Nanoparticle migration on the microchannel wall surface in low-Reynolds-number nanofluids
Source abstract
Abstract
In this study, nanoparticle deposition probabilities were numerically estimated for aqueous TiO2–water nanofluid flows (containing a colloidal suspension of TiO2 nanoparticles with a nominal diameter of 50 nm) in a microchannel under constant heat flux boundary conditions. To determine the effect of different thermo-hydraulic conditions on the nanoparticle migration near the wall surface at very low Reynolds numbers (i.e., ∼5), a user-defined function code for nanoscale interactions between molecules was considered in addition to the Euler–Lagrange model based on conventional computational fluid dynamics and heat transfer methods. The simulation results were compared with experimental observations to assess the accuracy of the numerical model. Furthermore, the effects of various parameters, such as the flow rate, wall temperature, and particle concentration, on the deposition probability of nanofluids were studied. The dominant factors enhancing the deposition probability were as follows: nanoparticle fraction (1.64) > flow rate (1.30) > heat flux (1.0).
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Nanofluid Flow and Heat Transfer · Heat Transfer Mechanisms · Fluid Dynamics and Turbulent Flows
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Department of Automotive Engineering, Yeungnam University 1 , 280 Daehak-ro, Gyeongsan, Gyeongbuk 38541, Republic of Korea
LG Electronics 2 , 10 Magokjungang 10-ro, Gangseo-gu, Seoul 07796, Republic of Korea
Department of Mechanical Engineering, Texas A&M University 3 , College Station, Texas 77843-3123, USA
Funding
Korea Institute of Energy Technology Evaluation and Planning
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