Abstract

Convex plate heat exchangers have drawn much interest across various industries thanks to their improved heat transfer efficiency and compact design. Research examines the characteristics of convex plate heat exchangers in this study through a combined experimental and numerical method. A mixture that contains water and copper nanoparticles is known as a copper-water nanofluid. A multi-objective optimization technique is used in this study to give an experimental and numerical evaluation of the nanofluid heat transfer and flow properties of a convex plate heat exchanger. Numerical execution is performed using the ANSYS software, and the materials for the convex plate are copper and water. This study aims to improve the nanofluid flow performance and the heat transfer efficiency of heat transfer of the heat exchanger by optimizing its design parameters. The heat exchanger’s temperature distributions and pressure drops are measured using an experimental setup, and numerical execution is used to forecast the heat transfer coefficients and pressure losses. The ideal design parameters that concurrently maximize heat transmission and minimize pressure drop are discovered using a multi-objective optimization technique. The findings of this study enable the creation of more effective and affordable heat exchanger layouts for various industrial applications by offering useful insights into the transfer of heat and flow behavior of the convex plate heat exchanger.

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