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<title-group><article-title>Free Convection Heat Transfer with Thermal Radiation over Vertical Wavy Surfaces</article-title></title-group>
<contrib-group>
<contrib contrib-type="author"><name><surname>Cevallos-Torres</surname><given-names>Lorenzo</given-names></name><xref ref-type="aff" rid="aff1"/></contrib>
<contrib contrib-type="author"><name><surname>Mahmoodnezhad</surname><given-names>Motahare</given-names></name><xref ref-type="aff" rid="aff2"/></contrib>
<aff id="aff1">Brigham Young University–Idaho, USA.</aff>
<aff id="aff2">Department of Mechanical Engineering, Shahrood University of Technology, Shahrood, Semnan, Iran.</aff>
</contrib-group>
<abstract><p>In this study, free convective boundary-layer heat transfer with the influence of thermal radiation over a vertical wavy surface is numerically investigated. A suitable coordinate transformation is applied to map the governing equations of the wavy surface onto an equivalent flat surface, thereby simplifying the mathematical formulation. The transformed, coupled nonlinear partial differential equations are solved using an efficient cubic spline numerical method. The effects of key dimensionless parameters, including the radiation parameter, surface heating parameter, Prandtl number, and wave amplitude, on the flow and thermal characteristics are systematically examined. Variations in the local and average Nusselt numbers as well as the skin friction coefficient are presented and discussed in detail. The numerical results reveal that increasing the radiation parameter significantly enhances the overall heat transfer rate. Moreover, it is observed that higher surface heating intensifies both velocity and temperature fields within the boundary layer, leading to an increase in the local and average Nusselt numbers. The findings provide useful physical insight into the combined effects of surface waviness and thermal radiation on natural convection heat transfer, which can be beneficial in the design of thermal systems involving complex surface geometries.</p></abstract>
<kwd-group kwd-group-type="author"><kwd>Free convection heat transfer</kwd><kwd>Thermal radiation</kwd><kwd>Vertical wavy surfaces</kwd><kwd>Cubic spline numerical method</kwd></kwd-group>
</article-meta></front>
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<sec id="sec-1"><label>1</label><title>Introduction</title>
<p>In recent years, the application of wavy surfaces has gained considerable practical importance due to the surface irregularities commonly encountered in industrial processes. Such surfaces are widely used in thermal engineering applications, including heat-dissipating fins, solar collectors, condensers, and related systems. Another important application of wavy surfaces is their utilization in the design and fabrication of plate heat exchangers, where surface waviness can significantly enhance heat transfer performance.</p>
<p>Several studies have been conducted on heat transfer over wavy surfaces. Hady et al. <xref ref-type="bibr" rid="ref-1">[1]</xref> investigated free convective heat transfer over a wavy surface in a porous medium in the presence of a magnetic field, considering the effects of internal heat generation or absorption. They solved the transformed nonlinear boundary-layer equations using the Runge–Kutta integration method combined with the shooting technique. The influence of wave amplitude along the surface on velocity and temperature profiles at a specific location was examined. Their results showed that increasing the velocity enhanced both heat generation and absorption effects. At the same time, the temperature profile decreased in the case of heat absorption and increased in the presence of heat generation.</p>
<p>Furthermore, their analysis of Magnetohydrodynamic (MHS) effects indicated that an increase in magnetic field strength led to higher temperature levels and reduced velocity. They also demonstrated that decreasing the heat generation/absorption parameter QQQ resulted in a reduction of both velocity and temperature at a given streamwise location along the surface.</p>
