Institution
Korea Aerospace University
Education•Goyang-si, South Korea•
About: Korea Aerospace University is a education organization based out in Goyang-si, South Korea. It is known for research contribution in the topics: Combustion & Thin film. The organization has 1410 authors who have published 2478 publications receiving 23684 citations. The organization is also known as: Hankuk Aviation University.
Topics: Combustion, Thin film, Heat transfer, Thin-film transistor, Nanofluid
Papers published on a yearly basis
Papers
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Massachusetts Institute of Technology1, Illinois Institute of Technology2, Franklin W. Olin College of Engineering3, Kent State University4, Rensselaer Polytechnic Institute5, Texas A&M University6, Ulsan National Institute of Science and Technology7, Tokyo Institute of Technology8, University of Naples Federico II9, Sasol10, University of Leeds11, University of Pittsburgh12, Indian Institute of Technology Madras13, Université libre de Bruxelles14, Silesian University of Technology15, North Carolina State University16, ETH Zurich17, IBM18, The Chinese University of Hong Kong19, Stanford University20, University of Puerto Rico at Mayagüez21, South Dakota School of Mines and Technology22, Korea Aerospace University23, Nanyang Technological University24, Helmut Schmidt University25, National Institute of Standards and Technology26, Korea University27, Indian Institute of Technology Kharagpur28, Indira Gandhi Centre for Atomic Research29, Queen Mary University of London30, Argonne National Laboratory31
TL;DR: The International Nanofluid Property Benchmark Exercise (INPBE) as mentioned in this paper was held in 1998, where the thermal conductivity of identical samples of colloidally stable dispersions of nanoparticles or "nanofluids" was measured by over 30 organizations worldwide, using a variety of experimental approaches, including the transient hot wire method, steady state methods, and optical methods.
Abstract: This article reports on the International Nanofluid Property Benchmark Exercise, or INPBE, in which the thermal conductivity of identical samples of colloidally stable dispersions of nanoparticles or “nanofluids,” was measured by over 30 organizations worldwide, using a variety of experimental approaches, including the transient hot wire method, steady-state methods, and optical methods. The nanofluids tested in the exercise were comprised of aqueous and nonaqueous basefluids, metal and metal oxide particles, near-spherical and elongated particles, at low and high particle concentrations. The data analysis reveals that the data from most organizations lie within a relatively narrow band (±10% or less) about the sample average with only few outliers. The thermal conductivity of the nanofluids was found to increase with particle concentration and aspect ratio, as expected from classical theory. There are (small) systematic differences in the absolute values of the nanofluid thermal conductivity among the various experimental approaches; however, such differences tend to disappear when the data are normalized to the measured thermal conductivity of the basefluid. The effective medium theory developed for dispersed particles by Maxwell in 1881 and recently generalized by Nan et al. [J. Appl. Phys. 81, 6692 (1997)], was found to be in good agreement with the experimental data, suggesting that no anomalous enhancement of thermal conductivity was achieved in the nanofluids tested in this exercise.
942 citations
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TL;DR: The food industry is becoming more customer-oriented and needs faster response times to deal with food scandals and incidents as mentioned in this paper, therefore, traceability is applied as a tool to assist in the assurance of food safety and quality as well as to achieve consumer confidence.
843 citations
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TL;DR: Aqueous nanofluids containing low volume concentrations of Al2O3 nanoparticles in the 0.01-0.3 vol% range were produced and characterized in this paper.
713 citations
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TL;DR: In this article, the authors measured the pressure drop and convective heat transfer coefficient of water-based Al2O3 nanofluids flowing through a uniformly heated circular tube in the fully developed laminar flow regime.
573 citations
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TL;DR: It is concluded that the Gaussian process is easy and fast to implement, but works well only when the covariance function is properly defined, and the neural network has the advantage in the case of large noise and complex models but only with many training data sets.
347 citations
Authors
Showing all 1419 results
Name | H-index | Papers | Citations |
---|---|---|---|
Kwang-Ryeol Lee | 47 | 311 | 7995 |
Byungkyu Kim | 43 | 257 | 5675 |
Hoon Kim | 37 | 605 | 6010 |
Junku Yuh | 35 | 109 | 4018 |
Youdan Kim | 34 | 315 | 5969 |
Myunghwan Byun | 33 | 79 | 4560 |
Dong Seong Kim | 30 | 185 | 3482 |
Jang Gyu Lee | 29 | 151 | 2674 |
Seok Pil Jang | 27 | 96 | 7141 |
Wan Sik Hwang | 26 | 121 | 5712 |
Davoodbasha MubarakAli | 25 | 64 | 3359 |
Seung Hwan Lee | 25 | 151 | 1986 |
Seong-taek Hwang | 24 | 150 | 2069 |
Yong Gyu Choi | 24 | 116 | 1885 |
Wooseok Song | 24 | 187 | 2244 |