Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 최동훈 | - |
dc.date.accessioned | 2018-11-15T05:22:22Z | - |
dc.date.available | 2018-11-15T05:22:22Z | - |
dc.date.issued | 2016-09 | - |
dc.identifier.citation | INTERNATIONAL JOURNAL OF AERONAUTICAL AND SPACE SCIENCES, v. 17, NO. 3, Page. 423-431 | en_US |
dc.identifier.issn | 2093-274X | - |
dc.identifier.issn | 2093-2480 | - |
dc.identifier.uri | http://koreascience.or.kr/article/ArticleFullRecord.jsp?cn=HGJHC0_2016_v17n3_423 | - |
dc.identifier.uri | https://repository.hanyang.ac.kr/handle/20.500.11754/80435 | - |
dc.description.abstract | In this study, wing design optimization for long-endurance unmanned aerial vehicles (UAVs) is investigated. The fluid-structure integration (FSI) analysis is carried out to simulate the aeroelastic characteristics of a high-aspect ratio wing for a long-endurance UAV. High-fidelity computational codes, FLUENT and DIAMOND/IPSAP, are employed for the loose coupling FSI optimization. In addition, this optimization procedure is improved by adopting the design of experiment (DOE) and Kriging model. A design optimization tool, PIAnO, integrates with an in-house codes, CAE simulation and an optimization process for generating the wing geometry/computational mesh, transferring information, and finding the optimum solution. The goal of this optimization is to find the best high-aspect ratio wing shape that generates minimum drag at a cruise condition of C-L = 1.0. The result shows that the optimal wing shape produced 5.95 % less drag compared to the initial wing shape. | en_US |
dc.description.sponsorship | This study has been supported by the Korea Aerospace Research Institute (KARI) under the program, System and Operational Technology Research for Electric Airplane (II) and the authors appreciate PIDOTECH Inc. for providing PIAnO software. | en_US |
dc.language.iso | en | en_US |
dc.publisher | KOREAN SOC AERONAUTICAL & SPACE SCIENCES | en_US |
dc.subject | Long endurance UAV(unmanned aerial vehicle) | en_US |
dc.subject | CFD(computational fluid dynamics) | en_US |
dc.subject | FSI(fluid-structure integration) analysis | en_US |
dc.subject | Design optimization | en_US |
dc.subject | Kriging method | en_US |
dc.title | Wing Design Optimization for a Long-Endurance UAV using FSI Analysis and the Kriging Method | en_US |
dc.type | Article | en_US |
dc.relation.no | 3 | - |
dc.relation.volume | 17 | - |
dc.identifier.doi | 10.5139/IJASS.2016.17.3.423 | - |
dc.relation.page | 423-431 | - |
dc.relation.journal | INTERNATIONAL JOURNAL OF AERONAUTICAL AND SPACE SCIENCES | - |
dc.contributor.googleauthor | Son, Seok-Ho | - |
dc.contributor.googleauthor | Choi, Byung-Lyul | - |
dc.contributor.googleauthor | Jin, Won-Jin | - |
dc.contributor.googleauthor | Lee, Yung-Gyo | - |
dc.contributor.googleauthor | Kim, Cheol-Wan | - |
dc.contributor.googleauthor | Choi, Dong-Hoon | - |
dc.relation.code | 2016003915 | - |
dc.sector.campus | S | - |
dc.sector.daehak | COLLEGE OF ENGINEERING[S] | - |
dc.sector.department | DIVISION OF MECHANICAL ENGINEERING | - |
dc.identifier.pid | dhchoi | - |
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