The Use of Imperialist Competitive Algorithm for the Optimization of Heat Transfer in an Air Cooler Equipped with Butterfly Inserts

In this paper the use of a novel optimization algorithm based on imperialist competitive algorithm (ICA) for optimizing the heat transfer in an air cooled heat exchanger equipped with the butterfly inserts has been reported. Experiments included the inclined angle of the butterfly inserts ranging from 45 o to 135 o . Also, the Reynolds number varied from 4021 to 16118. After data reduction, the regression equation of average Nusselt number was obtained as a function of Reynolds number and the inclined angle. Then the cost function was optimized by the use of ICA. One can be sure that the Nusselt number will be optimized due to the optimization of the cost function. Computational results indicate that the proposed optimization algorithm is quite effective and powerful in optimizing the cost function. According to the results, in order to obtain maximum heat transfer, the inclined angle must be 87 o . from the air cooler. Also, they showed that by using the butterfly insert with an inclined angle of 90 ◦ , maximum heat transfer is obtained. Also, their results have revealed that the difference between the heat transfer rates obtained by employing the classic and jagged inserts reduces by decreasing twist ratio. The main focus of the present study is to utilize imperialist competitive algorithm (ICA), to obtain the maximum heat transfer from the air cooler equipped with the butterfly inserts. ICA is a new evolutionary algorithm in the evolutionary computation field based on the human's socio-political evolution. The proposed method for the optimization was developed using MATLAB functions. This method has some advantages, such as simplicity, accuracy, and time saving.

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