최소 단어 이상 선택하여야 합니다.
최대 10 단어까지만 선택 가능합니다.
다음과 같은 기능을 한번의 로그인으로 사용 할 수 있습니다.
NTIS 바로가기한국가시화정보학회지= Journal of the Korean society of visualization, v.19 no.3, 2021년, pp.31 - 38
임세환 (Department of Mechanical Engineering, Seoul National University of Science and Technology) , 박성군 (Department of Mechanical and Automotive Engineering, Seoul National University of Science and Technology)
The energy harvesting system using an inverted flag is analyzed by using an immersed boundary method to consider the fluid and solid interaction. The inverted flag flutters at a lower critical velocity than a conventional flag. A fluttering motion is classified into straight, symmetric, asymmetric, ...
S. Michelin and O. Doare, Energy harvesting efficiency of piezoelectric flags in axial flows., Journal of Fluid Mechanics 714, 489-504, 2013.
X.-F. He and J. Gao, Wind energy harvesting based on flow-induced-vibration and impact. Microelectronic Engineering 111, 82-86, 2013.
J. J. Allen and A. J. Smits, Energy harvesting eel., Journal of Fluids and Structures 15, 629-640, 2001.
G. W. Taylor, J. R. Burns, S. M. Kammann, W. B. Powers and T. R. Welsh, The Energy Harvesting Eel: a small subsurface ocean/river power generator., IEEE Journal of Oceanic Engineering 26(4), 539-547, 2001.
H. Kim, S. Kang and D. Kim, Dynamics of a flag behind a bluff body., Journal of Fluids and Structures 71, 1-14, 2017.
D. Kim, J. Cosse, C. H. Cerdeira, and M. Gharib, Flapping dynamics of an inverted flag., Journal of Fluid Mechanics 736, R1, 2013.
J. Ryu, S. G. Park, B. Kim and H. J. Sung, Flapping dynamics of an inverted flag in a uniform flow., Journal of Fluids and Structures 57, 159-169, 2015.
K. Shoele and R. Mittal, Energy harvesting by flow-induced flutter in a simple model of an inverted piezoelectric flag., Journal of Fluid Mechanics 790, 582-606, 2016.
Kwon, B., Ejaz, F., and Hwang, L. K., Machine Learning for Heat Transfer Correlations., International Communications in Heat and Mass Transfer, 116, 104694, 2020
M. Babanezhad, I. Behroyan, A. Taghvaie Nakhjiri, M. Rezakazemi, A. Marjani, S. Shirazian, Prediction of turbulence eddy dissipation of water flow in a heated metal foam tube., Scientific Reports, 10, 2020, Article 19280
M. Riedmiller, Advanced supervised learning in multi-layer perceptrons - From backpropagation to adaptive learning algorithms, Computer Standards & Interfaces 16, 265-278, 1994.
W. S. Noble, What is a support vector machine?., Nature biotechnology 24, 1565-1567, 2006.
*원문 PDF 파일 및 링크정보가 존재하지 않을 경우 KISTI DDS 시스템에서 제공하는 원문복사서비스를 사용할 수 있습니다.
Free Access. 출판사/학술단체 등이 허락한 무료 공개 사이트를 통해 자유로운 이용이 가능한 논문
※ AI-Helper는 부적절한 답변을 할 수 있습니다.