2023
DOI: 10.1038/s41598-023-31734-1
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A computational fluid dynamics analysis on Fe3O4–H2O based nanofluid axisymmetric flow over a rotating disk with heat transfer enhancement

Abstract: In present times modern electronic devices often come across thermal difficulties as an outcome of excessive heat production or reduction in surface area for heat exclusion. The current study is aimed to inspect the role of iron (III) oxide in heat transfer enhancement over the rotating disk in an axisymmetric flow. Water is utilized as base fluid conveying nano-particle over the revolving axisymmetric flow mechanism. Additionally, the computational fluid dynamics (CFD) approach is taken into consideration to … Show more

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Cited by 19 publications
(3 citation statements)
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References 45 publications
(63 reference statements)
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“…( 29 ). The given equation includes the diffusion (viscous) term in the Navier–Stokes equation, which is critical in the aerospace industry and various other fields, as mentioned by References 19 , 59 , 60 , 88 – 91 . In PDEs, discretization in space is required.…”
Section: Resultsmentioning
confidence: 99%
“…( 29 ). The given equation includes the diffusion (viscous) term in the Navier–Stokes equation, which is critical in the aerospace industry and various other fields, as mentioned by References 19 , 59 , 60 , 88 – 91 . In PDEs, discretization in space is required.…”
Section: Resultsmentioning
confidence: 99%
“…Ferrofluids, which are colloidal solutions of metal nanoparticles, are employed in cancer treatment through magnetic hyperthermia. CFD can assist in real-time particle tracking for this application [99]. Additionally, CFD can be utilized to study drug release behavior and design drug delivery schemes [100].…”
Section: Cfd Modelsmentioning
confidence: 99%
“…A high-dimensional optimization problem is a typical representative of an optimization problem. With the continuous development of blockchain technology 22 25 , big data 26 , 27 and practical nanotechnology 28 30 , the dimensionality of optimization problems is increasing dramatically. Li 31 proposed a dimension dynamic sine cosine algorithm (DDSCA).…”
Section: Introductionmentioning
confidence: 99%