<?xml version="1.0" encoding="UTF-8"?><!DOCTYPE article  PUBLIC "-//NLM//DTD Journal Publishing DTD v3.0 20080202//EN" "http://dtd.nlm.nih.gov/publishing/3.0/journalpublishing3.dtd"><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" dtd-version="3.0" xml:lang="en" article-type="research article"><front><journal-meta><journal-id journal-id-type="publisher-id">JAMP</journal-id><journal-title-group><journal-title>Journal of Applied Mathematics and Physics</journal-title></journal-title-group><issn pub-type="epub">2327-4352</issn><publisher><publisher-name>Scientific Research Publishing</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.4236/jamp.2024.128180</article-id><article-id pub-id-type="publisher-id">JAMP-135715</article-id><article-categories><subj-group subj-group-type="heading"><subject>Articles</subject></subj-group><subj-group subj-group-type="Discipline-v2"><subject>Physics&amp;Mathematics</subject></subj-group></article-categories><title-group><article-title>
 
 
  Analyzing Thermal Stratification and Nanoparticle Shapes Influence on an EMHD Ternary Nanofluid Flow amidst Two Spinning Disks
 
</article-title></title-group><contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Muhammad</surname><given-names>Ramzan</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Saima</surname><given-names>Riasat</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref></contrib></contrib-group><aff id="aff2"><addr-line>Department of Mathematical Science, Fatima Jinnah Women University, Rawalpindi, Pakistan</addr-line></aff><aff id="aff1"><addr-line>Department of Computer Science, Bahria University, Islamabad, Pakistan</addr-line></aff><pub-date pub-type="epub"><day>06</day><month>08</month><year>2024</year></pub-date><volume>12</volume><issue>08</issue><fpage>3017</fpage><lpage>3025</lpage><history><date date-type="received"><day>8,</day>	<month>July</month>	<year>2024</year></date><date date-type="rev-recd"><day>27,</day>	<month>August</month>	<year>2024</year>	</date><date date-type="accepted"><day>30,</day>	<month>August</month>	<year>2024</year></date></history><permissions><copyright-statement>&#169; Copyright  2014 by authors and Scientific Research Publishing Inc. </copyright-statement><copyright-year>2014</copyright-year><license><license-p>This work is licensed under the Creative Commons Attribution International License (CC BY). http://creativecommons.org/licenses/by/4.0/</license-p></license></permissions><abstract><p>
 
 
  The present study examines the thermal distribution of ternary nanofluid flow amid two spinning disks influenced by electric and magnetic fields. Keeping in view the shape of the particles, the electrically conducting ternary nanofluid is analyzed with variable thermophysical features. Three types of nanoparticles namely Copper, Aluminum Oxide, and Graphene with spherical, cylindrical, and platelet shapes are taken respectively and are immersed in a (50-50)% ratio of water and ethylene glycol mixture which acts as a base fluid. The anticipated problem is addressed by employing a reliable and user-friendly numerical bvp4c built-in collocation scheme. This solution is then showcased through illustrations and tables. Strengthening the radiation results in an enhanced heat transfer rate. Radial and azimuthal velocities once rotation of disks is enhanced. The key findings provide a strong theoretical background in photovoltaic cells, solar collectors, radiators, solar water heaters, and many other applications.
