Data for: Multi-objective heat transfer optimization of 2D helical microfins using NSGA-II

Published: 19 December 2018| Version 1 | DOI: 10.17632/hdzwfgftw3.1
Garrett Mann,
Steven Eckels


This is a Pareto archive from 10 generations of an NSGA-II algorithm seeking to minimize friction factor and maximize heat transfer for a micro-fin tube. The design parameters are fin height, helix angle, and number of starts. The flow rate and Reynolds number is held constant. The archive consists of 80 non-dominated individuals with geometry and corresponding friction factor and heat transfer.