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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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Main Authors: Mohd. Ghazali, Normah, Razali, Shazwan Fitri, Jamaludin, Hishamuddin
Format: Conference or Workshop Item
Published: 2015
Subjects:
TJ Mechanical engineering and machinery
Online Access:http://eprints.utm.my/id/eprint/63527/
https://searchworks.stanford.edu/view/12000101
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spelling my.utm.635272017-05-30T07:18:38Z http://eprints.utm.my/id/eprint/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
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
topic TJ Mechanical engineering and machinery
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
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.
format Conference or Workshop Item
author Mohd. Ghazali, Normah
Razali, Shazwan Fitri
Jamaludin, Hishamuddin
author_facet Mohd. Ghazali, Normah
Razali, Shazwan Fitri
Jamaludin, Hishamuddin
author_sort Mohd. Ghazali, Normah
title 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_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_sort investigation of the minimized pressure drop of four refrigerants in a small channel with genetic algorithm
publishDate 2015
url http://eprints.utm.my/id/eprint/63527/
https://searchworks.stanford.edu/view/12000101
_version_ 1643655739808415744
score 13.211869

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