 
</p></abstract><kwd-group><kwd>Trihybrid Nanofluid Flow</kwd><kwd> Thermal Stratification</kwd><kwd> Particle Shapes</kwd><kwd> Spin-ning Disks</kwd></kwd-group></article-meta></front><body><sec id="s1"><title>1. Introduction</title><p>Nanofluids have promising thermophysical features to improve heat transfer rates. Their superior thermal conductivity compared to regular fluids motivated researchers to explore a wider range of nanofluids. Nanofluids are commonly a mixture of nanoparticles and a customary liquid. Nanoparticles may be from metals, oxides, carbides, and carbon nanotubes family, and alcohol, ethylene glycol, water, oil., etc. are mostly used as base liquids. Choi [<xref ref-type="bibr" rid="scirp.135715-ref1">1</xref>] first anticipated the idea to study the nanofluids. Masuda et al. [<xref ref-type="bibr" rid="scirp.135715-ref2">2</xref>] focused on the dispersion of nanoparticles to alter the thermal conductivity and viscosity of nanofluid. Metallic and non-metallic oxides, Nitrides, and carbides suspended in base fluid are studied experimentally and theoretically by various researchers [<xref ref-type="bibr" rid="scirp.135715-ref3">3</xref>]-[<xref ref-type="bibr" rid="scirp.135715-ref7">7</xref>]. With the improved thermal stability, thermal conductivity, and thermal properties a new kind of nanofluid known as hybrid nanofluid is recently introduced. Two or more kinds of nanoparticles are employed in a customary fluid to synthesize the hybrid nanofluid. Numerical and experimental research on hybrid nanofluid flows is available in the literature. Huminic and Huminic [<xref ref-type="bibr" rid="scirp.135715-ref8">8</xref>] have scrutinized the applications of hybrid nanofluids in varied scenarios. It is observed that convective heat transfer in heat exchangers can be improved by increasing pressure drop and pumping power of fluid. Hussein et al. [<xref ref-type="bibr" rid="scirp.135715-ref9">9</xref>] emphasized the heat transfer improvement of silica and titanium dioxide in automotive cooling systems. Various researchers [<xref ref-type="bibr" rid="scirp.135715-ref10">10</xref>] [<xref ref-type="bibr" rid="scirp.135715-ref11">11</xref>] employed various kinds of nanoparticles to study the enhanced thermophysical features of a hybrid nanofluid.</p><p>Nanoparticle response to electric and magnetic fields is an interesting phenomenon to enhance the heat transfer rate. Electromagnetohydrodynamic (EMHD) is a technique that significantly augments the heat transfer rate in the hybrid and nanofluid flows. It has found tremendous applications in fusion reactions, magnetospheres, plasma confinement, cosmic plasma, biomedical engineering, and various practical implementations. Swallom et al. [<xref ref-type="bibr" rid="scirp.135715-ref12">12</xref>] studied the submarine propulsion application of magnetohydrodynamics. In this analysis, various configurations and geometries have been analyzed. Chen et al. [<xref ref-type="bibr" rid="scirp.135715-ref13">13</xref>] deliberated a statistical structure analysis of an MHD thruster in a helical channel. Khan and Kosel [<xref ref-type="bibr" rid="scirp.135715-ref14">14</xref>] utilized the laser-induced graphene electrodes with an MHD pump with polydimethylsiloxane as a substrate. Waqas et al. [<xref ref-type="bibr" rid="scirp.135715-ref15">15</xref>] studied the EMHD effects on the heat transfer improvement of hybrid nanofluid flow between two rotating plates. Haq et al. [<xref ref-type="bibr" rid="scirp.135715-ref16">16</xref>] dedicated to elaborating the heat transfer enhancement of nanofluid with carbon nanotubes as nanoparticles under MHD effects between two rotating disks.