<p>In another study, Mamun and Hossain <xref ref-type="bibr" rid="ref-2">[2]</xref> examined heat transfer characteristics over wavy surfaces considering the influence of thermal radiation. Their work highlighted the significant role of radiative effects on the thermal behavior of natural convection flows over complex geometries. They analyzed the effect of thermal radiation on wavy surfaces using two numerical approaches, namely the finite difference method and the Keller–Box scheme. Their numerical results were illustrated through streamlines and isotherms. They reported that increasing both the surface temperature and the fluid temperature leads to an enhancement of the local Nusselt number and, consequently, the average Nusselt number. In addition, the influence of the radiation parameter (Planck number) on the velocity and temperature profiles was examined, and it was shown that higher values of this parameter result in increased fluid velocity and temperature. The results further indicated that the increase in temperature gradients associated with higher radiation parameters leads to an increase in the Nusselt number as well as the average heat transfer coefficient.</p>
<p>Other notable investigations on heat transfer over wavy surfaces include the study of heat transfer over composite wavy surfaces by Tashtoush and Al-Odat <xref ref-type="bibr" rid="ref-3">[3]</xref>, natural convection heat transfer of Newtonian fluids by Kim <xref ref-type="bibr" rid="ref-4">[4]</xref>, mixed convection heat transfer with magnetohydrodynamic effects by Chang and Chen <xref ref-type="bibr" rid="ref-5">[5]</xref>, mixed convection of micropolar fluids by Chang and Chen <xref ref-type="bibr" rid="ref-6">[6]</xref>, and natural heat and mass transfer by Chang, Liu, and co-workers <xref ref-type="bibr" rid="ref-7">[7]</xref>. Convection heat transfer is one of the three fundamental modes of heat transfer, the other two being conduction and radiation. In most practical engineering applications, at least two modes of heat transfer occur simultaneously.</p>
<p>Accordingly, the present study focuses on free convective heat transfer of a fluid with the inclusion of thermal radiation over a vertical wavy surface, where the surface temperature is higher than the ambient temperature. A simple coordinate transformation is employed to map the wavy surface onto a flat surface, after which the transformed boundary-layer equations are solved using the cubic spline numerical method. The effects of key parameters, including thermal radiation, surface heating, wave amplitude, and the Prandtl number, are investigated in terms of the local Nusselt number, average Nusselt number, and skin friction coefficient. Rahman and Ahmad <xref ref-type="bibr" rid="ref-8">[8]</xref> numerically investigate the dynamics of shear-thinning non-Newtonian nanofluids containing living microorganisms over a gravitationally affected wavy surface under the influence of thermal radiation. By employing a modified approximation scheme, the research analyzes how key parameters like Richardson number and radiation factors enhance heat transfer and bioconvection performance in these complex materials <xref ref-type="bibr" rid="ref-8">[8]</xref>. Sarthak, In their paper, this study provides an in-depth analysis of the combined effects of surface waves, fluid inertia, and thermal radiation on natural convection within a porous medium under the influence of MHD bioconvection. By leveraging Physics-Informed Neural Networks (PINNs), this research examines the impact of various physical parameters and deep learning architectures on heat, mass, and microorganism density transfer <xref ref-type="bibr" rid="ref-9">[9–11]</xref>.</p>
<p>Ullah <xref ref-type="bibr" rid="ref-12">[12]</xref>, In their paper, the authors perform a numerical investigation into magnetic fluid flow along a vertical surface, focusing on the effects of variable viscosity and porous media on thermal management. Utilizing the Keller-box method, the research demonstrates how reduced gravity and porosity influence fluid velocity, heat transport, and magnetic flux in industrial heat exchanger applications <xref ref-type="bibr" rid="ref-8">[8]</xref>. Ashfag <xref ref-type="bibr" rid="ref-13">[13]</xref>, the authors examine the boundary layer flow over a moving horizontal surface in a nanofluid, accounting for viscous dissipation, flexible heating, and the presence of gyrotactic microorganisms. Utilizing the bvp4c solver in MATLAB, the study systematically evaluates the impact of temperature-dependent thermal conductivity and magnetic fields on enhancing heat transfer efficiency and the thermophysical properties of base fluids.</p>
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<sec id="sec-2"><label>2</label><title>Mathematical Formulation</title>
<p>The boundary-layer flow of the fluid under consideration passes over a semi-infinite body with a vertical wavy surface. The vertical wavy surface is described by</p>
