심해저의 이산정보를 고려한 채집시스템의 불확실성 기반 다분야 최적설계
- Title
- 심해저의 이산정보를 고려한 채집시스템의 불확실성 기반 다분야 최적설계
- Other Titles
- Uncertainty-based Multidisciplinary Design Optimization of Pilot Miner System Considering Discrete Data of Deep-sea Environment
- Author
- 이태희
- Keywords
- 이산화 정보; 심해저 환경; 집광로봇 시스템; 불확실성 기반 다분야 통합 최적설계; Discrete Data; Deep-sea Environment; Pilot Miner System; Uncertainty-based Multidisciplinary Design Optimization
- Issue Date
- 2014-11
- Publisher
- 대한기계학회 / The Korean Society of Mechanical Engineers
- Citation
- 대한기계학회 춘추학술대회, 2014(11), pp.1104-1105(2쪽)
- Abstract
- Deep-sea manganese nodules which have been found on the seafloor contain many kinds of metals such as manganese, copper and rare-earth elements as well. A pilot miner system which is designed for collecting manganese nodules consists of three subsystems, a collector, a crawler and a chassis structure. It collects manganese nodules while traveling on cohesive soft soil of deep-sea floor about 5,000 meters depth. There are a variety of design requirements related to mining systems. Hence the pilot miner system cannot be designed with an objective of a single part only. Meanwhile, because a pilot miner is operated in inaccessible area where people had no interests in the past, the environment is unknown or unexpected. Thus, data of the deep-sea environment exist in discrete form through exploration for ten years. These discrete data should be considered and estimated in design phase. In this paper, uncertainty-based multidisciplinary design optimization of a pilot miner system, which is able to consider each subsystems and discrete data of deep-sea environment, is performed.
- URI
- http://www.dbpia.co.kr/Journal/ArticleDetail/NODE06069514http://hdl.handle.net/20.500.11754/56778
- Appears in Collections:
- COLLEGE OF ENGINEERING[S](공과대학) > AUTOMOTIVE ENGINEERING(미래자동차공학과) > Articles
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