Investigation on the CPU nanofluid cooling

Al-Rashed, Mohsen H.; Dzido, Grzegorz; Korpyś, Mateusz; Smołka, Jacek; Wójcik, J.

doi:10.1016/j.microrel.2016.06.016

Cited by 86 publications

(24 citation statements)

References 29 publications

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“…% = 0.3 and for mass concentrations > 0.3, the heat transfer coefficient decreases. This phenomenon is largely due to the enhancement in viscosity of the nanofluid, instability due to the presence of high-concentration ZnO nanoparticles within the base fluid [27]. Likewise, in order to validate the results, the experimental data were compared to those of results obtained with well-known correlations such as London-Shah [29] and McCabe et al [30], which both have been obtained for water.…”

Section: Thermo-physical Properties Of Nanofluidsmentioning

confidence: 99%

“…Boiling heat transfer limitation [20,21], formation of bubble blanket [22][23][24] and poor thermal conductivity and its low contribution in boiling heat transfer of base fluid [25,26] are examples of these challenges. These challenges not only hinder the commercialization of the nanofluids in cooling systems but also motivate the experts for doing further research on other nanofluids to select the best potential coolant for the convective/boiling cooling cycles [27].…”

Section: Introductionmentioning

confidence: 99%

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Cooling of High Heat Flux Flat Surface with Nanofluid Assisted Convective Loop: Experimental Assessment

Arya

Shahmiry

Nikkhah

et al. 2017

Archive of Mechanical Engineering

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Experimental investigation was conducted on the thermal performance and pressure drop of a convective cooling loop working with ZnO aqueous nanofluids. The loop was used to cool a flat heater connected to an AC autotransformer. Influence of different operating parameters, such as fluid flow rate and mass concentration of nanofluid on surface temperature of heater, pressure drop, friction factor and overall heat transfer coefficient was investigated and briefly discussed. Results of this study showed that, despite a penalty for pressure drop, ZnO/water nanofluid was a promising coolant for cooling the micro-electronic devices and chipsets. It was also found that there is an optimum for concentration of nanofluid so that the heat transfer coefficient is maximum, which was wt. % = 0.3 for ZnO/water used in this research. In addition, presence of nanoparticles enhanced the friction factor and pressure drop as well; however, it is not very significant in comparison with those of registered for the base fluid.

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Section: Thermo-physical Properties Of Nanofluidsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Cooling of High Heat Flux Flat Surface with Nanofluid Assisted Convective Loop: Experimental Assessment

Arya

Shahmiry

Nikkhah

et al. 2017

Archive of Mechanical Engineering

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“…Kandlikar et al [5] observed the transfer of heat and fluid-flow in the mini-channel and micro-channel under the concept of singlephase and plays a vital role to remove large heat dissipation. Al-Rashed et al [6] experimentally and numerically investigated the heat enhancement of the CPU heat sink with water as a coolant in the influence of nanofluids. The influence of CuO distilled water nanofluids on heat dissipation from rectangular and circular cross-sectional shaped heat sinks was studied numerically by Ghasemi et al [7].…”

Section: Introductionmentioning

confidence: 99%

Thermal performance and reliability of procesor investigation using TiO2 and CuO/water nanofluids

Mukesh¹,

Arun²

2020

THERM SCI

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Continuous miniaturization of feature size, faster operation and high-end performance of processor are facing serious problems to dissipate heat. In this numerical work, the surface temperature of the processor, heat transfer rate, power consumption and reliability of channel heat sink for processor handling TiO2-water and CuO-water nanofluids at three-volume fractions as a coolant are studied using CFD software package. The power dissipation of the Intel processor was in the range of 16-135 W. The TiO2-water and CuO-water nanofluids at a volume fraction of 0.3%, 0.6%, and 0.9% was used as a coolant. It is observed that the heat transfer rate of CuO-water nanofluids at 0.3%, 0.6%, and 0.9% are 5%, 7%, and 9%, respectively, higher than that of TiO2-water nanofluid. It is found that the power consumption of the processor reduces by 2%, 3%, and 5% at the volume fraction of 0.3%, 0.6%, and 0.9%, respectively, than TiO2-water nanofluids as coolant. The failure rate of the processor using CuO-water nanofluid was found to be 17%, 10%, and 8% lesser than the TiO2-water nanofluids at the three-volume fractions, respectively.

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“…Nanofluids are the colloids that consist of a base fluid, e.g., water, ethylene glycol and oil, and nano-sized particles, e.g., metals, metal oxides, and carbon nanotubes. They are promising for liquid CPU coolers with the enhanced cooling performance [4]. It is also possible to use superparamagnetic iron oxide nanoparticles (SPIONs) in such colloids.…”

Section: Introductionmentioning

confidence: 99%

Magnetic Field Distributions inside Magnetically Driven Nanofluids for Thermal Management of CPUs

et al. 2020

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Herein a magnetic actuation strategy is proposed to manipulate magnetic nanofluids in CPU thermal management applications. The proposed concept consists of a multi-circular microchannel unit and a rotating permanent magnet. A set of numerical simulations have been carried out to evaluate the influences of (i) magnet diameter, (ii) distance between the magnet and the microchannel, and (iii) shape of the magnet on magnetic flux densities (MFD) inside microchannels with Fe3O4 magnetic nanofluid. The results indicated that the MFD on the magnetic nanofluid significantly varies along with the radial position within the microchannel.

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Investigation on the CPU nanofluid cooling

Cited by 86 publications

References 29 publications

Cooling of High Heat Flux Flat Surface with Nanofluid Assisted Convective Loop: Experimental Assessment

Cooling of High Heat Flux Flat Surface with Nanofluid Assisted Convective Loop: Experimental Assessment

Thermal performance and reliability of procesor investigation using TiO2 and CuO/water nanofluids

Magnetic Field Distributions inside Magnetically Driven Nanofluids for Thermal Management of CPUs

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