A CFD modeling of heat transfer between CGNPs/H2O Eco-friendly nanofluid and the novel nature-based designs heat sink: Hybrid passive techniques for CPU cooling. (1st January 2023)

• Record Type: Journal Article
• Authors: S. Ghadikolaei, S.; Siahchehrehghadikolaei, Soheil; Gholinia, M.; Rahimi, Masoud
• Is Part Of: Thermal science and engineering progress. Volume 37(2023)
• Publication Date: 2023-01-01
• Subjects: Electronic cooling -- Green nanofluid -- Fin heat sink -- Nature algorithm -- Heat transfer coefficient -- Thermal performance; Heat engineering -- Periodicals; Heat engineering; Thermodynamics; Periodicals; 621.402
• DOI: 10.1016/j.tsep.2022.101604
• Languages: English
• ISSNs: 2451-9049

Abstract

Highlights: CPU cooling by CGNP / H 2 O green nanofluid flow and fin heat sink techniques. A novel design of fin and liquid block heat sink with nature-based models baseplate. A 8582.3 W . m - 2 K - 1 HTC improvement due to CGNP 0.100 % w t / H 2 O, R e = 2000 . A 8.5 % thermal output improvement by the spider netted baseplate design and CGNP 0.075 % w t / H 2 O nanofluid. Abstract: A Control Volume-based numerical study of laminar flow and heat transfer of a single-phase Covalently functionalized Graphene Nanoplatelets ( CGNPs ) / H 2 O green nanofluid in a liquid block heat sink with novel fin design and nature-based algorithms (honeycomb, ternate veiny, snowflake, and spider netted) baseplate's designs conducted for cooling of Central Processing Unit (CPU) in the electronic package. The User Defined Function (UDF) code was used to apply the temperature-dependent thermos-physical properties of CGNPs / H 2 O green nanofluid to the ANSYS-Fluent 2021 R2. The influence of Reynolds number variation, nanoparticles volume fraction, and the baseplate's designs on the CPU temperature, pumping power, Heat Transfer Coefficient (HTC), and thermal efficiency of the heat sink have been analyzed. The spider netted baseplate design reduced the maximum temperature of the liquid block by about 8.5 K in comparison with the Ternate veiny baseplate design. The heat transfer coefficient has a direct relationship with nanofluid concentration and Reynolds number and the best case in terms of HTC improvement is related to ( C G N P s 0.100 % w t / H 2 O, R e = 2000 ) with HTC about 8582.3 W . m - 2 K - 1 . Moreover, the most thermal output improvement in comparison with the simple model liquid block heat sink is about 8.5 % which is related to the liquid block with spider netted baseplate design and CGNPs 0.075 % w t / H 2 O green nanofluid flow.