Investigation of the minimized pressure drop of four refrigerants in a small channel with genetic algorithm
Awareness towards the ozone-depleting Chlorofluorocarbons (CFCs) refrigerants has led researchers to investigate alternative refrigerants which are more environmentally friendly. The miniaturization of evaporators and condensers in heat exchangers of the refrigeration and air-conditioning industry h...
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2015
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author | Mohd. Ghazali, Normah Razali, Shazwan Fitri Jamaludin, Hishamuddin |
author_facet | Mohd. Ghazali, Normah Razali, Shazwan Fitri Jamaludin, Hishamuddin |
author_sort | Mohd. Ghazali, Normah |
collection | ePrints |
description | Awareness towards the ozone-depleting Chlorofluorocarbons (CFCs) refrigerants has led researchers to investigate alternative refrigerants which are more environmentally friendly. The miniaturization of evaporators and condensers in heat exchangers of the refrigeration and air-conditioning industry have further challenged the search for new coolants that can fulfill these demands. Of particular concern is the prediction of the pressure drop of the two-phase flow in these heat exchanging devices. This paper presents a preliminary study completed on the minimized frictional pressure drop of four refrigerants at the saturation temperature of 10?C in a horizontal small channel of 1.5 mm diameter; R22, R134A, CO2, and propane. Genetic algorithm (GA) based on a stochastic approach is used to attain the minimization of the frictional pressure drop under the optimized conditions of the vapor quality. The separated model of the Lockhart-Martinelli for two-phase flow is assumed with the laminar-laminar cases investigated using three different versions of the model at three different mass flux conditions. Single-objective optimization with GA has managed to produce the minimized frictional pressure drop for the four refrigerants with CO2 having the lowest frictional pressure drop, almost half that of R22. |
first_indexed | 2024-03-05T19:56:57Z |
format | Conference or Workshop Item |
id | utm.eprints-63527 |
institution | Universiti Teknologi Malaysia - ePrints |
last_indexed | 2024-03-05T19:56:57Z |
publishDate | 2015 |
record_format | dspace |
spelling | utm.eprints-635272017-05-30T07:18:38Z http://eprints.utm.my/63527/ Investigation of the minimized pressure drop of four refrigerants in a small channel with genetic algorithm Mohd. Ghazali, Normah Razali, Shazwan Fitri Jamaludin, Hishamuddin TJ Mechanical engineering and machinery Awareness towards the ozone-depleting Chlorofluorocarbons (CFCs) refrigerants has led researchers to investigate alternative refrigerants which are more environmentally friendly. The miniaturization of evaporators and condensers in heat exchangers of the refrigeration and air-conditioning industry have further challenged the search for new coolants that can fulfill these demands. Of particular concern is the prediction of the pressure drop of the two-phase flow in these heat exchanging devices. This paper presents a preliminary study completed on the minimized frictional pressure drop of four refrigerants at the saturation temperature of 10?C in a horizontal small channel of 1.5 mm diameter; R22, R134A, CO2, and propane. Genetic algorithm (GA) based on a stochastic approach is used to attain the minimization of the frictional pressure drop under the optimized conditions of the vapor quality. The separated model of the Lockhart-Martinelli for two-phase flow is assumed with the laminar-laminar cases investigated using three different versions of the model at three different mass flux conditions. Single-objective optimization with GA has managed to produce the minimized frictional pressure drop for the four refrigerants with CO2 having the lowest frictional pressure drop, almost half that of R22. 2015 Conference or Workshop Item PeerReviewed Mohd. Ghazali, Normah and Razali, Shazwan Fitri and Jamaludin, Hishamuddin (2015) Investigation of the minimized pressure drop of four refrigerants in a small channel with genetic algorithm. In: 14th International Conference on QiR (Quality in Research) 2015, 10-13 August, 2015, Indonesia. https://searchworks.stanford.edu/view/12000101 |
spellingShingle | TJ Mechanical engineering and machinery Mohd. Ghazali, Normah Razali, Shazwan Fitri Jamaludin, Hishamuddin Investigation of the minimized pressure drop of four refrigerants in a small channel with genetic algorithm |
title | Investigation of the minimized pressure drop of four refrigerants in a small channel with genetic algorithm |
title_full | Investigation of the minimized pressure drop of four refrigerants in a small channel with genetic algorithm |
title_fullStr | Investigation of the minimized pressure drop of four refrigerants in a small channel with genetic algorithm |
title_full_unstemmed | Investigation of the minimized pressure drop of four refrigerants in a small channel with genetic algorithm |
title_short | Investigation of the minimized pressure drop of four refrigerants in a small channel with genetic algorithm |
title_sort | investigation of the minimized pressure drop of four refrigerants in a small channel with genetic algorithm |
topic | TJ Mechanical engineering and machinery |
work_keys_str_mv | AT mohdghazalinormah investigationoftheminimizedpressuredropoffourrefrigerantsinasmallchannelwithgeneticalgorithm AT razalishazwanfitri investigationoftheminimizedpressuredropoffourrefrigerantsinasmallchannelwithgeneticalgorithm AT jamaludinhishamuddin investigationoftheminimizedpressuredropoffourrefrigerantsinasmallchannelwithgeneticalgorithm |