[논문]조선대학교 유동가시화 실험실

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조선대학교 유동가시화 실험실
Flow visualization Laboratory 원문보기

한국가시화정보학회지= Journal of the Korean society of visualization, v.19 no.3, 2021년, pp.3 - 14

정성용 (조선대학교 기계공학과)

초록이 없습니다.

표/그림 (21)

그림 Fig. 1. Variations of diameter and generating rate of boiling bubbles with change in Al₂O₃ nanofluid concentration. (Park et al. 2019)³
그림 Fig. 2. Temporal variations of (a) diameter and generating rate of boiling bubbles for 0.1% concentration of Al₂O₃ nanofluid, and (b) corresponding typical X-ray images. Superheated temperature is constant after 2 min. (c) Particle deposition on heated surfaces. (Park et al. 2019)⁵
그림 Fig. 3. Images of nanofluids with fluorescent microspheres obtained at various z positions. (Park et al. 2019)⁶
그림 Fig. 4. Variation of correlation signal-to-noise ratio (SNR) with changes in the focal plane depth. SNR is normalized with SNR₀ (peak to correlation energy at the smallest z for each case, Park et al. 2019)⁶.
그림 Fig. 5. Schematic diagram of the experimental setup used for velocity and temperature field measurements. (b) Design of the MCHS. Typical (c) velocity and (d) temperature fields of Al₂O₃ nanofluid in the MCHS. (Jung and Park, 2021)⁸
그림 Fig. 6. Temporal evolution of the total thermal entropy generation rate for unit area in the heated MCHS. (Jung and Park, 2021)⁸
그림 Fig. 8. Thermal-resistance variations for various FRs with a free convective cooling. (Ahmad et al. 2020)¹¹
그림 Fig. 7. (a) Experimental layout, (b) schematics of the devices for free and forced convective operations and (c) picture of the laboratory experimental set-up. (Ahmad and Jung, 2020)¹²
그림 Fig. 9. States of flow changes from start-up pulsations to dry-out conditions for (a) free and (b) Forced convection. (Ahmad and Jung 2020)¹²
그림 Fig. 10. Comparison of thermal resistance for free and forced convective CLPHP. (Ahmad and Jung 2020)¹²
그림 Fig. 11. Unet framework for multispectral segmentation. (a) Preparation of ground truth pixel data store and (b) raw and labeled data sets are used to train a proposed Unet. The trained network accurately achieve segmented results. (Ahmad et al. 2020)¹⁴
그림 Fig. 12. (a) Segmented bubble images for the extraction of individual bubble phase information using in-home MATLAB code. Flow regimes map for methanol in terms of non-dimensional groups; (b) a fully developed novel flow regimes map and (c) flow pattern map indicating different regimes. The elongated plug flow is considered as the transition zone to the annular/ semi-annular flow. (Ahmad et al. 2020)¹⁴
그림 Fig. 13. Raw X-ray image for a computed tomography, x-y plane reconstructed image, 3D rendered images of GDL, and pore network model developed after making 3D stacking of segmented images.
그림 Fig. 15. Polarization curves of pristine and degradation GDLs
그림 Fig. 14. (a) Schematic illustration and photograph of developed flow visualization kits for visualizing dynamic water behaviors inside GDL. (b) Contours of water amount along in-plane and through plane directions. (c) Time variations of water at gas channels. (d) Comparison of normalized water contents variations inside pristine and degradation GDLs with area injection type kit.
그림 Fig. 18. Comparison of water harvesting efficiencies with various collector shapes
그림 Fig. 16. (a) Time variations of water collection amount for #20 mesh (BM: Base mesh, SHPM: Super hydrophilic mesh, SHBM: Super hydrophobic mesh). (b) Comparison of water collection efficiency. (Kang et al. 2021)¹⁹
그림 Fig. 17. (a) Schematics of fog harvesting and droplet losses in industrial cooling towers. (b) Modified collector and fog flow around concaved collector. (c) Schematic diagram of a scaled-down water harvesting experimental setup simulating fog-laden flows around industrial cooling towers.
그림 Fig. 20. Mean velocity vectors and turbulent kinetic energy contours for various side jet velocities of a: 0, b: 0.58, c: 1.15, d: 1.73, e: 2.30, f: 2.88m/s. Yellow circle represents centers of exhaust fan, and white dotted line shows the boundary of vortex core. (Kang et al.)²²
그림 Fig. 21. Vorticity contours in vortex core region at various vertical positions. Contours superimposed on three-dimensional vortex core pattern. Red curve and green surface represent path of vortex center and boundary of vortex core, respectively. (Kang et al.)²²
그림 Fig. 19. (a) Schematic diagram of PIV experimental set-up (b) Picture of the prototype system of the tornado-like vortex ventilation installed in an iron manufacturing factor. (Kang et al.)²²

참고문헌 (22)

S.U. Choi, J.A. Eastman, 1995, "Enhancing thermal conductivity of fluids with nanoparticles," Argonne National Lab., IL (United States), No. ANL/MSD/CP-84938; CONF-951135-29.
I. Pioro, W. Rohsenow, S. Doerffer, 2004, "Nucleate pool-boiling heat transfer. I: review of parametric effects of boiling surface," International Journal of Heat and Mass Transfer, Vol. 47, pp.5033-5044.

