Optimization of manganese ferrite/distilled water parameter design on heat exchanger using RSM and CFD

Abstract

Nanofluid is the new fluid in nanotechnology development. Its features carry the ability of fastly discharging heat transfer. Thus, it becomes beneficial for various applications, such as heat transfer, refrigeration, and some devices or machines. This study aims to investigate the performance of a response parameter in a heat exchanger with MnFe2O4 – H2O nanofluid as its cold fluid on various input parameters of tube number, cold fluid flow, and nanoparticle volume fraction to identify the optimum value of heat transfer rate. This study used Response Surface Methodology (RSM) that usually adopted to know the optimum value of a response from an influencing factor. Besides, it also used Computational Fluid Dynamics (CFD) to analyze the heat transfer on the fluid flow computationally. The results of this research show that the optimum parameter value of the heat transfer rate is 42.8022 Watt with 0.075% nanoparticle volume fraction, 0.6l/min nanofluid flow, and three heat exchanger tubes. The rate of heat transfer encounters an increase following the addition of MnFe2O4 nanoparticle volume fraction, cold fluid or nanofluid flow, and the number of heat exchanger tubes.