<p>where denotes the wave amplitude and represents the wavelength. The wavy surface of the body is maintained at a constant temperature, which is higher than the ambient temperature . The free-stream velocity as well as the inlet velocity at the leading edge of the plate are both zero. <xref ref-type="fig" rid="fig1">Fig. 1</xref> illustrates the physical model and the corresponding coordinate system .The problem geometry is illustrated in the figure. In this coordinate system, x is defined along the wavy plates in the flow direction, and y is perpendicular to the flow. Furthermore, the fluid flow is assumed to be laminar, incompressible, steady, and two-dimensional. The effects of viscous dissipation are neglected. Consequently, considering the influence of thermal radiation, the governing equations are formulated as follows.</p>
<p>The corresponding boundary conditions for this system are given by In the above equations, denote the components of the fluid velocity vector in the directions, respectively; is the fluid density; is the pressure; epresents the specific heat capacity of the fluid at constant pressure; is the radiative heat flux; and denote the fluid temperature and the thermal expansion coefficient, respectively. The radiative heat flux, qr, in the y-direction is expressed using the Rosseland diffusion approximation as follows:</p>
<fig id="fig1"><label>Figure 1</label><caption><p>Physical model and coordinate system of the problem.</p></caption><graphic content-type="pdf-region" xlink:href="pdf-region:2:66,92.7,537.1,320.8"/><p content-type="note">This figure is shown in the PDF version of the article.</p></fig>
<p>where denote, respectively, the Stefan–Boltzmann constant, the Rosseland mean absorption coefficient, and the scattering coefficient. The limitations of the diffusion approximation must also be taken into account. This expression is valid in the interior regions, sufficiently far from the boundaries; however, it is not applicable in the vicinity of boundaries. Consequently, it is suitable for strongly absorbing media with a thick boundary-layer film. Therefore, it does not provide a complete description of the physical situation, since it does not include any radiation term at the boundary surface.</p>
<p>Using the Prandtl transformation to map the wavy surface onto a flat surface, as proposed by Yao <xref ref-type="bibr" rid="ref-14">[14]</xref>, the dimensionless variables employed for nondimensionalizing the governing equations are defined as follows:</p>
<p>By substituting the dimensionless variables given in Eq. (6) into Eqs. (1)–(5), we obtain:</p>
<p>where, in the above relation, the radiative conduction term (Planck number) and the surface heat term are defined as follows:</p>
<p>As can be observed from Eq. (9), the pressure gradient in the y -direction is nonzero , whereas the pressure gradient in the x-direction is obtained by solving the inviscid flow. In the present study, by neglecting the pressure gradient in the x -direction and eliminating the pressure term using Eqs. (9) and (10), the momentum equation can be reduced to a single equation. Therefore, we have:</p>
<p>Since point x =0 is a singular point, the following transformations are employed in order to remove this singularity:</p>
<p>By substituting Eq. (13) into Eqs. (7), (10), and (12), the final governing equations are obtained in the following form:</p>
<p>Subject to the following boundary conditions:</p>
<p>Accordingly, using Newton’s law of cooling and after applying the transformations, the following expressions for the local Nusselt number can be written as</p>
<p>Furthermore, the average Nusselt number is obtained using the following formula:</p>
<p>where</p>
<p>The friction coefficient is defined as follows:</p>
<p>where,</p>
<p>which represents the characteristic velocity. Therefore, the dimensionless form of the friction coefficient is expressed as follows.</p>
<sec id="sec-3"><label>2.1</label><title>Numerical Solution Method</title>
<p>The system of differential equations (14)–(16) is solved numerically using the Spline Alternating Direction Implicit (SADI) method <xref ref-type="bibr" rid="ref-9">[9]</xref>, <xref ref-type="bibr" rid="ref-15">[15]</xref>, subject to the prescribed boundary conditions. In the numerical procedure, the governing equations are initially treated as unsteady, and the time-marching process is continued until a steady-state solution is achieved. Furthermore, Eqs. (15) and (16) may be rewritten in the following generalized form:</p>
