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Information Journal Paper

Title

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

Pages

  118-136

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 aftercooler 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 aftercooler 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.

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  • Cite

    APA: Copy

    Heydari houlasou, Tohid, SHOJAEEFARD, MOHAMMAD HASAN, Qasemian Moqadam, Ali, & Niroobakhsh, Mohammad Mahdi. (2019). Design and Optimization of an Internal Combustion Engine Intercooler based on Genetic Algorithm. JOURNAL OF MECHANICAL ENGINEERING (ISME) (IRANIAN JOURNAL OF MECHANICAL ENGINEERING-ENGLISH), 20(4 ), 118-136. SID. https://sid.ir/paper/83530/en

    Vancouver: Copy

    Heydari houlasou Tohid, SHOJAEEFARD MOHAMMAD HASAN, Qasemian Moqadam Ali, Niroobakhsh Mohammad Mahdi. Design and Optimization of an Internal Combustion Engine Intercooler based on Genetic Algorithm. JOURNAL OF MECHANICAL ENGINEERING (ISME) (IRANIAN JOURNAL OF MECHANICAL ENGINEERING-ENGLISH)[Internet]. 2019;20(4 ):118-136. Available from: https://sid.ir/paper/83530/en

    IEEE: Copy

    Tohid Heydari houlasou, MOHAMMAD HASAN SHOJAEEFARD, Ali Qasemian Moqadam, and Mohammad Mahdi Niroobakhsh, “Design and Optimization of an Internal Combustion Engine Intercooler based on Genetic Algorithm,” JOURNAL OF MECHANICAL ENGINEERING (ISME) (IRANIAN JOURNAL OF MECHANICAL ENGINEERING-ENGLISH), vol. 20, no. 4 , pp. 118–136, 2019, [Online]. Available: https://sid.ir/paper/83530/en

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