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NUMERICAL ANALYSES ON THE PREDICTION OF NUSSELT NUMBERS FOR UPWARD AND DOWNWARD FLOWS OF WATER IN A SMOOTH PIPE: EFFECTS OF BUOYANCY AND PROPERTY VARIATIONS

Year 2019, Volume: 5 Issue: 3, 166 - 180, 14.03.2019

Ahmet Selim Dalkılıç

https://doi.org/10.18186/thermal.540367
Cited By: 3

Abstract

This paper includes the Artificial Neural Network (ANN) solution as
one of the numerical analyses to investigate the buoyancy and property
variation effects calculating Nusselt numbers during the upward and downward
flow of water in a smooth pipe. Available data in the literature (Parlatan et
al.) has been used in the analyses to show ANN’s success ratio of
predictability on the measured pipe length’s averaged Nusselt numbers (Nuavg)
and forced convection’s Nusselt numbers (Nuo). Mixed convective flow
conditions were valid for Reynolds numbers ranging from 4000 to 9000 with Bond
numbers smaller than 1.3. Dimensionless values of Reynolds number, Grashof
number, Prandtl number, Bond number, Darcy friction factor, isothermal friction
factor in forced convection, ratio of dynamic viscosities, and a Parlatan et
al.’s friction factor were the inputs while Nuavg and Nuo were
the outputs of ANN analyses. All data was properly separated for test/training/validation processes. The ANNs
performances were determined by way of relative error criteria with the practice
of unknown test sets. As a result of analyses, outputs were predicted within
the deviation of ±5% accurately, new correlations were proposed using the
inputs, and importance of inputs on the outputs were emphasized according to
dependency analyses showing the importance of buoyancy influence (GrT)
and the effects of temperature-dependent viscosity variations under mixed
convection conditions in aiding and opposing transition and turbulent flow of
water in a test tube. 

Keywords

Natural Convection Single Phase Flow Buoyancy and Property Variation Friction Factor Nusselt Number