</p><p>After a brief literature review, it has been inferred that various studies have incorporated the hybrid nanofluid flow amid two rotating disks. However, incorporating three kinds of nanocomposites by considering the shape of particles in the presence of electric and magnetic fields is the novelty of the problem. The collocation method is applied to solve the highly nonlinear problem. The outcomes are presented both graphically and in tabular format.</p></sec><sec id="s2"><title>2. Mathematical Model</title><p>Consider ternary nanofluid with Spherical Cu, cylindrical Al<sub>2</sub>O<sub>3</sub> and platelet graphene particles with 50% water and 50% ethylene glycol as a base fluid amid two rotating electrodes with angular velocity in the shape of disks. The magnetic field of strength B = B o applied in the normal direction accompanying a uniform electric field E = E ˜ o = E o r ω are engaged. It is assumed that flow is between the disks placed at Z = 0 and Z = d . The description of the flow geometry is given in <xref ref-type="fig" rid="fig1">Figure 1</xref>.</p><p>Considering the above assumption the mathematical model takes the following form:</p><p>u r + u r + w z = 0 , (1)</p><p>u t + u u r + w u z − υ 2 r = − 1 ρ t n f ∂ p ∂ r + μ t n f ρ t n f ( u r r + 1 r u r − u r 2 + u z z ) + σ t n f ρ t n f ( E B o − B o 2 u ) , (2)</p><p>v t + u v r + w v z + u v r = μ t n f ρ t n f ( v r r + 1 r v r − v r 2 + v z z ) + σ t n f ρ t n f ( E B o − B o 2 v ) , (3)</p><p>w t + u w r + w w z − v 2 r = − 1 ρ t n f ∂ p ∂ z + μ t n f ρ t n f ( w r r + 1 r w r + w z z ) , (4)</p><p>u T r + w T z = K t n f ( ρ C p ) t n f ( T r r + 1 r T r + T z z ) + 16 σ * T L 3 3 k * ( ρ C p ) n f T z z + σ t n f ( ρ C p ) t n f ( E o − B o ( u + v ) 2 ) . (5)</p><p>Thermal stratification at the lower and the upper disks are T 1 = T 0 + A ′ r / 1 − c t , and T 2 = T 0 + B ′ r / 1 − c t respectively. The boundary constraints are:</p><p>u = r a 1 1 − c t ,   v = r Ω 1 1 − c t ,   w = 0 ,   T = T 1 = T 0 + A ′ r 1 − c t ,   z = 0 , (6)</p><p>u = r a 2 1 − c t ,   v = r Ω 2 1 − c t ,   w = 0 ,   T = T 2 = T 0 + B ′ r 1 − c t ,   z = h . (7)</p><p>Here k * and σ * denote the coefficient of mean absorption and Stefan Boltzmann constant respectively. By introducing three nanoparticles of spherical cylindrical and platelet shape, thermophysical properties are described as under:</p><p>k t n f = ( k n f 1 φ 3 + k n f 2 φ 1 + k n f 3 φ 2 ) φ − 1 (8)</p><p>μ t n f = ( μ n f 1 φ 3 + μ n f 2 φ 1 + μ n f 3 φ 2 ) φ − 1 (9)</p><p>To define the shape of nanoparticles in spherical form we write:</p><p>μ t n f 1 = ( 6.2 φ 2 + 2.5 φ + 1 ) μ b f , (10)</p><p>k n f 1 = ( − 2 φ ( k b f − k s p 1 ) + 2 k b f + k s p 1 φ ( k b f − k s p 1 ) + 2 k b f + k s p 1 ) k b f , (11)</p><p>For cylindrical-shaped nanoparticle:</p><p>μ t n f 2 = ( 904.4 φ 2 + 13.5 φ + 1 ) μ b f , (12)</p><p>k n f 2 = ( − 3.9 φ ( k b f − k s p 2 ) + 3.9 k b f + k s p 2 φ ( k b f − k s p 2 ) + 2 k b f + k s p 2 ) k b f , (13)</p><p>and for platelet-shaped nanoparticles, we have:</p><p>μ t n f 3 = ( 612.6 φ 2 + 37.1 φ + 1 ) μ b f , (14)</p><p>k n f 3 = ( − 4.7 φ ( k b f − k s p 3 ) + 4.7 k b f + k s p 3 φ ( k b f − k s p 3 ) + 2 k b f + k s p 3 ) k b f . (15)</p><p>The mathematical model for viscosity density, specific heat, and thermal conductivity is as follows:</p><p>ρ t n f = ( 1 − φ 1 − φ 2 − φ 3 ) ρ b f + φ 3 ρ s p 3 + φ 2 ρ s p 2 + φ 1 ρ s p 1 , (16)</p><p>( ρ C p ) t n f = ( 1 − φ 1 − φ 2 − φ 3 ) ( ρ C p ) b f + φ 3 ( ρ C p ) s p 3 + φ 2 ( ρ C p ) s p 2 + φ 1 ( ρ C p ) s p 1 , (17)</p><p>k t n f = ( φ 1 k s p 1 + φ 2 k s p 2 + φ 3 k s p 3 ) / ( φ 1 + φ 2 + φ 3 ) (18)</p><p>where φ = φ 1 + φ 2 + φ 3 .