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              <text>Flow and heat transport of nanomaterial with quadratic radiative heat flux and aggregation kinematics of nanoparticles</text>
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              <text>Convective boundary condition; Inclined magnetic field; Nanoliquid; Nanoparticle aggregation; Quadratic thermal convection; Quadratic thermal radiation</text>
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              <text>A numerical study of flow and heat transport of nanoliquid with aggregation kinematics of nanoparticles is carried out using the modified Buongiorno model (MBM). The MBM model is composed of random motion nanoparticles, heat diffusion of nanoparticles, and effective properties of nanoliquids. The effects of quadratic variation of density-temperature (quadratic convection), and the quadratic Rosseland thermal radiation are also studied. Inclined magnetism is also taken into account. The aggregation kinematics of nanoparticles is simulated using the modified Krieger-Dougherty model for dynamic viscosity and the modified Maxwell model for thermal conductivity. The main system of nonlinear partial differential equations is solved using the similarity technique and the finite difference method-based algorithm (FDM). The consequence of several key parameters on velocity, nanoparticle volume fraction, wall heat flux, and temperature are found in two cases, namely weak convective heating and strong convective heating. The study reveals that the suspension of the nanoparticles increases the thermal conductivity and, thus, improves the temperature and reduces the heat flux at the plate. The structures of the thermal and velocity surface layer are higher in the case of strong convective heating, while in the case of weak convective heating, the nanoparticle volume fraction layer is thicker.  2021 Elsevier Ltd</text>
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              <text>Mahanthesh B.</text>
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              <text>International Communications in Heat and Mass Transfer, Vol-127</text>
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              <text>2021-01-01</text>
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              <text>&lt;a href="https://doi.org/10.1016/j.icheatmasstransfer.2021.105521" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1016/j.icheatmasstransfer.2021.105521&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85112480339&amp;amp;doi=10.1016%2Fj.icheatmasstransfer.2021.105521&amp;amp;partnerID=40&amp;amp;md5=cb21539e5272fb66a62a308a8b50a11c" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85112480339&amp;amp;doi=10.1016%2fj.icheatmasstransfer.2021.105521&amp;amp;partnerID=40&amp;amp;md5=cb21539e5272fb66a62a308a8b50a11c&lt;/a&gt;</text>
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              <text>ISSN: 7351933; CODEN: IHMTD</text>
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              <text>Mahanthesh B., Center for Mathematical Needs, Department of Mathematics, CHRIST (Deemed to be University), Bengaluru, 560029, Karnataka, India</text>
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