Asian Journal of Engineering and Technology Innovation

EnergySaving on Nano Particles

S. Mohammadi

Department of Physics, Payame Noor University, Tehran, Iran

Abstract

In this paper, neural network method was employed to estimate saving energy on Nano fluids. Different operational parameters such as heat flux, thermal conductivity of fluids, nanoparticle concentration and flow Reynolds number were performed to measure the effects of Nano fluids on saving energy. In order to model process, these operational parameters introduce to artificial neural network as inputs. Static factors such as mean square error and correlation coefficient were determined and indicate high performance of ANN in modeling this process. Addition of nanoparticles into the base fluid enhances the saving energy and this effect is more considerable in base fluids with lower thermal conductivity and flow with higher Reynolds number and higher heat fluxes.

Keywords:

Nano Particles; Saving Energy; Artificial Neural Networks