Research on lightweight and fatigue life of engine hood based on multi-objective particle swarm optimization Article Swipe
Wei Li
,
Long Yan
,
Xueqiang Liu
,
Henghai Zhang
,
Xiaojun Wang
·
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.1177/16878132221114210
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.1177/16878132221114210
A multi-objective optimization method is presented in this paper, aiming at improving the fatigue life of the engine hood while achieving light weight. By analyzing the factors affecting the fatigue life of the engine hood, a multi-objective optimization model was established that considered five design variables including the thickness of the inner plate, the thickness of the outer plate, the stiffness of the hook, the stiffness of the sealing strip, and the height of the buffer block. Then, the multi-objective particle swarm method was used for optimization, and the optimal solution was obtained in the form of a Pareto set. The ideal compromise solution was determined from the Pareto set by using fuzzy membership functions. On this basis, the optimal solution was determined from the Pareto set by comprehensively considering the steel plate material specification, mold and cost constraints. The torsional deformation test and switch fatigue test show that for the optimized engine hood, the fatigue life is increased by 117%, the mass is reduced by 0.51 kg, and the torsional deformation of the engine hood does not increase significantly. The proposed multi-objective optimization method is proved to be feasible and effective in improving engine hood fatigue life and lightweight design.
Related Topics
Concepts
Particle swarm optimization
Multi-objective optimization
Structural engineering
Stiffness
Pareto principle
Cylinder block
Engineering
Set (abstract data type)
Computer science
Mathematical optimization
Automotive engineering
Mathematics
Algorithm
Diesel engine
Programming language
Operations management
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1177/16878132221114210
- OA Status
- gold
- Cited By
- 3
- References
- 30
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4288760624
All OpenAlex metadata
Raw OpenAlex JSON
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https://openalex.org/W4288760624Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1177/16878132221114210Digital Object Identifier
- Title
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Research on lightweight and fatigue life of engine hood based on multi-objective particle swarm optimizationWork title
- Type
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articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
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2022Year of publication
- Publication date
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2022-07-01Full publication date if available
- Authors
-
Wei Li, Long Yan, Xueqiang Liu, Henghai Zhang, Xiaojun WangList of authors in order
- Landing page
-
https://doi.org/10.1177/16878132221114210Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://doi.org/10.1177/16878132221114210Direct OA link when available
- Concepts
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Particle swarm optimization, Multi-objective optimization, Structural engineering, Stiffness, Pareto principle, Cylinder block, Engineering, Set (abstract data type), Computer science, Mathematical optimization, Automotive engineering, Mathematics, Algorithm, Diesel engine, Programming language, Operations managementTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
3Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 1, 2024: 2Per-year citation counts (last 5 years)
- References (count)
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30Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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