<p>where Iand denote the computational nodes, and n represents the time step . Substituting the first and second derivatives of (or your specific variable) with respect to y, denoted by m and M, respectively, into the governing equations. Furthermore, by employing the order reduction method <xref ref-type="bibr" rid="ref-9">[9]</xref>, Eq. (24) can be reformulated as follows:</p>
<p>Thus, the corresponding terms are replaced by their first- and second-order derivatives . It should be noted that Eq. (25) has a tridiagonal structure and can therefore be efficiently solved using the Thomas algorithm. The solution procedure is continued until the desired convergence criterion is satisfied. The convergence criterion is defined as follows.</p>
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</sec>
<sec id="sec-4"><label>5</label><title>Discussion</title>
<p>Since the cubic spline method does not require the use of a symmetric grid, and considering that the gradients of temperature and velocity exhibit larger variations near the wavy wall in the y direction as well as near the leading edge of the plate in the x direction, a finer grid is employed in the aforementioned regions. <xref ref-type="fig" rid="fig2">Figure 2</xref> illustrates the grid distribution used in the present study.</p>
<fig id="fig2"><label>Figure 2</label><caption><p>Computational grid distribution.</p></caption><graphic content-type="pdf-region" xlink:href="pdf-region:5:66,150.2,537.1,320.5"/><p content-type="note">This figure is shown in the PDF version of the article.</p></fig>
<p>One of the most important issues in numerical simulations is ensuring that the number of grid points is sufficient. In order to achieve an appropriate and adequate number of grid points, the computations are initially started with a suitable grid, and then the number of grid points is gradually increased such that, beyond a certain grid size, the effect of the mesh on the results becomes negligible. For the present problem, grid sizes of 250×100250, 300×150300, 400×200400, and 500×250500 are employed. The corresponding results, in terms of the Nusselt number and skin friction coefficient at various locations, are presented in <xref ref-type="table" rid="tab1">Table 1</xref>. The results indicate that the difference between the 400×200400and 500×250500 grids is less than 1% for 0.0, =10, =0.0. Furthermore, the present results are compared with those reported by Chiu and Chou <xref ref-type="bibr" rid="ref-11">[11]</xref> and Kumari et al. <xref ref-type="bibr" rid="ref-16">[16]</xref> in <xref ref-type="table" rid="tab2">Table 2</xref>.</p>
<table-wrap id="tab1"><label>Table 1</label><caption><p>Heat transfer coefficient and skin friction coefficient for different grid resolutions .</p></caption><graphic content-type="pdf-region" xlink:href="pdf-region:6:66,578.5,537.1,679.6"/><p content-type="note">This table is shown in the PDF version of the article.</p></table-wrap>
<table-wrap id="tab2"><label>Table 2</label><caption><p>Comparison of the local Nusselt number ,</p></caption><graphic content-type="pdf-region" xlink:href="pdf-region:6:66,458.9,537.1,555.3"/><p content-type="note">This table is shown in the PDF version of the article.</p></table-wrap>
<p><xref ref-type="fig" rid="fig3">Figs. 3</xref> and 4 illustrate the variations of the local Nusselt number and average Nusselt number for various radiation parameters. The results indicate that an increase in the radiation parameter leads to an enhancement in both local and average Nusselt numbers. This can be attributed to the intensified interaction of radiation within the thermal and hydraulic boundary layers as Rd increases; consequently, the fluid&apos;s heat absorption capacity is augmented, leading to an increase in flow velocity. <xref ref-type="fig" rid="fig5">Figs. 5</xref> and 6 present the temperature and velocity profiles for different values of Rd. It is observed that higher radiation values result in elevated temperature and velocity magnitudes. Furthermore, both thermal and momentum boundary layer thicknesses exhibit a slight increase. This phenomenon occurs because an increase in Rd enhances the velocity gradient, thereby accelerating the fluid flow. Accordingly, the velocity distribution is further promoted due to the enhanced heat absorption intensity of the fluid.</p>
<fig id="fig3"><label>Figure 3</label><caption><p>Variation of the local Nusselt number at various values of</p></caption><graphic content-type="pdf-region" xlink:href="pdf-region:6:66,147.8,537.1,292.7"/><p content-type="note">This figure is shown in the PDF version of the article.</p></fig>
