A general heat transfer correlation for flow condensation in single port mini and macro channels using genetic programming

Hosseini, Seyyed Hossein; Moradkhani, M.A.; Valizadeh, Mohammadreza; Zendehboudi, Alireza; Olazar, Martı́n

doi:10.1016/j.ijrefrig.2020.06.021

Cited by 31 publications

(18 citation statements)

References 58 publications

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“…In our previous works, the GP technique was used for estimating the two-phase FPD in straight channels 41 , heat transfer coefficient in straight tubes 60 , and helically coiled tubes 10 . Additional detailed information about the GP technique was reported in the earlier studies 61 , 62 .…”

Section: Methodsmentioning

confidence: 99%

Robust and universal predictive models for frictional pressure drop during two-phase flow in smooth helically coiled tube heat exchangers

Moradkhani

Hosseini

Mansouri

et al. 2021

Sci Rep

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There is a lack of well-verified models in the literature for the prediction of the frictional pressure drop (FPD) in the helically coiled tubes at different conditions/orientations. In this study, the robust and universal models for estimating two-phase FPD in smooth coiled tubes with different orientations were developed using several intelligent approaches. For this reason, a databank comprising 1267 experimental data samples was collected from 12 independent studies, which covers a broad range of fluids, tube diameters, coil diameters, coil axis inclinations, mass fluxes, saturation temperatures, and vapor qualities. The earlier models for straight and coiled tubes were examined using the collected database, which showed absolute average relative error (AARE) higher than 21%. The most relevant dimensionless groups were used as models’ inputs, and the neural network approach of multilayer perceptron and radial basis functions (RBF) were developed based on the homogenous equilibrium method. Although both intelligent models exhibited excellent accuracy, the RBF model predicted the best results with AARE 4.73% for the testing process. In addition, an explicit FPD model was developed by the genetic programming (GP), which showed the AARE of 14.97% for all data points. Capabilities of the proposed models under different conditions were described and, the sensitivity analyses were performed.

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Section: Methodsmentioning

confidence: 99%

Robust and universal predictive models for frictional pressure drop during two-phase flow in smooth helically coiled tube heat exchangers

Moradkhani

Hosseini

Mansouri

et al. 2021

Sci Rep

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“…The final version is Shah (2022) [10] which differs from that in Shah (2022) [3] only for quality ≥ 0.99. Among other correlations that have agreed with a wide range of test data are Cavallini et al (2006) [11], Dorao and Fernandini (2018) [12], Hosseini et al (2020) [13], and Moradkhani et al (2022) [14]. The aforementioned correlations are intended for both mini and macro channels.…”

Section: Previous Work 21 Condensation Of Saturated Vaporsmentioning

confidence: 81%

“…Webb (1998) [23] argued that heat transfer from the superheated vapor to the condensate film involves mass transfer, which causes bulk convection in the superheated vapor, thus enhancing heat transfer. He modified Equation (13) to take into account this enhancement to the following form.…”

Section: Superheated Vaporsmentioning

confidence: 99%

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An Evaluation of Correlations for Predicting the Heat Transfer Coefficient during the Condensation of Saturated and Superheated Vapors Inside Channels

Shah

2024

Thermo

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Condensation heat transfer is involved in many industrial applications. Therefore, it is important to know the relative accuracy of the available methods for predicting heat transfer. Condensation can occur with saturated as well as superheated vapors. Predictive methods for both conditions were evaluated using a wide range of data. Twelve well-known correlations for the condensation of saturated vapor, including the most recent ones, were compared with data for 51 pure fluids and mixtures from 132 sources in horizontal and vertical channels of many shapes. Channel hydraulic diameters were 0.08–49 mm, the mass flux was 1.1–1400 kg/m2s, and the reduced pressure range was 0.0006–0.949. The fluids included water, CO2, ammonia, hydrocarbons, halocarbon refrigerants, various chemicals, and heat transfer fluids. The best predictive technique was identified. The three most commonly used models for heat transfer during the condensation of superheated vapors were studied. They were first compared with test data using measured saturated condensation and forced convection heat transfer coefficients to select the best model. The selected model was then compared with test data using various correlations for heat transfer coefficients needed in the model. The best correlations to use in the model were identified. The results of this research are presented, as are recommendations for use in design.

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“…They stated that the proposed model can predict well under different conditions when taking several control parameters into accounts, such as mass flux, channel diameter, saturation temperatures, and working fluids. Hosseini et al [100] proposed a new general explicit correlation based on GP to predict the condensation heat transfer coefficient in horizontal mini and macro channels, their model was validated with a dataset consisting of 6521 data samples from 40 different sources that considering several control parameters such as various types of fluids, different cross-sectional geometries, mass fluxes, and saturation temperatures, into account. It was concluded that the proposed generalized correlation could fit the wide range of data points used with an average relative error of 17.82%, which gave better prediction performance compared with the other eight correlations available from the open published literature using the same database.…”

Section: Taguchi Methods (Tm) and Genetic Algorithms (Ga)mentioning

confidence: 99%

Fluid flow and heat transfer in microchannel heat sinks: Modelling review and recent progress

Gao

Yang

et al. 2022

Thermal Science and Engineering Progress

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A general heat transfer correlation for flow condensation in single port mini and macro channels using genetic programming

Cited by 31 publications

References 58 publications

Robust and universal predictive models for frictional pressure drop during two-phase flow in smooth helically coiled tube heat exchangers

Robust and universal predictive models for frictional pressure drop during two-phase flow in smooth helically coiled tube heat exchangers

An Evaluation of Correlations for Predicting the Heat Transfer Coefficient during the Condensation of Saturated and Superheated Vapors Inside Channels

Fluid flow and heat transfer in microchannel heat sinks: Modelling review and recent progress

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