Abo Bibliothek: Guest

ISSN Online: 2377-424X

ISBN Print: 978-1-56700-421-2

International Heat Transfer Conference 15
August, 10-15, 2014, Kyoto, Japan

Multi-Objective Optimization of Vortex Generators Positions and Angles in Fin-Tube Compact Heat Exchanger at Low Reynolds Number Using Neural Network and Genetic Algorithm

Get access (open in a dialog) DOI: 10.1615/IHTC15.opt.009018
pages 5955-5972

Abstrakt

Augmentation of heat transfer through various means has been an important research topic for many years. Although many heat transfer enhancement techniques have been proposed over the years, there are few research works that deal with thermal optimization considering vortex generator. This work is related to multi-objective optimization of vortex generators positions and angles in fin-tube compact heat exchanger using neural network and genetic algorithm. Numerical analyses based on finite-volume methodology were performed to analyze heat transfer and pressure drop of fin-tube heat exchanger with two tubes in staggered tube arrangement applying delta winglet-type longitudinal vortex generator with aspect ratio 2. Turbulent flow simulations were performed at Reynolds number 1400 based on fin pitch. Parameters that impact heat exchanger performance such as longitudinal vortex generator position in direction x-y, attack angle and roll angle were analyzed. Four input parameters were considered for each tube. Analysis of dependence and optimization of these input parameters on heat exchanger performance were performed by surrogate model using Neural Network Methodology and optimization applying Genetic Algorithm Method. Commercial software packages were used to compute the 3-D steady viscous turbulent flows with heat transfer and to perform statistical analysis. Colburn factor (j) and friction factor (f) are considered to evaluate heat transfer and pressure loss, respectively. The optimal input parameters set found in the present work produced an enhancement factors that are much higher than previously reported.