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      MHD mixed convective stagnation point flow of nanofluid past a permeable stretching sheet with nanoparticles aggregation and thermal stratification

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          Abstract

          Using a thermally stratified water-based nanofluid and a permeable stretching sheet as a simulation environment, this research examines the impact of nanoparticle aggregation on MHD mixed convective stagnation point flow. Nanoparticle aggregation is studied using two modified models: the Krieger–Dougherty and the Maxwell–Bruggeman. The present problem's governing equations were transformed into a solvable mathematical model utilizing legitimate similarity transformations, and numerical solutions were then achieved using shooting with Runge–Kutta Fehlberg (RKF) technique in Mathematica. Equilibrium point flow toward permeable stretching surface is important for the extrusion process because it produces required heat and mass transfer patterns and identifies and clarifies fragmented flow phenomena using diagrams. Nanoparticle volume fraction was shown to have an impact on the solutions' existence range, as well. Alumina and copper nanofluids have better heat transfer properties than regular fluids. The skin friction coefficients and Nusselt number, velocity, temperature profiles for many values of the different parameters were obtained. In addition, the solutions were shown in graphs and tables, and they were explained in detail. A comparison of the current study's results with previous results for a specific instance is undertaken to verify the findings, and excellent agreement between them is observed.

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          Measuring Thermal Conductivity of Fluids Containing Oxide Nanoparticles

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            Mechanisms of heat flow in suspensions of nano-sized particles (nanofluids)

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              Effect of aggregation kinetics on the thermal conductivity of nanoscale colloidal solutions (nanofluid).

              The thermal conductivity, k, of nanoscale colloidal suspensions (also known as nanofluid), consisting of nanoparticles suspended in a base liquid, is much higher than the thermal conductivity of the base liquid at very small volume fractions of the nanoparticles. However, experimental results from various groups all across the world have shown various anomalies such as a peak in the enhancement of k with respect to nanoparticle size, an increase as well as a decrease in the ratio of k of these colloidal solutions with the k of the base fluid with increasing temperature, and a dependence of k on pH and time. In this paper, the aggregation kinetics of nanoscale colloidal solutions are combined with the physics of thermal transport to capture the effects of aggregation on k. Results show that the observed anomalies reported in experimental work can be well described by taking aggregation kinetics into account. Finally, we show that colloidal chemistry plays a significant role in deciding the k of colloidal nanosuspensions.
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                Author and article information

                Contributors
                nadhir.alansari@ltu.se
                Journal
                Sci Rep
                Sci Rep
                Scientific Reports
                Nature Publishing Group UK (London )
                2045-2322
                26 September 2022
                26 September 2022
                2022
                : 12
                : 16020
                Affiliations
                [1 ]GRID grid.440530.6, ISNI 0000 0004 0609 1900, Department of Mathematics and Statistics, , Hazara University, ; Mansehra, Pakistan
                [2 ]GRID grid.412832.e, ISNI 0000 0000 9137 6644, Mathematics Department, Al-Qunfudah University College, , Umm Al-Qura University, ; Mecca, Kingdom of Saudi Arabia
                [3 ]GRID grid.460099.2, Department of Mathematics, College of Science and Arts at Alkamil, , University of Jeddah, ; Jeddah, Saudi Arabia
                [4 ]GRID grid.412144.6, ISNI 0000 0004 1790 7100, Chemistry Department, College of Science, , King Khalid University, ; Abha, 61413 Saudi Arabia
                [5 ]GRID grid.412124.0, ISNI 0000 0001 2323 5644, Chemistry Department, Faculty of Sciences of Sfax, , University of Sfax, ; 3038 Sfax, Tunisia
                [6 ]GRID grid.6926.b, ISNI 0000 0001 1014 8699, Department of Civil, Environmental and Natural Resources Engineering, , Lulea University of Technology, ; 97187 Lulea, Sweden
                Article
                20074
                10.1038/s41598-022-20074-1
                9512836
                36163398
                2b000222-a98a-4a22-80e1-748b64904317
                © The Author(s) 2022

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 8 April 2022
                : 8 September 2022
                Funding
                Funded by: Lulea University of Technology
                Categories
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                © The Author(s) 2022

                Uncategorized
                energy science and technology,materials science,mathematics and computing,nanoscience and technology

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