Analysis on the refrigerant (R32) flow maldistribution of microchannel heat exchanger under superheat and sub-cool
The aim of this research is to study the impact of statistical moments of probability density function such as mean, standard deviation, skew of R32 flow maldistribution profile on the thermal performance of microchannel heat exchanger under superheat, and subcooling effect. A mathematical model was...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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The Universiti Malaysia Pahang Publishing
2020
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| Online Access: | http://psasir.upm.edu.my/id/eprint/87872/1/ABSTRACT.pdf |
| _version_ | 1796981899818696704 |
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| author | Chng, Ming Hui W. M., Chin Tang, Sai Hong |
| author_facet | Chng, Ming Hui W. M., Chin Tang, Sai Hong |
| author_sort | Chng, Ming Hui |
| collection | UPM |
| description | The aim of this research is to study the impact of statistical moments of probability density function such as mean, standard deviation, skew of R32 flow maldistribution profile on the thermal performance of microchannel heat exchanger under superheat, and subcooling effect. A mathematical model was developed in order to analyse the influence of the statistical moments of probability density function of R32 flow maldistribution on the thermal performance of microchannel heat exchanger under superheat and sub-cooling effect. It was found that the high standard deviation and high negative skew of R32 flow maldistribution profile gave a large impact on the D of microchannel heat exchanger and can achieve up to 10%. Moreover, it was found that the heat transfer performance of
microchannel heat exchanger dropped significantly when the sub-cool increases. In short, low standard deviation, high positive skew, and superheat of a flow maldistribution profile is preferred in order to minimize the performance deterioration effect. An experiment was set up to verify the mathematical model. The results from the
mathematical model agreed well within 10% of the experimental data. A performance deterioration correlation related to refrigerant maldistribution under superheat and subcool was developed to provide a faster solution to design an even flow distribution heat
exchanger. The proposed correlation in this research offers a quicker and simpler way to study the R32 flow maldistribution problem. |
| first_indexed | 2024-03-06T10:44:24Z |
| format | Article |
| id | upm.eprints-87872 |
| institution | Universiti Putra Malaysia |
| language | English |
| last_indexed | 2024-03-06T10:44:24Z |
| publishDate | 2020 |
| publisher | The Universiti Malaysia Pahang Publishing |
| record_format | dspace |
| spelling | upm.eprints-878722022-06-01T00:53:59Z http://psasir.upm.edu.my/id/eprint/87872/ Analysis on the refrigerant (R32) flow maldistribution of microchannel heat exchanger under superheat and sub-cool Chng, Ming Hui W. M., Chin Tang, Sai Hong The aim of this research is to study the impact of statistical moments of probability density function such as mean, standard deviation, skew of R32 flow maldistribution profile on the thermal performance of microchannel heat exchanger under superheat, and subcooling effect. A mathematical model was developed in order to analyse the influence of the statistical moments of probability density function of R32 flow maldistribution on the thermal performance of microchannel heat exchanger under superheat and sub-cooling effect. It was found that the high standard deviation and high negative skew of R32 flow maldistribution profile gave a large impact on the D of microchannel heat exchanger and can achieve up to 10%. Moreover, it was found that the heat transfer performance of microchannel heat exchanger dropped significantly when the sub-cool increases. In short, low standard deviation, high positive skew, and superheat of a flow maldistribution profile is preferred in order to minimize the performance deterioration effect. An experiment was set up to verify the mathematical model. The results from the mathematical model agreed well within 10% of the experimental data. A performance deterioration correlation related to refrigerant maldistribution under superheat and subcool was developed to provide a faster solution to design an even flow distribution heat exchanger. The proposed correlation in this research offers a quicker and simpler way to study the R32 flow maldistribution problem. The Universiti Malaysia Pahang Publishing 2020 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/87872/1/ABSTRACT.pdf Chng, Ming Hui and W. M., Chin and Tang, Sai Hong (2020) Analysis on the refrigerant (R32) flow maldistribution of microchannel heat exchanger under superheat and sub-cool. International Journal of Automotive and Mechanical Engineering, 14 (2). 4140 - 4157. ISSN 2229-8649; ESSN: 2180-1606 https://journal.ump.edu.my/ijame/vol14i2 10.15282/ijame.14.2.2017.3.0332 |
| spellingShingle | Chng, Ming Hui W. M., Chin Tang, Sai Hong Analysis on the refrigerant (R32) flow maldistribution of microchannel heat exchanger under superheat and sub-cool |
| title | Analysis on the refrigerant (R32) flow maldistribution of microchannel heat exchanger under superheat and sub-cool |
| title_full | Analysis on the refrigerant (R32) flow maldistribution of microchannel heat exchanger under superheat and sub-cool |
| title_fullStr | Analysis on the refrigerant (R32) flow maldistribution of microchannel heat exchanger under superheat and sub-cool |
| title_full_unstemmed | Analysis on the refrigerant (R32) flow maldistribution of microchannel heat exchanger under superheat and sub-cool |
| title_short | Analysis on the refrigerant (R32) flow maldistribution of microchannel heat exchanger under superheat and sub-cool |
| title_sort | analysis on the refrigerant r32 flow maldistribution of microchannel heat exchanger under superheat and sub cool |
| url | http://psasir.upm.edu.my/id/eprint/87872/1/ABSTRACT.pdf |
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