Experimental investigation of the heat transfer coefficient and pressure drop of R1234yf during flow condensation in helically coiled tubes

Zakeralhoseini, Sajjad; Sajadi, Behrang; Behabadi, Mohammad Ali Akhavan; Azarhazin, Soorena; Fazelnia, Hamidreza

doi:10.1016/j.ijthermalsci.2020.106516

Cited by 22 publications

(14 citation statements)

References 37 publications

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“…Noteworthy that the models of Ferraris and Marcel 52 and Santini et al 29 have been obtained for FPD in steam generators, which causes a high deviation for analyzed dataset. On the other hand, although the correlations proposed by Wongwises and Polsongkram 48 , Zakeralhoseini et al 50 , Solanki and Kumar 67 , Xiao et al 30 , Gupta et al 49 and Zhao et al 28 show a good agreement with their own respective data, they exhibit a large deviation with the measured two-phase FPD for the other data sources due to substantial differences between working fluids and operating parameters. Their total AARE values are, respectively, 31.81%, 37.75%, 37.80%, 40.02, 43.44% and 48.93%.…”

Section: Resultsmentioning

confidence: 76%

“…It is interesting to note that these two models were developed based on data for vertical orientation that explains their accuracy for predicting the two-phase FPD in the vertical orientation. The Zakeralhoseini et al 50 model also provides acceptable results for inclined tubes. However, in other cases, it still shows large deviations.…”

Section: Resultsmentioning

confidence: 96%

“…Comparisons of predictions of GP correlation (Eq. ( 20 )) and RBF model with the corresponding experimental values 50 .

Figure 10 Effect coil to tube diameter ratio on the variation of two-phase FPD versus vapor quality.…”

Section: Resultsmentioning

confidence: 99%

“…Comparisons of predictions of GP correlation (Eq. ( 20 )) and RBF model with the corresponding experimental values 50 .…”

Section: Resultsmentioning

confidence: 99%

“…The same method was used by Zakeralhoseini et al 50 and Solanki and Kumar 24 for fitting the R1234yf and R600a experimental data, respectively.…”

Section: Introductionmentioning

confidence: 99%

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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.

show abstract

Section: Resultsmentioning

confidence: 76%

Section: Resultsmentioning

confidence: 96%

“…Comparisons of predictions of GP correlation (Eq. ( 20 )) and RBF model with the corresponding experimental values 50 .

Figure 10 Effect coil to tube diameter ratio on the variation of two-phase FPD versus vapor quality.…”

Section: Resultsmentioning

confidence: 99%

“…Comparisons of predictions of GP correlation (Eq. ( 20 )) and RBF model with the corresponding experimental values 50 .…”

Section: Resultsmentioning

confidence: 99%

“…The same method was used by Zakeralhoseini et al 50 and Solanki and Kumar 24 for fitting the R1234yf and R600a experimental data, respectively.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

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

View full text Add to dashboard Cite

show abstract

Condensation heat transfer of R1234ze(E)/R152a in horizontal tube and development of correlation

Dai

Qiu

et al. 2022

J Braz. Soc. Mech. Sci. Eng.

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Experimental investigation of the heat transfer from the helical coil heat exchanger using bubble injection for cold thermal energy storage system

Zarei

Seddighi

Elahi

2022

Applied Thermal Engineering

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Experimental investigation of the heat transfer coefficient and pressure drop of R1234yf during flow condensation in helically coiled tubes

Cited by 22 publications

References 37 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

Condensation heat transfer of R1234ze(E)/R152a in horizontal tube and development of correlation

Experimental investigation of the heat transfer from the helical coil heat exchanger using bubble injection for cold thermal energy storage system

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