4.6 Article

Impact of inlet subcooling on flow boiling in microchannels

Journal

EXPERIMENTAL THERMAL AND FLUID SCIENCE
Volume 142, Issue -, Pages -

Publisher

ELSEVIER SCIENCE INC
DOI: 10.1016/j.expthermflusei.2022.110805

Keywords

Silicon microchannels; Flow boiling; Inlet subcooling; Critical heat flux; Flow instability

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Inlet subcooling plays a crucial role in flow boiling heat transfer in microchannels. Higher subcooling degrees lead to boiling hysteresis and greater heat required for bubble nucleation, while lower subcooling degrees mitigate flow reversal and enhance flow boiling stability.
Inlet subcooling is of paramount importance for the flow boiling heat transfer in microchannels. This work carries out the experimental investigation of the impact of inlet subcooling on the deionized water flow boiling in silicon microchannels (H = 200 mu m, W = 80 mu m, L = 10 mm). Experiments are conducted with inlet subcooling degrees of 70, 40 and 20 K, mass fluxes of 446-963 kg/m(2).s and base heat fluxes of 17.5-407.2 W/cm(2). It is found that the boiling hysteresis with explosive boiling occurs in the boiling inception at a high subcooling degree of 70 K, and boiling hysteresis gradually gets gentle as inlet subcooling decreases, which has not been reported in the previous works. At a higher subcooling degree, more heat is required for the bubble nucleation but higher critical heat flux (CHF) can be achieved. Further, as inlet subcooling decreases, the flow reversal is well mitigated and thus the flow boiling becomes more stable. Based on the above observations, we put forward a new dimensionless number called the boiling utilization to evaluate the flow boiling characteristics at different inlet subcooling conditions. It is found that a larger degree of subcooling results in a smaller boiling utilization; and the copper-based microchannel has a higher boiling utilization than that of the silicon-based microchannel. A new CHF correlation considering the influence of inlet subcooling is proposed, which shows good agreement with experiments, and the mean absolute error between the experimental values and predicted values by the proposed correlation is 7.3 %.

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