Mathematical simulation of a vehicle radiator by genetic algorithm method and comparison with experimental data

In many industrial processes, heat exchangers play the important role of the cooling function. the effective heat transfer rate in a specific process strongly depends on the heat exchanger design. the most popular type of heat exchangers commonly used in the automotive industry, is called radiator. in engines, radiators play the important role of the cooling process. the present study is devoted to develop a mathematical model for the simulation of the vehicle radiator by utilizing the genetic algorithm method. beside available experimental/analytical studies for studying the behavior of heat exchangers, an analytical model to predict and simulate their performance is of great worth. in the present study, we are going to use results of experimental data to obtain a general correlation, which can simulate the performance of heat exchangers. in this regard, a program is written to develop a mathematical model applying experimental data as inputs. the model is based on thermodynamic and heat transfer calculations and calculates cooling rate in each time step with deviation of 1.68%.