基于流型的 R290 水平管内流动沸腾压降实验研究

Translated title of the contribution: Experimental study of flow boiling pressure drop of R290 in a horizontal tube based on flow pattern
  • Hanwen Xue
  • , Feng Nie
  • , Yanxing Zhao
  • , Xueqiang Dong
  • , Hao Guo
  • , Jun Shen
  • , Maoqiong Gong*
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

Propane (R290) is a natural refrigerant with excellent performance, and its two-phase flow pressure drop characteristics play an important role in heat exchanger design and refrigeration system optimization. Its boiling pressure drop characteristics are important for heat exchanger design and performance analysis in refrigeration facilities. Despite that there are studies about the pressure drop of R290, there are few studies on analyzing the pressure drop combined with the flow pattern. There is also a lack of work on the pressure drop of R290 under low mass flux (G<200 kg·m−2·s−1) and low saturation pressure (p<0.5 MPa) conditions. An experimental study on the pressure drop characteristics of R290 in a horizontal tube was conducted with mass fluxes ranging from 70 kg·m−2·s−1 to 190 kg·m−2·s−1, heat fluxes ranging from 10.6 kW·m−2 to 73.0 kW·m−2, saturation pressures ranging from 0.215 MPa to 0.415 MPa, covering the entire vapor quality range. The influence of experimental conditions and the flow pattern on the frictional pressure drop and the acceleration pressure drop have been analyzed. By comparing the existing frictional pressure drop correlations and using Rev/Rel and Froude number Fr to represent the two-phase interaction based on the Friedel model, a new fl ow pattern-based frictional pressure drop correlation for two phases was obtained. The new correlation can predict the pressure drop well with an ARD (average relative deviation) of −0.2%, an AARD (average absolute relative deviation) of 5.2%, and 97.9% of data points within ±30% error bands. Compared with the experimental data in the literature, the average ARD of the 10 groups of data prediction results is 10.0%, the average AARD is 19.3%, and λ30% is 80.3%, which shows that the new model has certain prediction accuracy and applicability.

Translated title of the contributionExperimental study of flow boiling pressure drop of R290 in a horizontal tube based on flow pattern
Original languageChinese (Traditional)
Pages (from-to)4903-4916
Number of pages14
JournalHuagong Xuebao/CIESC Journal
Volume73
Issue number11
DOIs
Publication statusPublished - 5 Nov 2022
Externally publishedYes

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