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Comparison of predictive methods for flow boiling heat transfer in conventional channels and minichannels - the effect of reduced pressure

Abstract

In the paper are presented the results of follow on studies from [1]–[3] using authors own model to predict heat transfer coefficient during flow boiling. The model has been tested against a large selection of experimental data collected from various researchers to investigate the sensitivity of the in-house developed model. The collected experimental data came from various studies from literature and were conducted for the full range of quality variation and a wide range of mass velocity and saturation temperatures. In the work are presented the results of calculations obtained using the in-house developed semi empirical model on selected experimental flow boiling data of the refrigerants: R134a, R1234yf, R600a, R290, NH3, CO2, R236fa, R245fa, R152a and HFE7000. In the present study the particular attention was focused on the influence of reduced pressure on the predictions of the theoretical model. The results of calculations were to test the sensitivity of the flow boiling model with respect to selection of the appropriate two-phase flow multiplier, which is one of thedistinctive elements of the in-house model. The main purpose of this paper however is to show the effect of the reduced pressure on the predictions of heat transfer during flow boiling.

Citations

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Keywords

Details

Category:
Conference activity
Type:
materiały konferencyjne indeksowane w Web of Science
Published in:
MATEC Web of Conferences no. 240, pages 1 - 6,
ISSN: 2261-236X
Title of issue:
XI International Conference on Computational Heat, Mass and Momentum Transfer (ICCHMT 2018) strony 1 - 6
Language:
English
Publication year:
2018
Bibliographic description:
Mikielewicz D., Jakubowska B..: Comparison of predictive methods for flow boiling heat transfer in conventional channels and minichannels - the effect of reduced pressure, W: XI International Conference on Computational Heat, Mass and Momentum Transfer (ICCHMT 2018), 2018, ,.
DOI:
Digital Object Identifier (open in new tab) 10.1051/matecconf/201824001028
Verified by:
Gdańsk University of Technology

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