چكيده به لاتين
Increasing volumetric efficiency in internal combustion engines has always been one of the goals of engine designers. The use of turbocharged systems has been one of the most commonly methods to achieve this goal. In these systems, compact heat exchanger called intercooler are used to reduce the air temperature and increase its density. This thesis is aimed at finding the best geometry for intercooler variables to make the lowest pressure drop and the highest heat transfer for the air passing through the heat exchanger, while at the same time making the least possible weight.
For this purpose, a bar and plate heat exchanger was considered, and after extracting all the geometric, flow and thermal equations for it, a objective function was defined for the purpose of achieving these purposes. Then, using the method of genetic algorithm and applying design variables, the best design values for variables were found to reach the maximum value of the objective function. The intercooler used in this study has nine design variables. In this study, two case study with six and nine design variables were obtained. All calculations are done analytically using coding in MATLAB software.
The results of this study showed that designed intercooler, while having a good weight and a very low pressure drop, would have significant reduction in air. Also, using all design variables had a better result for the objective function.
