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            <name>Title</name>
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                <text>Book Chapter</text>
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    <name>Book Chapter</name>
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          <name>Title</name>
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              <text>Study on Falkner-Skan Flow of MWCNT-MgO/ EG Hybrid Nanofluid</text>
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              <text>In this chapter, a theoretical study of the Falkner-Skan flow and heat transport of a Newtonian ethylene glycol containing MWCNT-MgO hybrid nanoparticles on a wedge-shaped surface using the modified Buongiorno nanofluidic model (MBNM) is performed. The mechanisms of Brownian motion (BM) and microscopic thermophoresis (MT) of solid nanoparticles are implicitly included together with the thermophysical properties. The effects of thermal radiation, the Lorentz force, and Joule heating are examined. The passive control of the nanoparticles and the thermal jump boundary conditions are considered. The governing equations are modeled using the conservation of mass, the Navier-Stokes equation, the conservation of energy, and the conservation of nanoparticle volume fraction. The Prandtl boundary layer and Rosseland heat flux approximations were used. The velocity, temperature, and volume fraction of nanoparticles behaviors are analyzed for various parameters. It is determined that the temperature of the hybrid nanofluid increased due to the presence of Joule heating, radiative heat flux, Brownian motion, and thermophoresis aspects in the system. Furthermore, a hybrid nanoliquid exhibits a higher heat transfer rate than mono nanoliquid and base fluid.  2024 selection and editorial matter, Katta Ramesh, Fateh Mebarek-Oudina, and Basma Souayeh; individual chapters, the contributors.</text>
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          <name>Creator</name>
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              <text>Basavarajappa M.; Bhatta D.</text>
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              <text>Mathematical Modelling of Fluid Dynamics and Nanofluids, pp. 393-413.</text>
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              <text>CRC Press</text>
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          <name>Date</name>
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              <text>2023-01-01</text>
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              <text>&lt;a href="https://doi.org/10.1201/9781003299608-23" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1201/9781003299608-23&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85170179991&amp;amp;doi=10.1201%2F9781003299608-23&amp;amp;partnerID=40&amp;amp;md5=d6cb820f4c1dd8311ae5d851ec190897" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85170179991&amp;amp;doi=10.1201%2f9781003299608-23&amp;amp;partnerID=40&amp;amp;md5=d6cb820f4c1dd8311ae5d851ec190897&lt;/a&gt;</text>
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              <text>Restricted Access</text>
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              <text>ISBN: 978-100093336-9; 978-103229016-4</text>
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              <text>Online</text>
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          <name>Language</name>
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              <text>English</text>
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              <text>Basavarajappa M., School of Mathematical and Statistical Sciences, The University of Texas Rio Grande Valley, Edinburg, 78539, TX, United States, Department of Mathematics, CHRIST (Deemed to be University), Karnataka, Bengaluru, 560029, India; Bhatta D., School of Mathematical and Statistical Sciences, The University of Texas Rio Grande Valley, Edinburg, 78539, TX, United States</text>
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