Published June 2018 | Version v1
Journal article

Complexity evolution quantification of bubble pattern in a gas-liquid mixing system for direct-contact heat transfer

  • 1. Faculty of Metallurgical and Energy Engineering, Kunming University of Science and Technology, Kunming 650093 (China)
  • 2. School of Mathematical and Statistical Sciences, University of Texas Rio Grande Valley, Edinburg, TX 78541 (United States)
  • 3. State Key Laboratory of Complex Nonferrous Metal Resources Clean Utilization, Kunming University of Science and Technology, Kunming 650093 (China)
  • 4. Quality Development Institute, Kunming University of Science and Technology, Kunming 650093 (China)
  • 5. School of Statistics and Mathematics, Yunnan University of Finance and Economics, Kunming 650221 (China)

Description

Highlights: • The pattern complexity of bubble swarms governs heat transfer performance of heat exchanger. • A characteristic extraction technique for quantifying the complexity evolution is developed. • Betti numbers was associated with image entropy, leading to measuring the mixture homogeneity. The pattern complexity (kinetics and uniformity) of bubble swarms governs the heat transfer performance in gas-liquid contact systems such as direct-contact boiling heat transfer process. An image analysis technique is developed for quantifying the complexity evolution of bubble pattern in the gas-liquid contact system based on entropy theory and algebraic topology (more precisely, Betti numbers) using organic Rankine cycle direct-contact heat exchangers. The Betti numbers method is associated with image segmentation using entropy theory, leading to a useful model to characterize the homogeneity of the mixture. Experimental results show such an effectiveness. This novel method may be applied the study of a variety of multiphase flows.

Availability note (English)

Available from http://dx.doi.org/10.1016/j.applthermaleng.2018.04.058

Additional details

Identifiers

DOI
10.1016/j.applthermaleng.2018.04.058;
PII
S1359431117358258;

Publishing Information

Journal Title
Applied Thermal Engineering
Journal Volume
138
Journal Page Range
p. 832-839
ISSN
1359-4311
CODEN
ATENFT

Optional Information

Copyright
Copyright (c) 2018 Elsevier Ltd. All rights reserved.