Predicting thermal conductivity of liquid suspensions of nanoparticles (nanofluids) based on rheology

By Haisheng Chen, S. Witharana, Y. Jin, Chongyoup Kim, Yulong Ding. 2009

275 citations recorded by the source corpus.

Subfields: Biomedical Engineering, Fluid Flow and Transfer Processes, Mechanical Engineering

View Paper: https://www.semanticscholar.org/paper/f0aca00298bf870770287cf4ce50a063b441e6ac

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In Biomedical Engineering

In Fluid Flow and Transfer Processes

In Mechanical Engineering

Citations in the corpus

Enhanced thermal conductivity of nanofluids: a state-of-the-art review (2010, result): “When the thermal conductivity of the nanolayer is taken as a constant, this model gives the same results as Yu and Choi (2003) model.”
Temperature induced changes in ZnO–water nanofluid: Zeta potential, size distribution and viscosity profiles (2012, background): “For a fixed primary particle size and shape, the size of the aggregates present in the nanofluids (hydrodynamic size) determines their viscosity [8].”
Heat transfer performance and transport properties of ZnO-ethylene glycol and ZnO-ethylene glycol-water nanofluid coolants (2014, methodology): “The factors that greatly affect transport properties of nanofluids include morphology of nanomaterials [18,29,34–36], dispersion quality [37–40] and the method of preparation [41–44].”
A brief review on viscosity of nanofluids (2014, unknown): “[51] introduced fractal geometry to predict the volume fraction increase.”
Nanofluids for Solar Collector Applications: A Review (2014, background): “[81] Chen H, Witharana S, Jin Y, Kim C, Ding Y.”
Particle shape effect on the viscosity and thermal conductivity of ZnO nanofluids (2013, methodology): “The main advantages of these nanofluids are their higher stability, compared to that of fluids containing micro- or milli-sized particles, and their enhanced thermal conductive capability, comparedwith that of base fluids (Choi, 1995; Zussman, 2002). Lee et al. (1999) measured the thermal conductivi”