References

  • [1] Hiroaki, T., Ayao, T., Masaru, H., Nuchi, N. (1973). Effects of buoyancy and of acceleration owing to thermal expansion on forced turbulent convection in vertical circular tubes—criteria of the effects, velocity and temperature profiles, and reverse transition from turbulent to laminar flow. International Journal of Heat and Mass Transfer, 16(6), 1267-1288.
  • [2] Easby, J. P. (1978). The effect of buoyancy on flow and heat transfer for a gas passing down a vertical pipe at low turbulent Reynolds numbers. International Journal of Heat and Mass Transfer, 21(6), 791-801.
  • [3] Saylor, P. E., & Joye, D. D. (1991). Hydrostatic correction and pressure drop measurement in mixed convection heat transfer in a vertical tube. Industrial & Engineering Chemistry Research, 30(4), 784-788.
  • [4] Parlatan, Y., Todreas, N. E., Driscoll, M. J. (1996). Buoyancy and property variation effects in turbulent mixed convection of water in vertical tubes. Journal of heat transfer, 118(2), 381-387.
  • [5] You, J., Yoo, J. Y., Choi, H. (2003). Direct numerical simulation of heated vertical air flows in fully developed turbulent mixed convection. International Journal of Heat and Mass Transfer, 46(9), 1613-1627.
  • [6] Joye, D. D. (2003). Pressure drop correlation for laminar, mixed convection, aiding flow heat transfer in a vertical tube. International journal of heat and fluid flow, 24(2), 260-266.
  • [7] Busedra, A. A., Soliman, H. M. (1999). Analysis of laminar mixed convection in inclined semicircular ducts under buoyancy-assisted and-opposed conditions. Numerical Heat Transfer: Part A: Applications, 36(5), 527-544.
  • [8] Voicu, I., Maré, T., Galanis, N., Miriel, J., Colda, I. (2007). Mixed convection in a vertical double pipe heat exchanger. International Journal of Thermal Sciences, 46(6), 540-550.
  • [9] Kang, G. U., & Chung, B. J. (2012). Influence of the height-to-diameter ratio on turbulent mixed convection in vertical cylinders. Heat and Mass Transfer, 48(7), 1183-1191.
  • [10] Tam, L. M., Ghajar, A. J., & Tam, H. K. (2008). Contribution analysis of dimensionless variables for laminar and turbulent flow convection heat transfer in a horizontal tube using artificial neural network. Heat Transfer Engineering, 29(9), 793-804.
  • [11] Selimefendigil, F., & Öztop, H. F. (2014). Estimation of the mixed convection heat transfer of a rotating cylinder in a vented cavity subjected to nanofluid by using generalized neural networks. Numerical Heat Transfer, Part A: Applications, 65(2), 165-185.
  • [12] Balcilar, M., Dalkilic, A. S., & Wongwises, S. (2011). Artificial neural network techniques for the determination of condensation heat transfer characteristics during downward annular flow of R134a inside a vertical smooth tube. International Communications in Heat and Mass Transfer, 38(1), 75-84.
  • [13] Balcilar, M., Dalkilic, A. S., Suriyawong, A., Yiamsawas, T., & Wongwises, S. (2012). Investigation of pool boiling of nanofluids using artificial neural networks and correlation development techniques. International Communications in Heat and Mass Transfer, 39(3), 424-431.
  • [14] Balcilar, M., Dalkilic, A. S., Agra, O., Atayilmaz, S. O., Wongwises, S. (2012). A correlation development for predicting the pressure drop of various refrigerants during condensation and evaporation in horizontal smooth and micro-fin tubes. International Communications in Heat and Mass Transfer, 39(7), 937-944.
  • [15] Kayaci, N., Balcilar, M., Tabatabaei, M., Celen, A., Yildiz, O., Dalkilic, A. S., Wongwises, S. (2013). Determination of the Single-Phase Forced Convection Heat Transfer Characteristics of TiO2Nanofluids Flowing in Smooth and Micro-Fin Tubes by Means of CFD and ANN Analyses. Current Nanoscience, 9(1), 61-80.
  • [16] Balcilar, M., Aroonrat, K., Dalkilic, A. S., Wongwises, S. (2013). A numerical correlation development study for the determination of Nusselt numbers during boiling and condensation of R134a inside smooth and corrugated tubes. International Communications in Heat and Mass Transfer, 48, 141-148.
  • [17] Balcilar, M., Aroonrat, K., Dalkilic, A. S., Wongwises, S. (2013). A generalized numerical correlation study for the determination of pressure drop during condensation and boiling of R134a inside smooth and corrugated tubes. International Communications in Heat and Mass Transfer, 49, 78-85.
  • [18] Balcilar, M., Dalkilic, A. S., Aroonrat, K.,Wongwises, S. (2014). Neural network based analyses for the determination of evaporation heat transfer characteristics during downward flow of R134a inside a vertical smooth and corrugated tube. Arabian Journal for Science and Engineering, 39(2), 1271-1290.
  • [19] Balcilar, M., Dalkilic, A. S., Sonmez, A. C., Wongwises, S. (2014). Classification of in-tube boiling R134a data belonging to the smooth and corrugated tubes. International Communications in Heat and Mass Transfer, 53, 185-194.

