Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 이태희 | - |
dc.date.accessioned | 2018-04-14T10:09:35Z | - |
dc.date.available | 2018-04-14T10:09:35Z | - |
dc.date.issued | 2011-11 | - |
dc.identifier.citation | 대한기계학회 논문집, 2011, P.336-341 | en_US |
dc.identifier.uri | http://www.dbpia.co.kr/Journal/ArticleDetail/NODE02041628 | - |
dc.identifier.uri | http://hdl.handle.net/20.500.11754/66138 | - |
dc.description.abstract | A deep-sea manganese nodule miner consists of 4 parts: pickup device, crusher, disposal device and tracked vehicle. The tracked vehicle is an essential component in the self-propelled mining system moving on soft soil. Performances of the tracked vehicle are influenced by noise factors; track speed, seafloor slope, shear stress, bottom currents and reaction forces of flexible hose. It is necessary to adopt robust design method that improves performances as well as minimize the variation of performances due to noise factors. Robust design optimization using statistical moments based on multiplicative decomposition method, calculate statistical moments using explicit integral of kriging metamodel and probability density functions of noise factors, can accurately and efficiently search for the robust optimum. In this paper, we adopt robust design optimization using statistical moments based on multiplicative decomposition method for test miner tracked vehicle on collecting operation. | en_US |
dc.description.sponsorship | 본 논문은 국토해양부 특정연구과제인 “파일럿집광시스템의 신뢰성 기반 최적설계 연구” 과제의 지원으로 수행되었습니다. 본 연구에 대해 전폭적으로 지원해주신 국토해양부 관계자들께 감사 드립니다. | en_US |
dc.language.iso | ko_KR | en_US |
dc.publisher | 대한기계학회 | en_US |
dc.subject | 강건 최적설계 | en_US |
dc.subject | 심해저 채광 차량 | en_US |
dc.subject | 곱분해 기법 | en_US |
dc.subject | 크리깅 메타모델 | en_US |
dc.subject | Robust Design Optimization | en_US |
dc.subject | Deep-sea Ocean Mining Vehicle | en_US |
dc.subject | Multiplicative Decomposition Method | en_US |
dc.subject | Kriging Metamodel | en_US |
dc.title | 심해저 환경인자를 고려한 시험집광기 중행장치의 곱분해 기법 기반 통계적 모멘트를 이용한 효율적인 강건 최적설계 | en_US |
dc.title.alternative | Efficient Robust Design Optimization Using Statistical Moment based on Multiplicative Decomposition Method of Test Miner Tracked Vehicle on Collecting Operation for Deep-sea Environmental Noise Factors | en_US |
dc.type | Article | en_US |
dc.relation.page | 336-341 | - |
dc.contributor.googleauthor | 조수길 | - |
dc.contributor.googleauthor | 이민욱 | - |
dc.contributor.googleauthor | 임우철 | - |
dc.contributor.googleauthor | 최종수 | - |
dc.contributor.googleauthor | 김형우 | - |
dc.contributor.googleauthor | 홍섭 | - |
dc.contributor.googleauthor | 이태희 | - |
dc.contributor.googleauthor | Cho, Su-gil | - |
dc.contributor.googleauthor | Lee, Minuk | - |
dc.contributor.googleauthor | Lim, Woochul | - |
dc.contributor.googleauthor | Choi, Jong-Su | - |
dc.contributor.googleauthor | Kim, Hyung Woo | - |
dc.contributor.googleauthor | Hong, Sup | - |
dc.contributor.googleauthor | Lee, Tae Hee | - |
dc.sector.campus | S | - |
dc.sector.daehak | COLLEGE OF ENGINEERING[S] | - |
dc.sector.department | DEPARTMENT OF AUTOMOTIVE ENGINEERING | - |
dc.identifier.pid | thlee | - |
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