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

Brazilian Journal of Chemical Engineering

M Khoshvaght Aliabadi¹  M Gholam Samani¹  F Hormozi¹  A Haghighi Asl¹ 

[1] ,Semnan University Petroleum and Gas Engineering School of ChemicalSemnan,I. R. Iran

关键词: Wavy fin-and-flat tube;    j factor;    f factor;    CFD simulation;    Neural network;   

DOI  :  10.1590/S0104-66322011000300016

来源: SciELO

【 摘 要 】

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

【 授权许可】

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