Metamodel-Based Multidisciplinary Design Optimization of a Deep-Sea Manganese Nodules Test Miner

A deep-sea manganese nodules test miner has not only coupled relationship between system components but also various design requirements of each system to meet the specified multitasks. To accomplish the multiobjectives of complex systems, multidisciplinary design optimization (MDO) is performed. Me...

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Bibliographic Details
Published in:Journal of Applied Mathematics 2012-01, Vol.2012 (2012), p.198-215-215
Main Authors: Hong, Sup, Kim, Hyung-Woo, Choi, Jong-Su, Cho, Su-gil, Lee, Minuk, Lee, Tae Hee
Format: Article
Language:English
Subjects:
Collectors
Design optimization
Experiments
Mineral resources
Optimization algorithms
Studies
Variables
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Summary:A deep-sea manganese nodules test miner has not only coupled relationship between system components but also various design requirements of each system to meet the specified multitasks. To accomplish the multiobjectives of complex systems, multidisciplinary design optimization (MDO) is performed. Metamodels such as the kriging model and the response surface model are employed to reduce computational costs for MDO and to integrate component systems in a design framework. After verifying the accuracy of each metamodel, metamodel-based MDO for a deep-ocean test miner is formulated and performed. Finally, results and advantages of the proposed design methodology are discussed.
ISSN:1110-757X
1687-0042
DOI:10.1155/2012/326954