ABSTRACT
Numerical optimization of a dimpled channel has been carried out to enhance the turbulent heat transfer. The response surface-based optimization is used as an optimization technique with three-dimensional Reynolds-averaged Navier–Stokes analysis. Computational results for heat transfer rate show good agreement with the experimental data. The objective function is defined as a linear combination of heat transfer- and friction loss-related terms with a weighting factor. Twenty-seven training points obtained by full factorial designs for three design variables construct a reliable response surface. In the sensitivity analysis, it is found that the objective function is most sensitive to the ratio of dimple depth to dimple print diameter. Optimal values of the design variables have been obtained in a range of the weighting factor.
This work was supported by an INHA University Research Grant.