Investigation of Condensation Heat Transfer Correlation of Heat Exchanger Design in Secondary Passive Cooling System

Ju, Yun Jae; Kang, Han-Ok; Lee, Tae‐Ho; Park, Cheon-Tae; Lee, Hee Joon

doi:10.3795/ksme-b.2013.37.12.1069

Cited by 1 publication

(2 citation statements)

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“…The CFD model is applied to determine the thermal and hydraulic performance of the airside of the heat exchanger. The extra thermal resistance and local pressure drop loss are ignored in the simulation design, so the heat transfer coefficient can be easily calculated by using ε-NTU method, as per Equations ( 6)- (9). The accuracy of the subsequent correlation was assessed by comparing it with the calculated results.…”

Section: Cfd Models Of Correlations Developmentmentioning

confidence: 99%

“…The correlation proposed by Zuukauskas et al 8 is also the most commonly used in current research. Lee et al 9 developed a thermal sizing software platform TSCON for condensing heat exchangers to assess condensing heat transfer dependencies. Taler et al 10 combined a nonlinear regression method to determine the correlation coefficient that defines liquid and airside heat transfer.…”

Section: Introductionmentioning

confidence: 99%

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Airside friction and heat transfer performance of micro‐bare‐tube heat exchangers with bundle diameters varying gradually from 1.0 to 0.4 mm

Gong,

Zhou,

Cai

et al. 2023

Energy Science & Engineering

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In this paper, a micro‐bare‐tube heat exchanger structure with the tube bundle diameter varying gradually in the range of 1.0–0.4 mm is proposed. The airside friction and heat transfer performance correlations for this structure are given. This paper applies CFD simulation to develop and verify the correlation of the diameter gradually varied micro‐bare‐tube heat exchangers' performance. Compared with the traditional same diameter micro‐bare‐tube heat exchanger, the new structure not only reduces the pressure drop, but also improves the thermal hydraulic performance. The friction coefficient f is decreased by 8.59%, the pressure drop is reduced by 43.14%, the heat transfer coefficient j is increased by 12.07% compared to the constant diameter micro‐bare‐tube heat exchanger. At the same time, it reduces the void volume by 47.32% and the tube bundle manufacturing material by 28.57%. The proposed airside performance prediction equation can make the error of more than 70% source data within 10%, and the error of more than 90% source data within 20%. It is suggested to apply this empirical equation to 7–29 rows.

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Section: Cfd Models Of Correlations Developmentmentioning

confidence: 99%