...Munku Kang; Beomjin Kwon We present the deep learning model for internal forced convection heat transfer problems. Conditional generative adversarial networks (cGAN) are trained to predict the solution based on a graphical input describing fluid channel geometries and initial flow conditions...

... temperature gradients. acoustic streaming Stokes layer forced convection heat transfer heat transfer enhancement heat transfer reduction 14 07 2019 14 10 2019 09 12 2019 e-mail:  beni@cukurel.org The potential application of this framework in a typical high Reynolds...

... used to develop a 1D numerical model as well as a semi-empirical correlation to predict forced convection heat transfer to turbulent flow of supercritical water. In the numerical model, radial variations of heat flux and shear stress are taken into account. Modifications to turbulent Prandtl number...

... boundary layer turbulence flow simulation forced convection temperature turbulent boundary layer similarity analysis forced convection heat transfer temperature scaling Heat transfer in turbulent boundary layers has attracted many researchers due to its various applications in industry...

... on a Uniformly Heated Cylinder ,” Int. J. Heat Mass Transfer 0017-9310 , 7 , pp. 143 – 158 . Chang , B. H. , and Mills , A. F. , 2004 , “ Effect of Aspect Ratio on Forced Convection Heat Transfer From Cylinders ,” Int. J. Heat Mass Transfer 0017-9310 , 47 , pp. 1289 – 1296...