Mobile QR Code QR CODE : Korean Journal of Air-Conditioning and Refrigeration Engineering
Korean Journal of Air-Conditioning and Refrigeration Engineering

Korean Journal of Air-Conditioning and Refrigeration Engineering

ISO Journal TitleKorean J. Air-Cond. Refrig. Eng.
  • Open Access, Monthly
Open Access Monthly
  • ISSN : 1229-6422 (Print)
  • ISSN : 2465-7611 (Online)
Online Submission

Journal Search

  1. Home
  2. Archive
  3. 2025-03 (Vol.37 No.03)
  4. 10.6110/KJACR.2025.37.3.119
XML PDF INFO REF

References

1 
Cheng, X. and Schulenberg, T., 2001, Heat Transfer at Supercritical Pressures: Literature Review and Application to an HPLWR, FZKA Karlsruhe, Germany.URL
2 
Lv, J., Fu, M., Qin, N., and Dong, B., 2008, Experimental Study on Heat Transfer Characteristics of Supercritical Carbon Dioxide in Horizontal Tube, Frontiers of Energy and Power Engineering in China, Vol. 2, No. 3, pp. 339-343.DOI
3 
Pitla, S. S., Groll, E. A., and Ramadhyani, S., 2002, New Correlation to Predict the Heat Transfer Coefficient during In-Tube Cooling of Turbulent Supercritical CO2, International Journal of Refrigeration, Vol. 25, No. 7, pp. 887-895.DOI
4 
Gnielinski, V., 1976, New Equation for Heat and Mass Transfer in Turbulent Pipe and Channel Flow, International Chemical Engineering, Vol. 16, pp. 359-368.URL
5 
Krasnoshechekov, E. A., Kuraeva, I. V., and Protopopov, V. S., 1970, Local Heat Transfer of Carbon Dioxide at Supercritical Pressure under Cooling Conditions, Teplofizika Vysokikh Temperatur, Vol. 7, No. 5, pp. 922-930.URL
6 
Baskov, V. L., Kuraeva, I. V., and Protopopov, V. S., 1997, Heat Transfer with the Turbulent Flow of a Liquid at Supercritical Pressure in Tubes under Cooling Conditions, Teplofizika Vysokikh Temperatur, Vol. 15, No. 1, pp. 96-102.URL
7 
Ye, K., Zhang, Y., Yang, L., Zhao, Y., Li, N., and Xie, C., 2019, Modeling Convective Heat Transfer of Supercritical Carbon Dioxide Using an Artificial Neural Network, Applied Thermal Engineering, Vol. 150, pp. 686-695.DOI
8 
Shi, X., Liu, Y., Xue, L., Chen, W., and Chyu, M. K., 2024, Prediction of Supercritical CO2 Heat Transfer Behaviors by Combining Transfer Learning and Deep Learning Based on Multi-Fidelity Data, International Journal of Heat and Mass Transfer, Vol. 218, p. 124802.DOI
9 
Kim, J. M. and Kim, S. C., 2024, An Experimental Study on the Heat Transfer Characteristics of R1336mzz(Z) Through a Horizontal Single Tube in a Supercritical Region, Korean Journal of Air-Conditioning and Refrigeration Engineering, Vol. 36, No. 5, pp. 233-241.DOI
10 
Dittus, F. W. and Boelter, L. M. K., 1985, Heat Transfer in Automobile Radiators of the Tubular Type, International Communications in Heat and Mass Transfer, Vol. 2, No. 1, pp. 3-22.URL
11 
Gnielinski, V., 1976, New Equations for Heat and Mass Transfer in Turbulent Pipe and Channel Flow, International Chemical Engineering, Vol. 16, No. 2, pp. 359-368.URL
12 
Petukhov, B. S., 1970, Heat Transfer and Friction in Turbulent Pipe Flow with Variable Physical Properties, Advances in Heat Transfer, Vol. 6, No. 503, p. i565.DOI
13 
Goodfellow, I., Bengio, Y., and Courville, A., 2016, Deep Learning, MIT Press.URL
14 
Ying, X., 2019, An Overview of Overfitting and Its Solutions, Journal of Physics: Conference Series, No. 1168, p. 022022.DOI