2017
DOI: 10.1016/j.ijrefrig.2016.09.005
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Developing a hybrid procedure of one dimensional finite element method and CFD simulation for modeling refrigerant flow mal-distribution in parallel flow condenser

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Cited by 14 publications
(4 citation statements)
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“…Table 3 Configurations of the genetic algorithms Table 4 Calculation results of the genetic algorithm stability Table 5 Dimensions of the helical microfin tube Table 6 Dimensions of the slit-louvred fin Table 7 Details of the MPFCs-LS Table 8 Accuracies of the instruments used to measure temperature, refrigerant flow rate, pressure and air flow rate Table 9 Comparison of heat transfer capacity of a condenser between experimental data and predictions using empirical correlations Table 10 Comparison of pressure drop of a condenser between experimental data and predictions using empirical correlations The PFMHX capacity reduction resulting from the port-level flow mal-distribution is 3.66%. Shojaeefard et al [17][18] Tube-segment, ε-NTU method PFMC R134a Yes 1, Implement the hybrid method; 2, Study the effects of tube protrusion depth and inlet tube location on the RFMD. Table 9 Comparison of heat transfer capacity of a condenser between experimental data and predictions using empirical correlations Yu & Koyama [48] Cavallini et al [ Table 10 Comparison of pressure drop of a condenser between experimental data and predictions using empirical correlations…”
Section: Data Reduction and Uncertainty Analysismentioning
confidence: 99%
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“…Table 3 Configurations of the genetic algorithms Table 4 Calculation results of the genetic algorithm stability Table 5 Dimensions of the helical microfin tube Table 6 Dimensions of the slit-louvred fin Table 7 Details of the MPFCs-LS Table 8 Accuracies of the instruments used to measure temperature, refrigerant flow rate, pressure and air flow rate Table 9 Comparison of heat transfer capacity of a condenser between experimental data and predictions using empirical correlations Table 10 Comparison of pressure drop of a condenser between experimental data and predictions using empirical correlations The PFMHX capacity reduction resulting from the port-level flow mal-distribution is 3.66%. Shojaeefard et al [17][18] Tube-segment, ε-NTU method PFMC R134a Yes 1, Implement the hybrid method; 2, Study the effects of tube protrusion depth and inlet tube location on the RFMD. Table 9 Comparison of heat transfer capacity of a condenser between experimental data and predictions using empirical correlations Yu & Koyama [48] Cavallini et al [ Table 10 Comparison of pressure drop of a condenser between experimental data and predictions using empirical correlations…”
Section: Data Reduction and Uncertainty Analysismentioning
confidence: 99%
“…With the rapid development of computer and software, numerical simulations have been widely used due to their high efficiency and low cost, especially. Table 1 summarizes the numerical models that have been developed in recent six years for the numerical simulations of air-cooled heat exchangers [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15][16][17][18].…”
Section: Introductionmentioning
confidence: 99%
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“…Nielsen et al [38] also stated that the effective thermal performance of heat exchanger decreased as the standard deviation increased. Shojaeefard et al [39] indicated that flow maldistribution increment (increase of standard deviation from 0.51% to 1.77%) results in about 14% increment in pressure drop and 3.9 % decrement in capacity. The effect is due the larger deviation between the lowest and highest velocities in the flow maldistribution profiles with high standard deviation.…”
Section: Pressure Drop Correlationmentioning
confidence: 99%