</p><p><xref ref-type="table" rid="table1">Table 1</xref> represents the thermo-physical characteristics of spherically shaped Cu, with cylindrical orientation Al<sub>2</sub>O<sub>3</sub>, and platelet-shaped graphene.</p><table-wrap id="table1" ><label><xref ref-type="table" rid="table1">Table 1</xref></label><caption><title> Thermo-physical properties of Ethylene Glycol and nanoparticles</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Physical Properties</th><th align="center" valign="middle" >Cu Spherical</th><th align="center" valign="middle" >Al<sub>2</sub>O<sub>3</sub> Cylindrical</th><th align="center" valign="middle" >Graphene Platelet</th><th align="center" valign="middle" >50% Ethylene Glycol and 50% Water</th></tr></thead><tr><td align="center" valign="middle" >ρ ( kg m 3 )</td><td align="center" valign="middle" >8954</td><td align="center" valign="middle" >3970</td><td align="center" valign="middle" >2200</td><td align="center" valign="middle" >1056</td></tr><tr><td align="center" valign="middle" >C p ( JK kg )</td><td align="center" valign="middle" >383</td><td align="center" valign="middle" >765</td><td align="center" valign="middle" >790</td><td align="center" valign="middle" >3288</td></tr><tr><td align="center" valign="middle" >k ( W mK )</td><td align="center" valign="middle" >400</td><td align="center" valign="middle" >40</td><td align="center" valign="middle" >5000</td><td align="center" valign="middle" >0.425</td></tr></tbody></table></table-wrap><p>The following transformation converts the above nonlinear set of Equations (2)-(7) to the ensuing dimensionless form:</p><p>u = r Ω 1 1 − c t f ′ ( η ) ,   v = r Ω 1 1 − c t g ( η ) , w = 2 h Ω 1 1 − c t f ( η ) ,   θ = T − T 2 T 1 − T o ,   η = z h 1 − c t . (19)</p><p>The non-dimensional form is:</p><p>f ‴ + Re ( ( f ′ 2 − 2 f f ″ − g 2 ) − 1 2 A 1 ζ B 2 B 1 f ″ − M B 1 ( f ′ + E 1 ) − A 1 f ′ ) = 0 , (20)</p><p>[ 2 ( f ′ g − f g ′ ) + A 1 2 ζ g ′ + A 1 g + M ( E 1 − g ) ] = B 1 B 2 Re g ″ , (21)</p><p>1 Pr Re B 4 B 3 θ ″ ( 1 + R ) + 2 f θ ′ − ζ A 1 2 θ ′ + M E c ( E 1 − ( f ′ + g ) 2 ) = 0. (22)</p><p>The boundary constraints are transformed into:</p><p>f ( 0 ) = 0 ,   f ( 1 ) = 0 ,   f ′ ( 0 ) = γ 1 ,   f ′ ( 1 ) = γ 2 , g ( 0 ) = 1 ,   g ( 1 ) = Ω ,   θ ( 0 ) = 1 − s ,   θ ( 1 ) = 0 , (23)</p><p>where</p><p>M = σ f B o 2 ( 1 − c t ) ρ f ( 1 + m 2 ) ,   A 1 = c Ω 1 ,   γ 1 = a 1 Ω 1 ,   γ 2 = a 2 Ω 2 ,   Ω = Ω 2 Ω 1 , R = − 16 σ * T L 3 3 k f k * ,   P r = υ f ( ρ C p ) f k f ,   B 1 = ρ t n f ρ f ,   B 2 = μ t n f μ f , B 3 = ( ρ C p ) t n f ( ρ C p ) f ,   B 4 = k t n f k f . (24)</p><p>Here, M is the magnetic moment parameter, A 1 is the parameter of unsteadiness, γ 1 and γ 2 are the parameters of scale stretching, Ω is the parameter of rotation, R is the radiation parameter, Pr is the Prandtl number, B 1 , B 2 , B 3 and B 4 are used to denote the thermophysical properties of nanoparticles.</p></sec><sec id="s3"><title>3. Results and Discussion</title><p>This section serves to display the outcomes in the form of illustrations and tables. <xref ref-type="fig" rid="fig2">Figure 2</xref> is the graphical outcome of the radial velocity profile for the magnetic field parameter. As the magnetic field strength parameter elevates it boosts resistance in fluid and surface. Resultantly the deceleration in flow velocity occurs near the surface of the lower disk. However, near the upper disk opposite trend in fluid motion is witnessed. The trend in the radial velocity profile for increasing values of Reynolds number Re is displayed in <xref ref-type="fig" rid="fig3">Figure 3</xref>. Near the lower disk, the deceleration in fluid motion is observed due to the radial flux of the lower disk. Additionally, an upsurge in Reynolds number causes the enhancement in inertial forces which slow down the flow phenomenon near the lower disk. However, as the axial motion arises due to the vertical motion of the upper disk, radial velocity is seen to be increasing.