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International Journal of Applied Research
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ISSN Print: 2394-7500, ISSN Online: 2394-5869, CODEN: IJARPF

g-index: 90

Vol. 1, Issue 1, Part A (2014)

Optimization the refrigeration cycles using genetic algorithm

Optimization the refrigeration cycles using genetic algorithm

Author(s)
Amir Vosough, Shahab Shahidi, Ashcan Marahel, Fatemeh Hesami
Abstract
In this study, a refrigeration cycle with one and two intercoolers is thermodynamically examined. This work attempts to substitute the effect of environmentally harmful agents in nature such as R134a with environment-friendly fluids in nature: R152a, R404a and R744 examine the effect of this substitution on the performance of the cycle and compare it to the previous working fluids and finally, the best refrigerant considering properties and performance is selected. The consequence shows the highest irreversibility is related to the throttle valve and then the compressors.
Pages: 09-12  |  1418 Views  159 Downloads


International Journal of Applied Research
How to cite this article:
Amir Vosough, Shahab Shahidi, Ashcan Marahel, Fatemeh Hesami. Optimization the refrigeration cycles using genetic algorithm. Int J Appl Res 2014;1(1):09-12.
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