Assessment of Measurement Accuracy of a Micro-PIV Technique for Quantitative Visualization of Al 2 O 3 and MWCNT Nanofluid Flows

Hanwook Park, Jeonggyun Ham, Honghyun Cho and Sung Yong Jung
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Hanwook Park: Department of Medical and Mechatronics Engineering, Soonchunhyang University, 22 Soonchunhyang-Ro, Asan, Chungnam 31538, Korea
Jeonggyun Ham: Department of Mechanical Engineering, Chosun University, 309 Pilmun-Daero, Dong-gu, Gwangju 61452, Korea
Honghyun Cho: Department of Mechanical Engineering, Chosun University, 309 Pilmun-Daero, Dong-gu, Gwangju 61452, Korea
Sung Yong Jung: Department of Mechanical Engineering, Chosun University, 309 Pilmun-Daero, Dong-gu, Gwangju 61452, Korea

Energies, 2019, vol. 12, issue 14, 1-10

Abstract: Nanofluids, which are liquids containing nanoparticles, are used to modify heat transfer performance in various systems. To explain the mechanism of heat transfer modification with nanofluids, many theories have been suggested based on numerical simulations without experimental validation because there is no suitable experimental method for measuring the velocity fields of nanofluid flows. In this study, the measurement accuracy of micro-particle image velocimetry (μ-PIV) is systemically quantified with Al 2 O 3 and multi-walled carbon nanotube (MWCNT) nanofluids. Image quality, cross-correlation signal-to-noise ratio, displacement difference, and spurious vector ratio are investigated with static images obtained at various focal plane positions along the beam pathway. Applicable depth is enough to investigate micro-scale flows when the concentrations of Al 2 O 3 and MWCNT nanofluids are lower than 0.01% and 0.005%, respectively. The velocity fields of Hagen–Poiseuille flow are measured and compared with theoretical velocity profiles. The measured velocity profiles present good agreement with the theoretical profiles throughout. This study provides the criteria for μ-PIV application and demonstrates that μ-PIV is a promising technique for measuring the velocity field information of nanofluids.

Keywords: nanofluids; velocity field measurement; particle image velocimetry; correlation signal-to-noise ratio (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2019
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