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  • 标题:Numerical and experimental study on optimization of CPU system cooled by nanofluids
  • 本地全文:下载
  • 作者:Tiantian Chen ; Cong Qi ; Jinghua Tang
  • 期刊名称:Case Studies in Thermal Engineering
  • 印刷版ISSN:2214-157X
  • 电子版ISSN:2214-157X
  • 出版年度:2021
  • 卷号:24
  • 页码:100848
  • DOI:10.1016/j.csite.2021.100848
  • 出版社:Elsevier B.V.
  • 摘要:To improve CPU cooling performance, TiO 2 -water nanofluids with volume concentration 9% were used as the cooling mediumin. Nanofluids inlet and outlet positions play a crucial influence on the cooling performance, to further optimize the cooling property, the influence of nanofluids inlet and outlet positions (top and two side) on CPU cooling performance was numerically and experimentally studied by a two-phase lattice Boltzmann model and an experimental method respectively. The numerical simulation outcomes fit well with the experimental outcomes. Outcomes indicated that nanofluids can effectively reduce the average temperature of CPU by 4.54 °C at best in comparison with water under the identical operating conditions. CPU with inlet and outlet at top can reduce the average temperature by 8.49 °C at most compared with that at both two sides, and CPU temperature distribution is more uniform when inlet and outlet locate at top of CPU. Inlet and outlet at top are more suitable for CPU cooling. The results provide some guidance for the design of CPU cooling experiment system.
  • 关键词:Nanofluids ; CPU ; Cooling performance ; Experimental study ; Lattice Boltzmann model
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