Mathematical modeling and multi-objective optimization of a mini-channel heat exchanger via genetic algorithm

In the present paper a mathematical model for a mini-channel heat exchanger is proposed. Multi-objective optimization using genetic algorithm is performed in the next step in order to obtain a set of geometrical design parameters, leading to minimum pressure drops and maximum overall heat transfer coefficient. Multiobjective optimization procedure provides a set of optimal solutions, called Pareto front, each of which is a trade-off between the objective functions and can be freely selected by the user according to the specifications of the project. A sensitivity analysis is also carried out to study the effects of different geometrical parameters on the considered functions. The whole system has been modeled based on advanced experimental correlations in MATLAB environment using a modular approach.