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Article

The Influence of Droplet Distribution Coverage and Additives on the Heat Transfer Characteristics of Spray Cooling under the Influence of Different Parameters

1
College of Urban Construction, Nanjing Tech University, Nanjing 211816, China
2
College of Aerospace Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China
*
Author to whom correspondence should be addressed.
Appl. Sci. 2022, 12(18), 9167; https://doi.org/10.3390/app12189167
Submission received: 18 August 2022 / Revised: 9 September 2022 / Accepted: 10 September 2022 / Published: 13 September 2022
(This article belongs to the Topic Cooling Technologies and Applications)

Abstract

For the objective of enhancing the heat transfer ability of spray cooling, a single-nozzle open-loop spray cooling experiment platform was established with a data measuring system. Based on the surface heat transfer coefficient obtained from the experiment, combined with the visualization system to observe the distribution of droplets during the spray cooling process, the influence of heating power, medium flow rate, nozzle height and typical additives on heating surface coverage and heat transfer characteristics were investigated. The criterion non-dimensional criteria equations for Nu, Re, Pr and size coefficients were fitted and analyzed in comparison with experimental data. The main conclusions are as follows: considering the temperature distribution characteristics of the heating surface and the shape of the spray cone, the heat transfer performance can be optimized by increasing the coverage rate under high heat flux when the flow rate changes, appropriately reducing the coverage rate under low heat flux, and appropriately reducing the coverage rate when the height changes, which creates complete coverage in the droplet concentration area to improve the surface heat transfer capacity. Furthermore, the heat transfer coefficients were improved by 29.3%, 21.8% and 23.8% with different additives (CTAB, ethanol and CTAB–ethanol mixtures) in the working fluid. Each solution had an optimal concentration and heat transfer deterioration was observed at high concentrations. When using non-dimensional criteria equations for parameter calculations, the data are more accurate after considering the effect of dimensional coefficients.
Keywords: spray cooling; visualization system; heat transfer performance; surface coverage; additives spray cooling; visualization system; heat transfer performance; surface coverage; additives

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MDPI and ACS Style

Niu, Q.; Wang, Y.; Kang, N. The Influence of Droplet Distribution Coverage and Additives on the Heat Transfer Characteristics of Spray Cooling under the Influence of Different Parameters. Appl. Sci. 2022, 12, 9167. https://doi.org/10.3390/app12189167

AMA Style

Niu Q, Wang Y, Kang N. The Influence of Droplet Distribution Coverage and Additives on the Heat Transfer Characteristics of Spray Cooling under the Influence of Different Parameters. Applied Sciences. 2022; 12(18):9167. https://doi.org/10.3390/app12189167

Chicago/Turabian Style

Niu, Qian, Yu Wang, and Na Kang. 2022. "The Influence of Droplet Distribution Coverage and Additives on the Heat Transfer Characteristics of Spray Cooling under the Influence of Different Parameters" Applied Sciences 12, no. 18: 9167. https://doi.org/10.3390/app12189167

APA Style

Niu, Q., Wang, Y., & Kang, N. (2022). The Influence of Droplet Distribution Coverage and Additives on the Heat Transfer Characteristics of Spray Cooling under the Influence of Different Parameters. Applied Sciences, 12(18), 9167. https://doi.org/10.3390/app12189167

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