2017
DOI: 10.1016/j.applthermaleng.2017.03.130
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A mathematical model for flow maldistribution study in a parallel plate-fin heat exchanger

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Cited by 46 publications
(8 citation statements)
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“…It was also mentioned that headers with porous baffles could effectively improve the two-phase flow distribution and are an essential factor in the design of plate-fin heat exchangers. Moreover, Zang et al [21] and Yang et al [22] reported that it is possible to get a more uniform flow distribution of plate-fin heat exchangers and improve heat exchange performance by improving header shape through CFD analysis.…”
Section: Introductionmentioning
confidence: 99%
“…It was also mentioned that headers with porous baffles could effectively improve the two-phase flow distribution and are an essential factor in the design of plate-fin heat exchangers. Moreover, Zang et al [21] and Yang et al [22] reported that it is possible to get a more uniform flow distribution of plate-fin heat exchangers and improve heat exchange performance by improving header shape through CFD analysis.…”
Section: Introductionmentioning
confidence: 99%
“…However, due to geometry design features or operating conditions, flow maldistribution is a common problem that can significantly reduce the desired heat exchanger performance. Therefore, finding a way to improve flow uniformity in PCHEs, so as to reduce the heat exchanger size, design margins or achieve the desired production rate, is of vital importance [10].…”
Section: Introductionmentioning
confidence: 99%
“…The maldistribution is not examined well enough and there are inconsistencies in reports about reasons, predictions and methods of reduction. Moreover, there are a lot of works that are dealing with a maldistribution phenomenon in parallel minichannels (Dąbrowski et al 2019;García-Cascales et al 2017;Najim & Feddaoui, 2018;Dąbrowski et al 2017;Sakamatapan & Wongwises, 2014;Yang et al 2017;Zhou et al 2014) but few that mentioned about flow non-uniformity and non-uniform temperature field in minigaps (Alam et al 2013;Mathew et al 2019;Tamanna & Lee, 2015).…”
Section: Introductionmentioning
confidence: 99%