Reliability evaluation and multi-objective optimization of combustion chamber’s key components of marine engine
Combustion chamber’s key components of marine engine exhibit varied reliability evaluation indicators, and conventional methodologies fail to account for performance degradation of specific evaluation index because of reliability with coupling and cross-dependencies among different components, conse...
Saved in:
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-09-01
|
| Series: | Case Studies in Thermal Engineering |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2214157X25007579 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1850114259421233152 |
|---|---|
| author | Lei Hu Wentong Wang Xu Wang Jianguo Yang Yonghua Yu Chunyang Mei |
| author_facet | Lei Hu Wentong Wang Xu Wang Jianguo Yang Yonghua Yu Chunyang Mei |
| author_sort | Lei Hu |
| collection | DOAJ |
| description | Combustion chamber’s key components of marine engine exhibit varied reliability evaluation indicators, and conventional methodologies fail to account for performance degradation of specific evaluation index because of reliability with coupling and cross-dependencies among different components, consequently rendering existing reliability optimization inadequate for application requirements. Through establishing thermo-mechanical coupling simulations and creep-fatigue life method, the thermal-load characteristics and life indices of key components are systematically analyzed. Response surface methodology is used to establish reliability prediction models under sensitive factors of fuel injection, valve, and cooling systems, and a reliability comprehensive evaluation method based on entropy weight and grey correlation methods has been proposed. Constrained multi-objective optimization of reliability is conducted through contrastive analysis of different optimization algorithms. The research shows that the multi-objective particle swarm optimization algorithm achieves the best performance, the maximum temperatures of the piston, cylinder head, and liner decrease by 3.90 %, 5.66 %, and 6.52 %, the maximum thermo-mechanical coupling stresses reduced by 9.41 %, 7.83 %, and 4.97 % respectively, and creep-fatigue life enhancements reach 3.84 % and 12.67 % for the piston and cylinder head. The study establishes an effective method for reliability optimization of combustion chamber’s key components and presents significant engineering applications for reliability improvement for marine engines. |
| format | Article |
| id | doaj-art-822d4a9f94344eb5a78990968fa4c19c |
| institution | OA Journals |
| issn | 2214-157X |
| language | English |
| publishDate | 2025-09-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Case Studies in Thermal Engineering |
| spelling | doaj-art-822d4a9f94344eb5a78990968fa4c19c2025-08-20T02:36:57ZengElsevierCase Studies in Thermal Engineering2214-157X2025-09-017310649710.1016/j.csite.2025.106497Reliability evaluation and multi-objective optimization of combustion chamber’s key components of marine engineLei Hu0Wentong Wang1Xu Wang2Jianguo Yang3Yonghua Yu4Chunyang Mei5School of Naval Architecture, Ocean and Energy Power Engineering, Wuhan University of Technology, Wuhan, 430063, China; Key Laboratory of Marine Power Engineering and Technology of Ministry of Transport, Wuhan University of Technology, Wuhan, 430063, China; Corresponding author. School of Naval Architecture, Ocean and Energy Power Engineering, Wuhan University of Technology, No. 1178 He Ping Avenue, Wuchang District, Wuhan, Hubei, 430063, China.School of Naval Architecture, Ocean and Energy Power Engineering, Wuhan University of Technology, Wuhan, 430063, ChinaSchool of Naval Architecture, Ocean and Energy Power Engineering, Wuhan University of Technology, Wuhan, 430063, ChinaSchool of Naval Architecture, Ocean and Energy Power Engineering, Wuhan University of Technology, Wuhan, 430063, China; Key Laboratory of Marine Power Engineering and Technology of Ministry of Transport, Wuhan University of Technology, Wuhan, 430063, China; Corresponding author. School of Naval Architecture, Ocean and Energy Power Engineering, Wuhan University of Technology, No. 1178 He Ping Avenue, Wuchang District, Wuhan, Hubei, 430063, China.School of Naval Architecture, Ocean and Energy Power Engineering, Wuhan University of Technology, Wuhan, 430063, China; Key Laboratory of Marine Power Engineering and Technology of Ministry of Transport, Wuhan University of Technology, Wuhan, 430063, ChinaChina Shipbuilding Power Engineering Institute CO., Ltd., Shanghai, 200129, ChinaCombustion chamber’s key components of marine engine exhibit varied reliability evaluation indicators, and conventional methodologies fail to account for performance degradation of specific evaluation index because of reliability with coupling and cross-dependencies among different components, consequently rendering existing reliability optimization inadequate for application requirements. Through establishing thermo-mechanical coupling simulations and creep-fatigue life method, the thermal-load characteristics and life indices of key components are systematically analyzed. Response surface methodology is used to establish reliability prediction models under sensitive factors of fuel injection, valve, and cooling systems, and a reliability comprehensive evaluation method based on entropy weight and grey correlation methods has been proposed. Constrained multi-objective optimization of reliability is conducted through contrastive analysis of different optimization algorithms. The research shows that the multi-objective particle swarm optimization algorithm achieves the best performance, the maximum temperatures of the piston, cylinder head, and liner decrease by 3.90 %, 5.66 %, and 6.52 %, the maximum thermo-mechanical coupling stresses reduced by 9.41 %, 7.83 %, and 4.97 % respectively, and creep-fatigue life enhancements reach 3.84 % and 12.67 % for the piston and cylinder head. The study establishes an effective method for reliability optimization of combustion chamber’s key components and presents significant engineering applications for reliability improvement for marine engines.http://www.sciencedirect.com/science/article/pii/S2214157X25007579Marine engineCombustion chamber’s key componentsWeighting analysisReliability evaluationMulti-objective optimization |
| spellingShingle | Lei Hu Wentong Wang Xu Wang Jianguo Yang Yonghua Yu Chunyang Mei Reliability evaluation and multi-objective optimization of combustion chamber’s key components of marine engine Case Studies in Thermal Engineering Marine engine Combustion chamber’s key components Weighting analysis Reliability evaluation Multi-objective optimization |
| title | Reliability evaluation and multi-objective optimization of combustion chamber’s key components of marine engine |
| title_full | Reliability evaluation and multi-objective optimization of combustion chamber’s key components of marine engine |
| title_fullStr | Reliability evaluation and multi-objective optimization of combustion chamber’s key components of marine engine |
| title_full_unstemmed | Reliability evaluation and multi-objective optimization of combustion chamber’s key components of marine engine |
| title_short | Reliability evaluation and multi-objective optimization of combustion chamber’s key components of marine engine |
| title_sort | reliability evaluation and multi objective optimization of combustion chamber s key components of marine engine |
| topic | Marine engine Combustion chamber’s key components Weighting analysis Reliability evaluation Multi-objective optimization |
| url | http://www.sciencedirect.com/science/article/pii/S2214157X25007579 |
| work_keys_str_mv | AT leihu reliabilityevaluationandmultiobjectiveoptimizationofcombustionchamberskeycomponentsofmarineengine AT wentongwang reliabilityevaluationandmultiobjectiveoptimizationofcombustionchamberskeycomponentsofmarineengine AT xuwang reliabilityevaluationandmultiobjectiveoptimizationofcombustionchamberskeycomponentsofmarineengine AT jianguoyang reliabilityevaluationandmultiobjectiveoptimizationofcombustionchamberskeycomponentsofmarineengine AT yonghuayu reliabilityevaluationandmultiobjectiveoptimizationofcombustionchamberskeycomponentsofmarineengine AT chunyangmei reliabilityevaluationandmultiobjectiveoptimizationofcombustionchamberskeycomponentsofmarineengine |