Prediction of convection from a finned cylinder in cross flow using direct simulation,turbulence modeling,and correlation-based methods |
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| Authors: | John R Stark Theodore L Bergman |
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| Affiliation: | Department of Mechanical Engineering, The University of Kansas, Lawrence, Kansas, USA |
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| Abstract: | Direct numerical simulation (DNS), two shear-stress transport (SST) turbulence models, and three k-ε models are used to predict mixed convection associated with air in cross flow over an isothermal, finned cylinder. The DNS predictions reveal complex time-variation in the flow field. Convection heat transfer coefficients predicted by the SST models are in good agreement with those generated by DNS, whereas the k-ε models do not accurately predict heat fluxes. Correlation-based predictions of heat transfer coefficients are, in general, in poor agreement with the DNS and SST predictions. The impact of various geometrical modifications on convection coefficients is also presented. |
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