Abstract
Torsional flow heat exchanger is a new type of shell-and-tube heat exchanger with high heat transfer efficiency and low flow resistance. In this paper, the holistic model of the torsional flow heat exchanger is established, and the pressure drop, heat transfer coefficient and thermal performance factor in the shell-side are numerically studied. In order to achieve a better heat transfer performance in a torsional flow heat exchanger, the multi-objective structure optimization on the baffle was carried out by using the method of response surface optimization. The results show that the shell-side pressure drop is significantly affected by the angle and width of the baffle; however, for the heat transfer performance, such as the heat transfer coefficient, is mainly attributed to the inclination angle. Three parameters were fitted with the multi-objective genetic algorithm in Ansys, with which the heat transfer performance of the torsional heat exchanger is improved by the value of 15.17%. This study provides a novel method to estimate and optimize the structure of the shell-and-tube heat exchanger.
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