Year 2019, Volume: 5 Issue: 3, 166 - 180, 14.03.2019

Ahmet Selim Dalkılıç

https://doi.org/10.18186/thermal.540367
Cited By: 3

Abstract

References

  • [1] Hiroaki, T., Ayao, T., Masaru, H., Nuchi, N. (1973). Effects of buoyancy and of acceleration owing to thermal expansion on forced turbulent convection in vertical circular tubes—criteria of the effects, velocity and temperature profiles, and reverse transition from turbulent to laminar flow. International Journal of Heat and Mass Transfer, 16(6), 1267-1288.
  • [2] Easby, J. P. (1978). The effect of buoyancy on flow and heat transfer for a gas passing down a vertical pipe at low turbulent Reynolds numbers. International Journal of Heat and Mass Transfer, 21(6), 791-801.
  • [3] Saylor, P. E., & Joye, D. D. (1991). Hydrostatic correction and pressure drop measurement in mixed convection heat transfer in a vertical tube. Industrial & Engineering Chemistry Research, 30(4), 784-788.
  • [4] Parlatan, Y., Todreas, N. E., Driscoll, M. J. (1996). Buoyancy and property variation effects in turbulent mixed convection of water in vertical tubes. Journal of heat transfer, 118(2), 381-387.
  • [5] You, J., Yoo, J. Y., Choi, H. (2003). Direct numerical simulation of heated vertical air flows in fully developed turbulent mixed convection. International Journal of Heat and Mass Transfer, 46(9), 1613-1627.
  • [6] Joye, D. D. (2003). Pressure drop correlation for laminar, mixed convection, aiding flow heat transfer in a vertical tube. International journal of heat and fluid flow, 24(2), 260-266.
  • [7] Busedra, A. A., Soliman, H. M. (1999). Analysis of laminar mixed convection in inclined semicircular ducts under buoyancy-assisted and-opposed conditions. Numerical Heat Transfer: Part A: Applications, 36(5), 527-544.
  • [8] Voicu, I., Maré, T., Galanis, N., Miriel, J., Colda, I. (2007). Mixed convection in a vertical double pipe heat exchanger. International Journal of Thermal Sciences, 46(6), 540-550.
  • [9] Kang, G. U., & Chung, B. J. (2012). Influence of the height-to-diameter ratio on turbulent mixed convection in vertical cylinders. Heat and Mass Transfer, 48(7), 1183-1191.
  • [10] Tam, L. M., Ghajar, A. J., & Tam, H. K. (2008). Contribution analysis of dimensionless variables for laminar and turbulent flow convection heat transfer in a horizontal tube using artificial neural network. Heat Transfer Engineering, 29(9), 793-804.
  • [11] Selimefendigil, F., & Öztop, H. F. (2014). Estimation of the mixed convection heat transfer of a rotating cylinder in a vented cavity subjected to nanofluid by using generalized neural networks. Numerical Heat Transfer, Part A: Applications, 65(2), 165-185.
  • [12] Balcilar, M., Dalkilic, A. S., & Wongwises, S. (2011). Artificial neural network techniques for the determination of condensation heat transfer characteristics during downward annular flow of R134a inside a vertical smooth tube. International Communications in Heat and Mass Transfer, 38(1), 75-84.
  • [13] Balcilar, M., Dalkilic, A. S., Suriyawong, A., Yiamsawas, T., & Wongwises, S. (2012). Investigation of pool boiling of nanofluids using artificial neural networks and correlation development techniques. International Communications in Heat and Mass Transfer, 39(3), 424-431.
  • [14] Balcilar, M., Dalkilic, A. S., Agra, O., Atayilmaz, S. O., Wongwises, S. (2012). A correlation development for predicting the pressure drop of various refrigerants during condensation and evaporation in horizontal smooth and micro-fin tubes. International Communications in Heat and Mass Transfer, 39(7), 937-944.
  • [15] Kayaci, N., Balcilar, M., Tabatabaei, M., Celen, A., Yildiz, O., Dalkilic, A. S., Wongwises, S. (2013). Determination of the Single-Phase Forced Convection Heat Transfer Characteristics of TiO2Nanofluids Flowing in Smooth and Micro-Fin Tubes by Means of CFD and ANN Analyses. Current Nanoscience, 9(1), 61-80.
  • [16] Balcilar, M., Aroonrat, K., Dalkilic, A. S., Wongwises, S. (2013). A numerical correlation development study for the determination of Nusselt numbers during boiling and condensation of R134a inside smooth and corrugated tubes. International Communications in Heat and Mass Transfer, 48, 141-148.
  • [17] Balcilar, M., Aroonrat, K., Dalkilic, A. S., Wongwises, S. (2013). A generalized numerical correlation study for the determination of pressure drop during condensation and boiling of R134a inside smooth and corrugated tubes. International Communications in Heat and Mass Transfer, 49, 78-85.
  • [18] Balcilar, M., Dalkilic, A. S., Aroonrat, K.,Wongwises, S. (2014). Neural network based analyses for the determination of evaporation heat transfer characteristics during downward flow of R134a inside a vertical smooth and corrugated tube. Arabian Journal for Science and Engineering, 39(2), 1271-1290.
  • [19] Balcilar, M., Dalkilic, A. S., Sonmez, A. C., Wongwises, S. (2014). Classification of in-tube boiling R134a data belonging to the smooth and corrugated tubes. International Communications in Heat and Mass Transfer, 53, 185-194.
There are 19 citations in total.

