3D-CFD simulation and neural network model for the j and f factors of the wavy fin-and-flat tube heat exchangers

AUTOR(ES)

Khoshvaght Aliabadi, M, Gholam Samani, M, Hormozi, F, Haghighi Asl, A

FONTE

Brazilian Journal of Chemical Engineering

DATA DE PUBLICAÇÃO

2011-09

RESUMO

A three dimensional (3D) computational fluid dynamics (CFD) simulation and a neural network model are presented to estimate the behaviors of the Colburn factor (j) and the Fanning friction factor (f) for wavy fin - and - flat tube (WFFT) heat exchangers. Effects of the five geometrical factors of fin pitch, fin height, fin length, fin thickness, and wavy amplitude are investigated over a wide range of Reynolds number (600

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