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Author:

Qi, Baojin (Qi, Baojin.) | Wang, Ya (Wang, Ya.) | Wei, Jinjia (Wei, Jinjia.) | Zhang, Yonghai (Zhang, Yonghai.) | Yu, Ting (Yu, Ting.)

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Abstract:

Scientifically and accurately predicting the distribution of the bubble sizes on the heating surface is a key step to improve the calculation accuracy of the boiling heat transfer model. In the present study, an ingenious nucleate boiling heat transfer model was developed on the basis of random fractal function of the bubble sizes distribution, and renormalization group theory was introduced to solve this distribution function. Compared to the previous correlations, the distribution function of bubbles for various sizes can be obtained by solving this random fractal distribution function with renormalization group method. Furthermore, the process of increasing the fractal dimension from 1 to 2 was first proposed in this paper to match the whole evolution of the heated liquid from natural convection to nucleate boiling, to transition boiling, and finally to film boiling. Therefore, the present model can reveal the nature of nucleate boiling more comprehensively and deeply. Through comparison, it can be found that the image of bubble distribution obtained from the random fractal model was very similar to the experimental photographs statistically, and the predictions heat transfer were in good agreement with the experimental data when the superheat ΔT is higher than 10 °C, and the deviation is less than 20%. © 2018 Elsevier Ltd

Keyword:

Boiling heat transfer Bubble size Fractal analysis Heat transfer model Nucleate boiling heat transfers Random fractal models Renormalization group methods Renormalization group theory

Author Community:

  • [ 1 ] [Qi, Baojin;Wang, Ya;Wei, Jinjia;Zhang, Yonghai;Yu, Ting]School of Chemical Engineering and Technology, Xi'an Jiaotong University, Xi'an; 710049, China
  • [ 2 ] [Qi, Baojin;Wang, Ya;Yu, Ting]Xi'an Jiaotong University Suzhou Institute, Shuzhou; 215123, China
  • [ 3 ] [Wei, Jinjia]State Key Laboratory of Multiphase Flow in Power Engineering, Xi'an Jiaotong University, Xi'an; 710049, China
  • [ 4 ] [Qi, Baojin; Wang, Ya; Wei, Jinjia; Zhang, Yonghai; Yu, Ting] Xi An Jiao Tong Univ, Sch Chem Engn & Technol, Xian 710049, Peoples R China
  • [ 5 ] [Qi, Baojin; Wang, Ya; Yu, Ting] Xi An Jiao Tong Univ, Suzhou Inst, Suzhou 215123, Peoples R China
  • [ 6 ] [Wei, Jinjia] Xi An Jiao Tong Univ, State Key Lab Multiphase Flow Power Engn, Xian 710049, Peoples R China
  • [ 7 ] [Qi, Baojin]Xi An Jiao Tong Univ, Sch Chem Engn & Technol, Xian 710049, Peoples R China
  • [ 8 ] [Wang, Ya]Xi An Jiao Tong Univ, Sch Chem Engn & Technol, Xian 710049, Peoples R China
  • [ 9 ] [Wei, Jinjia]Xi An Jiao Tong Univ, Sch Chem Engn & Technol, Xian 710049, Peoples R China
  • [ 10 ] [Zhang, Yonghai]Xi An Jiao Tong Univ, Sch Chem Engn & Technol, Xian 710049, Peoples R China
  • [ 11 ] [Yu, Ting]Xi An Jiao Tong Univ, Sch Chem Engn & Technol, Xian 710049, Peoples R China
  • [ 12 ] [Qi, Baojin]Xi An Jiao Tong Univ, Suzhou Inst, Suzhou 215123, Peoples R China
  • [ 13 ] [Wang, Ya]Xi An Jiao Tong Univ, Suzhou Inst, Suzhou 215123, Peoples R China
  • [ 14 ] [Yu, Ting]Xi An Jiao Tong Univ, Suzhou Inst, Suzhou 215123, Peoples R China
  • [ 15 ] [Wei, Jinjia]Xi An Jiao Tong Univ, State Key Lab Multiphase Flow Power Engn, Xian 710049, Peoples R China

Reprint Author's Address:

  • Xi An Jiao Tong Univ, Sch Chem Engn & Technol, Xian 710049, Peoples R China.; Qi, BJ (reprint author), Xi An Jiao Tong Univ, Suzhou Inst, Suzhou 215123, Peoples R China.; Wei, JJ (reprint author), Xi An Jiao Tong Univ, State Key Lab Multiphase Flow Power Engn, Xian 710049, Peoples R China.

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Source :

International Journal of Heat and Mass Transfer

ISSN: 0017-9310

Year: 2019

Volume: 128

Page: 1175-1183

4 . 9 4 7

JCR@2019

5 . 5 8 4

JCR@2020

ESI Discipline: ENGINEERING;

ESI HC Threshold:83

JCR Journal Grade:2

CAS Journal Grade:2

Cited Count:

WoS CC Cited Count: 4

SCOPUS Cited Count: 7

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 1

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