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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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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cited_by cdi_FETCH-LOGICAL-a551t-a61d80409ecc3acbe1659e466e1051a00e79620492cb43eb9373c5d1d25c6e7b3
cites cdi_FETCH-LOGICAL-a551t-a61d80409ecc3acbe1659e466e1051a00e79620492cb43eb9373c5d1d25c6e7b3
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container_issue 2012
container_start_page 198
container_title Journal of Applied Mathematics
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creator Hong, Sup
Kim, Hyung-Woo
Choi, Jong-Su
Cho, Su-gil
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description 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.
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subjects Collectors
Design optimization
Experiments
Mineral resources
Optimization algorithms
Studies
Variables
title Metamodel-Based Multidisciplinary Design Optimization of a Deep-Sea Manganese Nodules Test Miner
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