Modeling and Pareto based multi-objective optimization of wavy fin-and-elliptical tube heat exchangers using CFD and NSGA-II algorithm
详细信息    查看全文
文摘
Multi objective optimization of wavy fin-and-elliptical tube heat exchangers has been performed. The results obtained from CFD simulations have been used as inputs for the GMDH type artificial neural networks. Four parameters have been chosen as design variables to optimize two objective functions. From among the optimal points, several points with unique features have been introduced and explained.

© 2004-2018 中国地质图书馆版权所有 京ICP备05064691号 京公网安备11010802017129号

地址:北京市海淀区学院路29号 邮编:100083

电话:办公室:(+86 10)66554848;文献借阅、咨询服务、科技查新:66554700