2023
DOI: 10.32604/cmes.2022.022649
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Numerical Assessment of Nanofluid Natural Convection Using Local RBF Method Coupled with an Artificial Compressibility Model

Abstract: In this paper, natural heat convection inside square and equilateral triangular cavities was studied using a meshless method based on collocation local radial basis function (RBF). The nanofluids used were Cu-water or Al 2 O 3 -water mixture with nanoparticle volume fractions range of 0 ≤ φ ≤ 0.2. A system of continuity, momentum, and energy partial differential equations was used in modeling the flow and temperature behavior of the fluids. Partial derivatives in the governing equations were approximated using… Show more

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Cited by 2 publications
(2 citation statements)
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“…Along with liposome-based drugs that are currently available in clinical trials, the authors also considered a number of strategies that have been created to get around the drawbacks of liposomes' first generation. On the other hand, partial differential equations were used in [22] to model the fluids' flow and temperature behavior. In order to study natural heat convection inside square and equilateral triangular cavities, a meshless approach based on a collocation of local radial basis functions was used.…”
mentioning
confidence: 99%
“…Along with liposome-based drugs that are currently available in clinical trials, the authors also considered a number of strategies that have been created to get around the drawbacks of liposomes' first generation. On the other hand, partial differential equations were used in [22] to model the fluids' flow and temperature behavior. In order to study natural heat convection inside square and equilateral triangular cavities, a meshless approach based on a collocation of local radial basis functions was used.…”
mentioning
confidence: 99%
“…Generally, the determination of the range of shape value can be obtained by using numerical tests. In this study, we use the formula employed in the work ofNuwairan et al (2023).𝛺 𝑗 ⊂ 𝛺 is the local support domain for each node xj and have n nearest centres with centre. The N number of 𝑁 × 𝑁 linear systems is…”
mentioning
confidence: 99%