Multidisciplinary Design Optimization of Crankshaft Structure Based on Cooptimization and Multi-Island Genetic Algorithm
Joint Authors
Liu, Jian
Yu, Gaoyuan
Li, Yao
Wang, Hongmin
Xiao, Wensheng
Source
Mathematical Problems in Engineering
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-06-19
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
The feasibility design method with multidisciplinary and multiobjective optimization is applied in the research of lightweight design and NVH performances of crankshaft in high-power marine reciprocating compressor.
Opt-LHD is explored to obtain the experimental scheme and perform data sampling.
The elliptical basis function neural network (EBFNN) model considering modal frequency, static strength, torsional vibration angular displacement, and lightweight design of crankshaft is built.
Deterministic optimization and reliability optimization for lightweight design of crankshaft are operated separately.
Multi-island genetic algorithm (MIGA) combined with multidisciplinary cooptimization method is used to carry out the multiobjective optimization of crankshaft structure.
Pareto optimal set is obtained.
Optimization results demonstrate that the reliability optimization which considers the uncertainties of production process can ensure product stability compared with deterministic optimization.
The coupling and decoupling of structure mechanical properties, NVH, and lightweight design are considered during the multiobjective optimization of crankshaft structure.
Designers can choose the optimization results according to their demands, which means the production development cycle and the costs can be significantly reduced.
American Psychological Association (APA)
Liu, Jian& Yu, Gaoyuan& Li, Yao& Wang, Hongmin& Xiao, Wensheng. 2016. Multidisciplinary Design Optimization of Crankshaft Structure Based on Cooptimization and Multi-Island Genetic Algorithm. Mathematical Problems in Engineering،Vol. 2016, no. 2016, pp.1-11.
https://search.emarefa.net/detail/BIM-1112892
Modern Language Association (MLA)
Liu, Jian…[et al.]. Multidisciplinary Design Optimization of Crankshaft Structure Based on Cooptimization and Multi-Island Genetic Algorithm. Mathematical Problems in Engineering No. 2016 (2016), pp.1-11.
https://search.emarefa.net/detail/BIM-1112892
American Medical Association (AMA)
Liu, Jian& Yu, Gaoyuan& Li, Yao& Wang, Hongmin& Xiao, Wensheng. Multidisciplinary Design Optimization of Crankshaft Structure Based on Cooptimization and Multi-Island Genetic Algorithm. Mathematical Problems in Engineering. 2016. Vol. 2016, no. 2016, pp.1-11.
https://search.emarefa.net/detail/BIM-1112892
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1112892