Performance investigation of a domestic freezer with micro-bare-tube evaporators

Zhou, Wenjie; Bi, Xiangyu; Gan, Zhihua

doi:10.1016/j.applthermaleng.2020.115306

Cited by 5 publications

(3 citation statements)

References 11 publications

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“…The continuity equation ensures the mass balance in the simulation model, which is shown in Equation (4).…”

Section: Cfd Models Of Correlations Developmentmentioning

confidence: 99%

“…Kasagi et al 3 adopted heat transfer and pressure drop datasets of tube bundles to train neural networks to optimize pipe diameter, transverse and longitudinal pipe spacing. Zhou et al 4 tested a modified freezer with a micro‐bare‐tube air‐cooled evaporator. The performance of “I shape” and “N shape” micro‐bare‐tube evaporator was studied by theoretical model and experiment.…”

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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“…The continuity equation ensures the mass balance in the simulation model, which is shown in Equation (4).…”

Section: Cfd Models Of Correlations Developmentmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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

Self Cite

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“…Li et al 5 conducted experiments on microchannel heat exchangers with nitrogen as the medium and proposed experimental correlations for calculating the flow resistance of semicircular cross-section channels. Zhou and colleagues 6,7 also used ε-number of transfer unit (NTU) method to predict the performance of "type I" and "type N" micro-bare tube evaporator and carried out experimental tests on air-cooled freezers with micro-bare-tube evaporator. The results showed that the defrosting problem of refrigerators and freezers could be effectively solved.…”

Section: Introductionmentioning

confidence: 99%

Optimization of heat transfer performance of a micro‐bare‐tube heat exchanger using a genetic algorithm

Li,

Zhou,

Sangani

et al. 2023

Energy Science & Engineering

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This study presents the optimization of the heat transfer coefficient of a micro bare tube heat exchanger. A physical and mathematical model of a micro bare tube heat exchanger was built in Matlab using the simplified ε‐number of transfer unit method. Using a temperature of minus 30°C and a 0.5–1.0 mm tube outer diameter, a 1.7–8.0 mm longitudinal tube pitch, a 1.7–5 mm transverse tube pitch, and a 1.0–5.0 m/s velocity at minimum free flow area, with carbon dioxide as the refrigerant, a comparative variation analysis was performed to optimize the heat transfer coefficient of a micro‐bare‐tube heat exchanger. The results demonstrate that the heat transfer coefficient increases as the inlet air velocity is increased from 1.0 to 5.0 m/s, with a final gain of 93.17%. The growth rate of the heat transfer coefficient steadily decreases with increasing inlet air velocity and gradually approaches zero. The effect of the gradual decrease of the tube outer diameter from 1.0 to 0.5 mm on the heat transfer coefficient is 22.52% greater than that of the gradual decrease of the transverse tube pitch from 2.2 to 1.7 mm. The study also carried out an optimization analysis on the distribution of four different variables in the heat exchanger. With the use of a genetic algorithm, the study found an optimal distribution to maximize the heat transfer coefficient. The following parameter values resulted in the maximum heat transfer coefficient: a maximum inlet air velocity of 5.0 m/s, a minimum tube outer diameter of 0.5 mm, a 1.7 mm longitudinal tube pitch, and a 1.7 mm transverse tube pitch.

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Experimental study of a single-tube multi-fin row of tube evaporator

Peng

Sun

Shi

et al. 2022

Applied Thermal Engineering

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Performance investigation of a domestic freezer with micro-bare-tube evaporators

Cited by 5 publications

References 11 publications

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

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

Optimization of heat transfer performance of a micro‐bare‐tube heat exchanger using a genetic algorithm

Experimental study of a single-tube multi-fin row of tube evaporator

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