Numerical investigation of turbulent natural convection in a round bottom flask using a hybrid nanofluid

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This numerical study investigated turbulent natural convection in a round bottom flask using graphene-carbon nanotube nanofluids, finding that heat transfer is influenced by Rayleigh number and nanoparticle volume fraction, with a minor effect from agitator rotation.

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This preprint numerically investigates turbulent natural convection of a graphene–carbon nanotube hybrid nanofluid (nanoparticles dispersed in pure water) inside a round-bottom flask with an agitator, using finite-size numerical methods and the Boussinesq approximation. The bottom wall and midsection are held at a high temperature while the upper, left, and right walls up to mid-height are held at a low temperature, and the study varies nanoparticle volume fraction (0–6%), Rayleigh number (10^4–10^6), and evaluates heat transfer via Nusselt number. The authors report that heat transfer is notably affected by Rayleigh number and increases with higher nanoparticle volume fraction, while agitator rotation speed has only a slight effect. The paper is a numerical simulation and is not described as peer reviewed. The paper does not explicitly discuss endometriosis or adenomyosis; it was included in the corpus via a keyword match in the upstream search index.

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Abstract

In this study, we conducted a numerical investigation of the turbulent natural convection of a hybrid nanofluid (HNF) in a flask equipped with an agitator, which is commonly used in organic chemistry synthesis. The bottom wall and the middle section of the flask were maintained at a constant high temperature T h , while the upper, left, and right walls up to the middle of the flask were kept at a low temperature T c . The HNF consisted of Graphene (Gr) and Carbon nanotube (CNT) nanoparticles (NP) dispersed in pure water. The governing equations were solved numerically using the finite size approach and formulated using the Boussinesq approximation. The effects of the NP volume fraction 𝜑 (ranging from 0–6%), the Rayleigh number Ra (ranging from 10 4 to 10 6 ), and the Nusselt number were investigated in this simulation. The results indicated that the heat transfer is noticeably influenced by the Ra number and the increase in the 𝜑 ratio. Additionally, the agitator rotation speed had a slight effect on the heat transfer.
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The bottom wall and the middle section of the flask were maintained at a constant high temperature T h , while the upper, left, and right walls up to the middle of the flask were kept at a low temperature T c . The HNF consisted of Graphene (Gr) and Carbon nanotube (CNT) nanoparticles (NP) dispersed in pure water. The governing equations were solved numerically using the finite size approach and formulated using the Boussinesq approximation. The effects of the NP volume fraction 𝜑 (ranging from 0–6%), the Rayleigh number Ra (ranging from 10 4 to 10 6 ), and the Nusselt number were investigated in this simulation. The results indicated that the heat transfer is noticeably influenced by the Ra number and the increase in the 𝜑 ratio. Additionally, the agitator rotation speed had a slight effect on the heat transfer. Turbulent natural convection Hybrid nanofluids Numerical simulation Graphene Carbon nanotube. Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. 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