Abstract
This paper presents a combined static and dynamic mechanisms-based model for predicting the effective thermal conductivity of nanofluids. The model includes the effects of particle size, nanolayer, Brownian motion, and particle surface chemistry and interaction potential which are the static and dynamic mechanisms responsible for the enhanced effective thermal conductivity of nanofluids. Present model shows reasonably good agreement with the experimental results of several types of nanofluids and gives better predictions compared to the existing models.
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