</p><p><xref ref-type="fig" rid="fig4">Figure 4</xref> is the manifestation of the axial velocity profile for growing values of rotation parameter. For the growing values of the rotation parameter, the deceleration of the fluid motion near the lower while the acceleration near the upper disk is observed. This is because the rotation of the disks opposes the flow direction in the vicinity of both disks. Therefore, the opposite trend is observed in fluid motion for both disks for increasing rotation. The temperature profile for increasing values of thermal stratification parameter for rotating disks is given in <xref ref-type="fig" rid="fig5">Figure 5</xref>.</p><p>It is gained that increasing values of the thermal stratification parameter causes the cooling of disks. The physical significance behind the noted phenomenon is that the heat transfer rate is enhanced, and the thermal boundary layers’ thickness gets thinner.</p><p><xref ref-type="fig" rid="fig6">Figure 6</xref> shows the temperature distribution for increasing values of radiation</p><p><xref ref-type="fig" rid="fig4">Figure 4</xref>. Axial velocity profile versus Rotation parameter Ω.</p><p><xref ref-type="fig" rid="fig5">Figure 5</xref>. Temperature profile versus Rotation parameter Ω.</p><p><xref ref-type="fig" rid="fig6">Figure 6</xref>. Temperature profile versus Radiation parameter Rd.</p><p>parameters. It is noted that as the values of radiation parameter increase both disks are heated. Increasing values of radiation parameter decay the mean absorption coefficient thereby, the temperature rises.</p></sec><sec id="s4"><title>4. Conclusions</title><p>The present study has focused on ternary nanofluid flow by incorporating varied nanoparticles with dissimilar shapes. The said trihybrid nanofluid has a combination of three nanoparticles (copper, aluminum oxide, and graphene) and a base fluid (mixture of water and ethylene glycol with equal distribution). Three dissimilar shapes spherical, cylindrical, and platelet of copper, aluminum oxide, and graphene are considered respectively. The flow is assumed between two spinning disks under the influence of electric and magnetic fields. The graphical and numerical outcomes ascertain the following outcomes:</p><p>・ Magnetic field strength causes the enhancement in radial and azimuthal velocity profiles due to the increasing strength of the Lorentz force.</p><p>・ Owing to enhancement in the rotation characteristics of the plates, deceleration in the fluid motion is witnessed but a pronounced increment in the temperature profile.</p><p>・ The increasing values of the rotation parameter enhance the inertial forces and therefore upsurge in radial and azimuthal velocity profiles is observed.</p><p>・ The heat transfer rate can be boosted by intensifying the radiation parameter.</p></sec><sec id="s5"><title>Conflicts of Interest</title><p>The authors declare no conflicts of interest regarding the publication of this paper.</p></sec></body><back><ref-list><title>References</title><ref id="scirp.135715-ref1"><label>1</label><mixed-citation publication-type="other" xlink:type="simple">Choi, S.U. and Eastman, J.A. 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