f7eed7202742a6813fc4538df7bd3e2025-08-20T01:53:53ZengMDPI AGJournal of Marine Science and Engineering2077-13122024-11-011211198610.3390/jmse12111986Design Method for Low-Ice-Class Propellers Based on Multi-Objective OptimizationChenxu Gu0Kang Han1Kaiqiang Weng2Chao Wang3Chunhui Wang4College of Shipbuilding Engineering, Harbin Engineering University, No. 145 Nantong Street, Nangang District, Harbin 150001, ChinaChina Ship Scientific Research Center, Taihu Laboratory of Deepsea Technological Science, Wuxi 214082, ChinaCollege of Field Engineering, Army Engineering University of PLA, Nanjing 210007, ChinaCollege of Shipbuilding Engineering, Harbin Engineering University, No. 145 Nantong Street, Nangang District, Harbin 150001, ChinaCollege of Shipbuilding Engineering, Harbin Engineering University, No. 145 Nantong Street, Nangang District, Harbin 150001, ChinaThe objective of this paper was to establish a comprehensive methodology for the optimized design of propellers for ice-class vessels, aiming to enhance hydrodynamic efficiency while ensuring structural integrity. This paper begins by introducing a novel approach for calculating blade stress, which takes into account both extreme ice loads and hydrodynamic loads, to be utilized in the propeller strength design process. Subsequently, a backpropagation (BP) neural network model was developed based on the data obtained from B-series propeller charts and integrated with a genetic algorithm to achieve a preliminary optimized design of the propeller’s hydrodynamic performance. To illustrate the application of this methodology, a case study of an ice-breaking tug propeller design is presented, detailing the optimization design process, including the preliminary, intermediate, and final design stages. The study also addresses key aspects such as geometric parameterization, the selection of optimization variables, the implementation of optimization algorithms, and the balance of multi-objective trade-offs. The proposed design approach can serve as a valuable reference for the practical engineering design of propellers for ice-class vessels, providing a systematic framework for achieving optimal performance in challenging operating conditions.https://www.mdpi.com/2077-1312/12/11/1986ice-class propelleroptimized designstrength designhydrodynamic performance |
| spellingShingle | Chenxu Gu Kang Han Kaiqiang Weng Chao Wang Chunhui Wang Design Method for Low-Ice-Class Propellers Based on Multi-Objective Optimization Journal of Marine Science and Engineering ice-class propeller optimized design strength design hydrodynamic performance |
| title | Design Method for Low-Ice-Class Propellers Based on Multi-Objective Optimization |
| title_full | Design Method for Low-Ice-Class Propellers Based on Multi-Objective Optimization |
| title_fullStr | Design Method for Low-Ice-Class Propellers Based on Multi-Objective Optimization |
| title_full_unstemmed | Design Method for Low-Ice-Class Propellers Based on Multi-Objective Optimization |
| title_short | Design Method for Low-Ice-Class Propellers Based on Multi-Objective Optimization |
| title_sort | design method for low ice class propellers based on multi objective optimization |
| topic | ice-class propeller optimized design strength design hydrodynamic performance |
| url | https://www.mdpi.com/2077-1312/12/11/1986 |
| work_keys_str_mv | AT chenxugu designmethodforlowiceclasspropellersbasedonmultiobjectiveoptimization AT kanghan designmethodforlowiceclasspropellersbasedonmultiobjectiveoptimization AT kaiqiangweng designmethodforlowiceclasspropellersbasedonmultiobjectiveoptimization AT chaowang designmethodforlowiceclasspropellersbasedonmultiobjectiveoptimization AT chunhuiwang designmethodforlowiceclasspropellersbasedonmultiobjectiveoptimization |