Evaluating the convective heat transfer of graphene oxide-gold hybrid nanofluid flow in CPU

被引：7

作者：

Mansouri, Reza ^{[1
]}

Pourrajab, Rashid ^{[1
]}

Behbahani, Mohammad ^{[2
]}

Daneh-Dezfuli, Alireza ^{[3
]}

机构：

[1] Shahid Chamran Univ Ahvaz, Dept Mech Engn, Shohadaye Hoveizeh Campus Technol, Susangerd, Dashte Azadegan, Iran

[2] Shahid Chamran Univ Ahvaz, Fac Sci, Dept Chem, Ahvaz, Iran

[3] Shahid Chamran Univ Ahvaz, Fac Engn, Dept Mech Engn, Ahvaz, Iran

来源：

JOURNAL OF THERMAL ANALYSIS AND CALORIMETRY | 2023年 / 148卷 / 12期

关键词：

Hybrid nanofluid; CPU; Gold nanoparticle; Graphene oxide; TRANSFER ENHANCEMENT; THERMAL PERFORMANCE; FLUID-FLOW; FRICTION FACTOR; PRESSURE-DROP; SINK; WATER; IMPROVEMENT; AL2O3-H2O; CHANNEL;

D O I：

10.1007/s10973-023-12064-w

中图分类号：

O414.1 [热力学];

学科分类号：

摘要：

The thermal performance of a novel hybrid nanofluid containing graphene oxide (GO)-gold/water and GO/water nanofluid in cooling a computer's CPU is carried out experimentally. Single-layer graphene oxide is used as working fluid by combining specific amounts of gold nanoparticle suspension with varying concentrations (0.0044-0.0114 mass%) and Reynolds number (676-2185) to optimize the overall device performance. The obtained results revealed that GO/water nanofluid and GO-gold/water hybrid nanofluid reduced the surface temperature of the CPU by 10.6% and 16.2%, respectively, compared with the DI water. Also, the results show that the convective heat transfer coefficient is improved by 36.36% with GO-gold/water hybrid nanofluid (0.0094 mass%) and Re = 2185. In addition, new correlations have been developed for predicting the Nusselt number of GO-gold/water hybrid nanofluid and GO/water nanofluid, based on the experimental data. Overall, the hybrid nanofluid is highly recommended as a preferred cooling in electronic devices.

引用

页码：5765 / 5776

页数：12

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