Frosting modeling on a cold flat plate: Comparison of the different assumptions and impacts on frost growth predictions

Brèque, Florent; Nemer, Maroun

doi:10.1016/j.ijrefrig.2016.06.010

Cited by 56 publications

(8 citation statements)

References 45 publications

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“…Frost effective conductivity: Among the large amount of correlations suggested in the literature (a detailed list can be found in [30,31]), the three thermal conductivity correlations proposed by Lee et al [32], Na and Webb [6] and Negrelli et al [30] are hereby tested. These are chosen due to being both some of the most widely (see [31]), and also most recently used.…”

Section: Frost Densitymentioning

confidence: 99%

A finite volume method to solve the frost growth using dynamic meshes

Bartrons

Oliet

Gutiérrez

et al. 2018

International Journal of Heat and Mass Transfer

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Section: Frost Densitymentioning

confidence: 99%

A finite volume method to solve the frost growth using dynamic meshes

Bartrons

Oliet

Gutiérrez

et al. 2018

International Journal of Heat and Mass Transfer

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“…Heat transfer surface area of one circsuit, m 2 33,9 Fin pitch, mm 10 Fin thickness, mm 0,5 (Al) Longitude and transparent tube spacing, mm 50 Tube diameter and wall thickness, mm 15,5х0,5 (Cu) Number of rows in height and depth of the circuit (whole apparatus) 14x7 (14x14) Table 1. Technical characteristics of the air cooler According to the calculation results, the measurement error of the volumetric air flow in the experiments did not exceed 8%, the cooling capacity and the heat transfer coefficient measurement error did not exceed 12% and the frost layer thickness measurement error did not exceed ± 0.25 mm.…”

Section: Methodsmentioning

confidence: 99%

“…With a decrease in the pitch of the fins, a thicker and denser frost layer is formed. An analysis of the accuracy of numerical models of frost layer growth performed in (Breque, 2016) shows that simple semi-empirical models demonstrate good accuracy when using empirical correlations in the permissible temperature range, and complication of models (for example, taking into account the variation of a frost density over the layer) in some cases leads to a decrease in the accuracy of calculations. Many of the existing models for calculating the frost layer growth dynamics cannot be used at low air temperatures.…”

Section: Introductionmentioning

confidence: 99%

A mathematical modelling of frost growth dynamics on a surface of fin-and-tube air cooler

2020

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A mathematical model was developed to predict the performance characteristics of fin-and-tube air coolers with plane fins, taking into account the temperature and humidity conditions, non-uniform thickness of the frost layer along the heat exchanger core, flow-pressure characteristics of the fans and the refrigerant superheat zone. The model was verified on the experimental data of air cooler performance in frosting conditions obtained by the authors in air temperature range from minus 6 to minus 20 ° C, and experimental data from independent researchers. The presented model predicts the cooling capacity and the overall heat transfer coefficient in the evaporator with error not exceeded 15%. It was found that during dry operating conditions of the air cooler, the refrigerant boiling temperature descent by 10 °C leads to a decrease in the overall heat transfer coefficient by 35%. The main reason of that is double decrease of the refrigerant mass velocity and the refrigerant-side heat transfer coefficient by 75%. The process of frost grow leads to an increase in overall thermal resistance in the studied air cooler by 30%, more than double increase in the aerodynamic resistance and decrease in cooling capacity by 15%.

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“…They determined the density based on the mass conservation principle and calculated the effective thermal conductivity by using the finite-volume method. Brèque and Nemer [21] presented equations for frost models and the main different hypotheses and compared the different hypotheses with experimental data. Benítez and Sherif [22] used the orthogonal collocation method to solve the equations that describe the frost formation process when a cold flat plate is exposed to a humid air stream.…”

Section: Introductionmentioning

confidence: 99%

Study on The Effect of Different Plenum Chamber Coefficients on Frosting of Air-cooler

et al. 2021

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The performance of the air-cooler in the refrigeration system plays a key role in improving the energy efficiency. Here, the plenum chamber coefficient was defined to study a possible way of enhancing the refrigeration system performance. In order to investigate the influence of the plenum chamber coefficient on the frosting and the cooling system of the chillers, three plenum chamber coefficients (0.74,0.97,1.2) were studied under high humidity. The temperature decreasing curve of the environmental chamber, the velocity distribution of the air cooler, and the frost accumulation under and on the air-cooler were analysed. The results show that the frost accumulation on the tube will increase with the increase of the plenum chamber coefficient and the frost accumulation on the fin will increase at first and then decrease with the increase of the plenum chamber coefficient. On the whole, in this study, frosting is the most obvious when the plenum chamber coefficient was 0.97

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Frosting modeling on a cold flat plate: Comparison of the different assumptions and impacts on frost growth predictions

Cited by 56 publications

References 45 publications

A finite volume method to solve the frost growth using dynamic meshes

A finite volume method to solve the frost growth using dynamic meshes

A mathematical modelling of frost growth dynamics on a surface of fin-and-tube air cooler

Study on The Effect of Different Plenum Chamber Coefficients on Frosting of Air-cooler

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