Open Access
ARTICLE
Experimental and Numerical Analysis of the Influence of Microchannel Size and Structure on Boiling Heat Transfer
Ningbo Guo, Xianming Gao*, Duanling Li, Jixing Zhang, Penghui Yin, Mengyi Hua
School of Mechanical and Electrical Engineering, Shaanxi University of Science and Technology, Xi’an, 710021, China
* Corresponding Author: Xianming Gao. Email:
(This article belongs to this Special Issue: Thermofluid Topology Optimization)
Computer Modeling in Engineering & Sciences 2023, 136(3), 3061-3082. https://doi.org/10.32604/cmes.2023.026657
Received 19 September 2022; Accepted 28 November 2022; Issue published 09 March 2023
Abstract
Computational fluid dynamics was used and a numerical simulation analysis of boiling heat transfer in
microchannels with three depths and three cross-sectional profiles was conducted. The heat transfer coefficient
and bubble generation process of three microchannel structures with a width of 80 μm and a depth of 40, 60, and
80 μm were compared during the boiling process, and the factors influencing bubble generation were studied. A
visual test bench was built, and test substrates of different sizes were prepared using a micro-nano laser. During
the test, the behavior characteristics of the bubbles on the boiling surface and the temperature change of the
heated wall were collected with a high-speed camera and a temperature sensor. It was found that the
microchannel with a depth of 80 μm had the largest heat transfer coefficient and shortest bubble growth period,
the rectangular channel had a larger peak heat transfer coefficient and a lower frequency of bubble occurrence,
while the V-shaped channel had the shortest growth period, i.e., the highest frequency of bubble occurrence, but
its heat transfer coefficient was smaller than that of the rectangular channel.
Keywords
Cite This Article
Guo, N., Gao, X., Li, D., Zhang, J., Yin, P. et al. (2023). Experimental and Numerical Analysis of the Influence of Microchannel Size and Structure on Boiling Heat Transfer.
CMES-Computer Modeling in Engineering & Sciences, 136(3), 3061–3082.