Details

Primary Language English
Journal Section Articles
Authors

Ahmet Selim Dalkılıç

Publication Date March 14, 2019
Submission Date August 27, 2017
Published in Issue Year 2019 Volume: 5 Issue: 3

Cite

APA Dalkılıç, A. S. (2019). NUMERICAL ANALYSES ON THE PREDICTION OF NUSSELT NUMBERS FOR UPWARD AND DOWNWARD FLOWS OF WATER IN A SMOOTH PIPE: EFFECTS OF BUOYANCY AND PROPERTY VARIATIONS. Journal of Thermal Engineering, 5(3), 166-180. https://doi.org/10.18186/thermal.540367
AMA Dalkılıç AS. NUMERICAL ANALYSES ON THE PREDICTION OF NUSSELT NUMBERS FOR UPWARD AND DOWNWARD FLOWS OF WATER IN A SMOOTH PIPE: EFFECTS OF BUOYANCY AND PROPERTY VARIATIONS. Journal of Thermal Engineering. March 2019;5(3):166-180. doi:10.18186/thermal.540367
Chicago Dalkılıç, Ahmet Selim. “NUMERICAL ANALYSES ON THE PREDICTION OF NUSSELT NUMBERS FOR UPWARD AND DOWNWARD FLOWS OF WATER IN A SMOOTH PIPE: EFFECTS OF BUOYANCY AND PROPERTY VARIATIONS”. Journal of Thermal Engineering 5, no. 3 (March 2019): 166-80. https://doi.org/10.18186/thermal.540367.
EndNote Dalkılıç AS (March 1, 2019) NUMERICAL ANALYSES ON THE PREDICTION OF NUSSELT NUMBERS FOR UPWARD AND DOWNWARD FLOWS OF WATER IN A SMOOTH PIPE: EFFECTS OF BUOYANCY AND PROPERTY VARIATIONS. Journal of Thermal Engineering 5 3 166–180.
IEEE A. S. Dalkılıç, “NUMERICAL ANALYSES ON THE PREDICTION OF NUSSELT NUMBERS FOR UPWARD AND DOWNWARD FLOWS OF WATER IN A SMOOTH PIPE: EFFECTS OF BUOYANCY AND PROPERTY VARIATIONS”, Journal of Thermal Engineering, vol. 5, no. 3, pp. 166–180, 2019, doi: 10.18186/thermal.540367.
ISNAD Dalkılıç, Ahmet Selim. “NUMERICAL ANALYSES ON THE PREDICTION OF NUSSELT NUMBERS FOR UPWARD AND DOWNWARD FLOWS OF WATER IN A SMOOTH PIPE: EFFECTS OF BUOYANCY AND PROPERTY VARIATIONS”. Journal of Thermal Engineering 5/3 (March 2019), 166-180. https://doi.org/10.18186/thermal.540367.
JAMA Dalkılıç AS. NUMERICAL ANALYSES ON THE PREDICTION OF NUSSELT NUMBERS FOR UPWARD AND DOWNWARD FLOWS OF WATER IN A SMOOTH PIPE: EFFECTS OF BUOYANCY AND PROPERTY VARIATIONS. Journal of Thermal Engineering. 2019;5:166–180.
MLA Dalkılıç, Ahmet Selim. “NUMERICAL ANALYSES ON THE PREDICTION OF NUSSELT NUMBERS FOR UPWARD AND DOWNWARD FLOWS OF WATER IN A SMOOTH PIPE: EFFECTS OF BUOYANCY AND PROPERTY VARIATIONS”. Journal of Thermal Engineering, vol. 5, no. 3, 2019, pp. 166-80, doi:10.18186/thermal.540367.
Vancouver Dalkılıç AS. NUMERICAL ANALYSES ON THE PREDICTION OF NUSSELT NUMBERS FOR UPWARD AND DOWNWARD FLOWS OF WATER IN A SMOOTH PIPE: EFFECTS OF BUOYANCY AND PROPERTY VARIATIONS. Journal of Thermal Engineering. 2019;5(3):166-80.

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