Multi-Objective Optimization of Plate-Fin Heat Exchanger Using Taguchi-based Grey Relational Analysis

Abstract

This work involves the investigation of values of design constraints which are optimum and which can be used or helpful in design optimization of Plate-Fin Heat Exchanger (PFHE). Core Area, Core Length Reynolds’s Number and Fin Height. Pressure drop (Minimum–Friction factor) and heat transfer (maximum–Nusselt number) are fixed as the responses. The Taguchi method for Design of Experiments (DOE) has been used to frame the number of experiments for the taken values of the factors and Response surface methodology (RSM) has been used as the optimization tool from MINITAB. At the end optimization curves are obtained to find the optimal values of the factors resulting in the desired values of responses MINITAB. A conclusion is made to find out the best statistical model for optimization of performance parameters in a PFHE. For the purpose, Plate fin heat exchanger is considered.