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Effective viscosity is helpful for the thermal design tasks in process industries, especially those related to pumping devices. Therefore, rheological behavior of nanofluids is important from power consumption point of view. In this study, an artificial neural network (ANN) model is developed to predict the effective viscosity of nanofluids based on a high number of experimental data available in...
Nanoparticles are one of the most promising materials with significant capability to increase the heat transfer coefficient and the thermal conductivity of a base fluid, while their addition to the fluid will decrease viscosity and friction factor. Some of the nanoparticles have high thermal conductivity, which candidate them for practical application as nanoadditives in process industries. This work...
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