Iranian Journal of Mechanical Engineering Transactions of ISME

Iranian Journal of Mechanical Engineering Transactions of ISME

Design and Optimization of an Internal Combustion Engine Intercooler based on Genetic Algorithm

Authors
Tohid Heydari
Mohammad hasan Shojaeefard
Ali Qasemian Moqadam
Mohammad Mahdi Niroobakhsh
School of Automotive Engineering, Iran University of Science and Technology
Abstract
Increasing the volumetric efficiency of internal combustion engines has always been one of the goals of the engine designers. Utilizing turbocharged systems is one of the common ways to achieve this aim. In these systems, compact heat exchangers are used to reduce the temperature and increase the density of the air at the outlet of compressor. This article seeks out the best geometric layout for an intercooler to have the lowest pressure drop and the highest temperature decrease of the passing air through the heat exchanger and at the same time leads to the lowest manufacturing cost. To obtain this purpose, a bar and plate heat exchanger is considered and after deriving all the geometric, flow and thermal equations, a comprehensive objective function is defined. Then, using the genetic algorithm method and considering six design variables, the best design values for variables are found to maximize the objective function. All calculations are done analytically and using coding in MATLAB software. The results show that the designed intercooler beside an appropriate weight and a very low pressure drop, reduce the engine inlet air temperature significantly and brings it to an acceptable level to enter the engine.
Keywords
aftercooler
Optimization
turbocharging
Internal Combustion Engine

Subjects

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Iranian Journal of Mechanical Engineering Transactions of ISME
Volume 20, Issue 4 - Serial Number 53
Fluid Mechanics and Heat Transfer
Winter 2019
Pages 118-136

  • Receive Date 04 March 2018
  • Revise Date 04 July 2018
  • Accept Date 12 March 2019