Condensing two-phase pressure drop and heat transfer coefficient of propane in a horizontal multiport mini-channel tube: Experimental measurements

López-Belchí, Alejandro; Illán-Gómez, Fernando; García-Cascales, J.R.; Vera-García, F.

doi:10.1016/j.ijrefrig.2016.03.015

Cited by 30 publications

(10 citation statements)

References 57 publications

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“…Numerous experimental condensation pressure drop investigations in multiport minichannel condensers were reported by researchers [4][5][6][7][8][9][10][11][12][13][14][15][16][17][18][19][20][21] in the past two decades. Most of those investigations were for laminar condensation [4][5][6][7][8][9][10][11][12][13][14][15][16][17][18][19][20][21], while a few reported turbulent condensation [4-13, 15-19, 21] friction pressure drop measurements. Cavallini et al [4] reported friction pressure drop gradients for condensation of R236ea, R134a, and R410A in a 1.4 mm diameter multiport minichannel condenser.…”

Section: Multiport Minichannel Condensersmentioning

confidence: 99%

“…Table 1 summarizes all the compiled condensation data in the laminar and turbulent flow regimes [4][5][6][7][8][9][10][11][12][13][14][15][16][17][18][19][20][21].…”

Section: Multiport Minichannel Condensersmentioning

confidence: 99%

“…The laminar flow (Re LO < 2300) pressure drop data compiled from eighteen sources [4][5][6][7][8][9][10][11][12][13][14][15][16][17][18][19][20][21] were analyzed to develop predictive correlations for estimating the two-phase multiplier / 2…”

Section: Laminar Condensation Pressure Drop: Regression Analysis and ...mentioning

confidence: 99%

“…Meta-analysis was performed on all the compiled studies for condensation pressure drop [4][5][6][7][8][9][10][11][12][13][14][15][16][17][18][19][20][21] in the laminar flow regime in multiport minichannels. The comprehensive meta-analysis (CMA) software developed by Biostat, Inc., was used to perform the analysis.…”

Section: Meta-analysis Of Laminar Condensation Pressure Drop In Multi...mentioning

confidence: 99%

“…Given the weightage (15.92%), the Jige et al [9] study was chosen as the control group, while the remaining studies [4][5][6][7][8][10][11][12][13][14][15][16][17][18][19][20][21] were selected as the study group. Since many variables are affecting the pressure drop during condensation in multiport minichannel condensers, a composite parameter, Χ À1:22 turb, turb d 1:36 h x À1:1 G À0:171 N 0:99 was chosen as the control variable.…”

Section: Meta-analysis Of Laminar Condensation Pressure Drop In Multi...mentioning

confidence: 99%

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A New Two-Phase Multiplier for Flow Pressure Drop in Multiport Minichannel Condensers and Evaporators

Mukkamala

Dirker

2022

Heat Transfer Engineering

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Due to flow maldistribution, the condensation and evaporation flow patterns in multiport minichannels are considerably different from single minichannels or macrochannels. This article compiled the friction pressure drop data from experimental phase-change investigations in multiport minichannel condensers and evaporators over the past two decades. The data was reduced to friction pressure gradients, and a new two-phase multiplier was proposed for estimating the phase-change pressure drop in multiport condensers and evaporators. Thirteen hundred and forty-four condensation pressure drop and six hundred and twentythree evaporation pressure drop data from twenty-nine studies were correlated to yield four predictive two-phase multiplier equations in the laminar and turbulent flow regimes. The predictive correlations fit 67% of the laminar condensation and 80% of the turbulent pressure drop data within ±50%. Further, 57% of the laminar evaporation and 100% of the turbulent evaporation pressure drop data were fit within ±50%. The correlations were compared with widely published correlations and were a significant improvement. Metaanalysis revealed that multiport minichannels are most effective for reducing turbulent flow condensation pressure drop and laminar flow evaporation pressure drop. The compiled data and presented correlations and analysis should be helpful to the process, electronics packaging, aviation, and aerospace industries designing compact, lightweight, and high-efficiency condensers, and evaporators.

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Section: Multiport Minichannel Condensersmentioning

confidence: 99%

“…Table 1 summarizes all the compiled condensation data in the laminar and turbulent flow regimes [4][5][6][7][8][9][10][11][12][13][14][15][16][17][18][19][20][21].…”

Section: Multiport Minichannel Condensersmentioning

confidence: 99%

Section: Laminar Condensation Pressure Drop: Regression Analysis and ...mentioning

confidence: 99%

Section: Meta-analysis Of Laminar Condensation Pressure Drop In Multi...mentioning

confidence: 99%

Section: Meta-analysis Of Laminar Condensation Pressure Drop In Multi...mentioning

confidence: 99%

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A New Two-Phase Multiplier for Flow Pressure Drop in Multiport Minichannel Condensers and Evaporators

Mukkamala

Dirker

2022

Heat Transfer Engineering

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Experimental investigation on the performance improvement of double-slope solar still by different shapes of the channel integration

Thavamani

Kumar

2023

Environ Sci Pollut Res

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Machine learning-based models for frictional pressure drop prediction of condensing and adiabatic flow in micro, mini and macro channels utilizing universal data

Shourehdeli

Mobini

2023

Int. J. Air-Cond. Ref.

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This study proposes a universal machine learning-based model to predict the adiabatic and condensing frictional pressure drop. For developing the proposed model, 11,411 data points of adiabatic and condensing flow inside micro, mini and macro channels are collected from 80 sources. The database consists of 24 working fluids, hydraulic diameters from 0.07 to 18 mm, mass velocities from 6.3 to 2000 Kg/m2s, and reduced pressures from 0.001 to 0.95. Using this database, four machine learning regression models, including “artificial neural network”, “support vector regression”, “gradient boosted regression”, and “random forest regression”, are developed and compared with each other. A wide range of dimensionless parameters as features, “two-phase friction factor” and “Chisholm parameter” are each considered separately as targets. Using search methods, the optimal values of important hyperparameters in each model are determined. The results showed that the “gradient boosted regression” model performs better than other models and predicts the frictional pressure drop with a mean absolute relative deviation of 3.24%. Examining the effectiveness of the new model showed that it predicts data with uniform accuracy over a vast range of variations of each flow parameter.

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Condensing two-phase pressure drop and heat transfer coefficient of propane in a horizontal multiport mini-channel tube: Experimental measurements

Cited by 30 publications

References 57 publications

A New Two-Phase Multiplier for Flow Pressure Drop in Multiport Minichannel Condensers and Evaporators

A New Two-Phase Multiplier for Flow Pressure Drop in Multiport Minichannel Condensers and Evaporators

Experimental investigation on the performance improvement of double-slope solar still by different shapes of the channel integration

Machine learning-based models for frictional pressure drop prediction of condensing and adiabatic flow in micro, mini and macro channels utilizing universal data

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