FORECASTING THE INCREASE IN ANOMALOUS INTENSIFICATION OF HEAT EXCHANGE ON A SURFACE WITH AN INCLINED GROOVE USING NUMERICAL OPTIMIZATION METHODS

The article considers the forecasting of the increase in anomalous intensifi cation of heat exchange on a surface with inclined grooves using numerical optimization methods. It was shown previously that anomalous intensifi cation of separated fl ow and of heat exchange in inclined grooves with hemispherical ends is observed during the movement of water- and air-heat-carriers in structured channels. Optimization of the groove shape in plan allows increasing the eff ect of anomalous intensifi cation of heat emission from a heated structured surface. The optimization was carried out using a multi-objective genetic algorithm within the framework of numerical modeling based on the solution of the full Reynolds-averaged Navier–Stokes equations. A teardrop shape of an inclined groove is proposed which allows a signifi cant increase in the intensity of heat exchange near a heated structured surface.
The article considers the forecasting of the increase in anomalous intensifi cation of heat exchange on a surface with inclined grooves using numerical optimization methods. It was shown previously that anomalous intensifi cation of separated fl ow and of heat exchange in inclined grooves with hemispherical ends is observed during the movement of water- and air-heat-carriers in structured channels. Optimization of the groove shape in plan allows increasing the eff ect of anomalous intensifi cation of heat emission from a heated structured surface. The optimization was carried out using a multi-objective genetic algorithm within the framework of numerical modeling based on the solution of the full Reynolds-averaged Navier–Stokes equations. A teardrop shape of an inclined groove is proposed which allows a signifi cant increase in the intensity of heat exchange near a heated structured surface.
Author:  S. A. Isaev, A. E. Usachov, O. A. Sapunov, D. V. Nikushchenko
Keywords:  heat exchange, intensifi cation, numerical modeling, optimization, turbulence
Page:  439