Mahmood Chahartaghi - Department of Mechanical Engineering, Shahrood University of Technology, Shahrood,Iran.
Sayed Ehsan Alavi - Department of Mechanical Engineering, Shahrood University of Technology, Shahrood,Iran.

Improving heat transfer and performance in a radial, finned, shell and tube heat exchanger is studied in this study. According to the second law of thermodynamics, the most irreversibilities of convective heat transfer processes are due to fluid friction and heat transfer via finite temperature difference. Entransy dissipations are due to the irreversibilities of convective heat transfer. Therefore, the number of entrancy dissipation is considered as the optimization objective. Thirteen optimization variables are considered, such as the number of tubes, tube diameter, tube length, fin height, fin thickness, the number of fins per inch length of tube and baffle spacing ratio. The Delaware modified technique is used to determine heat transfer coefficients and the shell-side pressure drop. In this technique, the baffle cut is 20 percent. The results show that using genetic algorithm the optimization can be improve the heat transfer by 13 percent and performance of heat exchanger increased by 18 percent. In order to show the accuracy of the algorithm the results compared to the particle swarm optimization.

Entransy dissipation, Genetic Algorithm, Optimization, Shell and tube heat exchanger