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H. Park, S.J. Lee, S.Y. Jung, 2019, "X-ray imaging analysis on behaviors of boiling bubbles in nanofluids," International Journal of Heat and Mass Transfer, Vol.128, pp.443-449.

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I.C. Bang, S.H. Chang, 2005, "Boiling heat transfer performance and phenomena of Al2O3-water nano-fluids from a plain surface in a pool," International Journal of Heat and Mass Transfer, Vol. 48, pp.2407-2419.

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H. Park, S.J. Lee, S.Y. Jung, 2019, "Effect of nanofluid formation methods on behaviors of boiling bubbles," International Journal of Heat and Mass Transfer, Vol.135, pp.1312-1318.

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H. Park, J. Ham, H. Cho, S.Y. Jung, 2019, "Assessment of Measurement Accuracy of a Micro-PIV Technique for Quantitative Visualization of Al2O3 and MWCNT Nanofluid Flows," Energies, Vol.12, pp.2777.

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Z. Xue, J. J. Charonko, P. P. Vlachos, 2014, "Particle image velocimetry correlation signal-to-noise ratio metrics and measurement uncertainty quantification," Measurement Science and Technology, Vol.25, pp. 115301.

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S.Y. Jung, H. Park, 2021, "Experimental investigation of heat transfer of Al2 O3 nanofluid in a microchannel heat sink," International Journal of Heat and Mass Transfer, Vol.179, pp.121729.

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A. Bejan, G. Tsatsaronis, M.J. Moran, 1995, "Thermal design and optimization," John Wiley & Sons.
F.P.H. Akachi, P. Stulc, 1996, "Pulsating heat pipes," Proceedings of the 5th International Heat Pipe Symposium, pp. 208-217.
H. Ahmad, S.K. Kim, S.Y. Jung, 2020, "Analysis of thermally driven flow behaviors for two-turn closed-loop pulsating heat pipe in ambient conditions: An experimental approach," International Journal of Heat and Mass Transfer, Vol.150, pp.119245.

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H. Ahmad, S.Y. Jung, 2020, "Effect of active and passive cooling on the thermo-hydrodynamic behaviors of the closed-loop pulsating heat pipes," International Journal of Heat and Mass Transfer, Vol.156, pp.119814.

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M.M.F. Figueiredo, J.L. Goncalves, A.M.V. Nakashima, A.M.F. Fileti, R.D.M. Carvalho, 2016, "The use of an ultrasonic technique and neural networks for identification of the flow pattern and measurement of the gas volume fraction in multiphase flows," Experimental Thermal and Fluid Science, Vol.70. pp.29-50.

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H. Ahmad, S.K. Kim, J.H. Park, S.Y. Jung, 2022, "Development of two-phase flow regime map for thermally stimulated flows using deep learning and image segmentation technique," International Journal of Multiphase Flow, Vol.146, pp.103869.

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L. Pietrasanta, M. Mameli, D. Mangini, A. Georgoulas, N. Miche, S. Filippeschi, M. Marengo, 2020, "Developing flow pattern maps for accelerated two-phase capillary flows," Experimental Thermal and Fluid Science, Vol.112, pp.109981.

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J. Katzel, H. Markotter, T. Arlt, M. Klages, J. Haussmann, M. Messerschmidt, N. Kardjilov, J. Scholta, J. Banhart, I. Manke, 2016, "Effect of Ageing of Gas Diffusion Layers on the Water Distribution in Flow Field Channels of Polymer Electrolyte Membrane Fuel Cells," Journal of Power Sources, Vol.301, pp.386-391.

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R. Ghosh, K.R. Tapan, G. Ranjan, 2015, "Cooling tower fog harvesting in power plants-A pilot study," Energy, Vol.89, pp.1018-1028.

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J. Rivera, 2011, "Aerodynamic collection efficiency of fog water collectors," Atmospheric Research, Vol.102, pp.335-342.

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J.H. Kang, J-W. Lee, J.Y. Kim, J.W. Moon, H.S. Jang, S.Y. Jung, 2021, "Effect of Mesh Wettability Modification on Atmospheric and Industrial Fog Harvesting," Frontiers in Physics, Vol.9, pp.680641.

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Y. Lim, S. Lee, J. Lee, 2011, "Characteristics of ventilating flow generated by a rotating swirler in a vortex vent," Journal of Fluids and Structures, Vol.27, pp.427-437.

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Y. Yan, X. Li, J. Tu, P. Feng, J. Zhang, 2019, "Characterisation and analysis of indoor tornado for contaminant removal and emergency ventilation," Building and Environment, Vol.164, pp.106345.

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J.H.Kang, J.J Kim, H. Park, S.Y. Jung, "Characterization of tornado like flows for improving vortex ventilation performance", Journal of Building Engineering, in press, doi.org/10.1016/j.jobe.2021.103726.

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표제어: PCR

동의어: Packet Collision Rate

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Flow visualization Laboratory 원문보기

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조선대학교 유동가시화 실험실 Flow visualization Laboratory 원문보기

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Flow visualization Laboratory 원문보기

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