Water-based nano-PCM emulsion flow and heat transfer in divergent mini-channel heat sink—An experimental investigation

C. J. Ho, Shao Teng Hsu, Saman Rashidi, Wei Mon Yan

研究成果: Article同行評審

3 引文 斯高帕斯(Scopus)

摘要

In this work, an experimental investigation is performed to study the water-based nano-PCM emulsion flow and heat transfer in the divergent mini-channel heat sinks (MCHSs). The divergent rectangular MCHS is selected in this study as it provides a higher heat transfer along with smaller value of pressure drop as compared with the parallel one. The water-based microencapsulated n-eicosane PCM suspension is considered as the coolant. Indeed, the particles of microencapsulated n-eicosane PCM are suspended in the water. The diameter of these particles is 130 nm. The divergent angle of 2.06° is used for fabricating the divergent mini-channels. The influences of various parameters such as the Reynolds number, the heat flux, and the concentration of nano-PCM particles on the thermal resistances, the figure of merit (FOM), the friction factor, coefficient of performance (COP), and the heat transfer effectiveness are investigated. The findings of this study indicate that the mean and maximum thermal resistances decrease about 0.5% and 4.92%, respectively by increasing the input heat flux from 40.38 W to 60.08 W at Re = 100 for the case of base fluid. The maximum FOM value is equal to 1.02 that can be achieved at ωPCM = 2%, Re = 305, and qh=4.79W/cm2. Using the nano-PCM emulsion with a large concentration increases considerably the pressure drop penalty and provides a poor FOM index. The mean heat transfer effectiveness is higher than unity for smaller values of the Reynolds number. However, the mean heat transfer effectiveness diminishes for larger values of the Reynolds number.

原文English
文章編號119086
期刊International Journal of Heat and Mass Transfer
148
DOIs
出版狀態Published - 2020 二月

All Science Journal Classification (ASJC) codes

  • Condensed Matter Physics
  • Mechanical Engineering
  • Fluid Flow and Transfer Processes

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