Redesign of engine radiator based on number of optimal fans using a genetic algorithm.

In this study, the thermal performance of a sample radiator under defined environmental conditions was studied. The relations governing the heat transfer for the air flow and the cooling fluid of water and ethylene glycol (50% -50%) were written in the radiator and then the characteristics of the radiator were changed and the relations re-examined. It was observed that the thermal performance of a radiator whose length was reduced by 25% but number of fins increased from 385 to 437 was equal to the thermal performance of the original radiator. The ϵ-NTU method was used to investigate this matter. Its optimal value was determined by the designed genetic algorithm 436. In addition, the distance between the two fins was reduced from 3.92 mm to 2.94 mm, the optimal value of which was determined by a genetic algorithm of 2.867 mm. Reducing the length of the radiator makes the radiator lighter and reduces construction costs, but reducing it too much can cause the cooling fans to come closer together and create a problem with heat dissipation.