<fig id="fig4"><label>Figure 4</label><caption><p>Variation of the average Nusselt number for various values of</p></caption><graphic content-type="pdf-region" xlink:href="pdf-region:7:66,634.6,537.1,780.3"/><p content-type="note">This figure is shown in the PDF version of the article.</p></fig>
<fig id="fig5"><label>Figure 5</label><caption><p>Temperature profiles and various values of at x=1.0.</p></caption><graphic content-type="pdf-region" xlink:href="pdf-region:7:66,449.8,537.1,602.9"/><p content-type="note">This figure is shown in the PDF version of the article.</p></fig>
<fig id="fig6"><label>Figure 6</label><caption><p>Velocity profiles and various values of at x=1.0.</p></caption><graphic content-type="pdf-region" xlink:href="pdf-region:7:66,274.3,537.1,420.1"/><p content-type="note">This figure is shown in the PDF version of the article.</p></fig>
<p>The heat transfer behavior is shown in <xref ref-type="fig" rid="fig7">Figs. 7</xref> and 8 for various values of the surface heat parameter and the local and average Nusselt numbers . It is evident that when the surface heat parameter increases, both the average and local Nusselt numbers rise.</p>
<p>The main cause of this improvement is the increase in surface temperature brought on by increased surface heat values, which exacerbates the temperature differential between the heated surface and the surrounding fluid. Higher local and average Nusselt numbers come from this strengthening of the convective heat transfer rate.</p>
<p>Additionally, the temperature and velocity profiles corresponding to different surface heat parameter values are shown in <xref ref-type="fig" rid="fig9">Figs. 9</xref> and 10. The findings show that both the fluid temperature and velocity fields are greatly increased by an increase in the surface heat parameter.</p>
<fig id="fig7"><label>Figure 7</label><caption><p>Variation of the local Nusselt number at various values of</p></caption><graphic content-type="pdf-region" xlink:href="pdf-region:8:66,562.8,537.1,726.8"/><p content-type="note">This figure is shown in the PDF version of the article.</p></fig>
<fig id="fig8"><label>Figure 8</label><caption><p>Variation of the average Nusselt number ( / ) at = . , = . , = . , and various values of</p></caption><graphic content-type="pdf-region" xlink:href="pdf-region:8:66,352.5,537.1,532.1"/><p content-type="note">This figure is shown in the PDF version of the article.</p></fig>
<fig id="fig9"><label>Figure 9</label><caption><p>Temperature profiles for = . , = . , = . , and various values of x=1.0.</p></caption><graphic content-type="pdf-region" xlink:href="pdf-region:8:66,169.3,537.1,320.2"/><p content-type="note">This figure is shown in the PDF version of the article.</p></fig>
<fig id="fig10"><label>Figure 10</label><caption><p>Velocity profile for various values of and x=1.0.</p></caption><graphic content-type="pdf-region" xlink:href="pdf-region:9:66,609.7,537.1,780.3"/><p content-type="note">This figure is shown in the PDF version of the article.</p></fig>
<p>Figs. 11-13 illustrate the variations of the local Nusselt number, average Nusselt number, and skin friction coefficient for different Prandtl numbers. The results indicate that the skin friction coefficient decreases as the Prandtl number increases. This behavior can be attributed to the fact that lower density enhances the sensitivity to buoyancy effects, which leads to more significant variations in the wall velocity gradient (see <xref ref-type="fig" rid="fig15">Fig. 15</xref>), thereby increasing the skin friction coefficient. On the other hand, an increase in the Prandtl number enhances the temperature gradient (see <xref ref-type="fig" rid="fig14">Fig. 14</xref>), resulting in higher local and average Nusselt numbers. Furthermore, as shown in <xref ref-type="fig" rid="fig14">Figs. 14</xref> and 15, both the thermal and velocity boundary layer thicknesses decrease with an increase in the Prandtl number.</p>
<fig id="fig12"><label>Figure 12</label><caption><p>Variation of the average Nusselt number for different Prandtl numbers.</p></caption><graphic content-type="pdf-region" xlink:href="pdf-region:9:66,312.6,537.1,455.5"/><p content-type="note">This figure is shown in the PDF version of the article.</p></fig>
<fig id="fig13"><label>Figure 13</label><caption><p>Variation of the skin friction coefficient for different Prandtl numbers.</p></caption><graphic content-type="pdf-region" xlink:href="pdf-region:9:66,129.5,537.1,280.8"/><p content-type="note">This figure is shown in the PDF version of the article.</p></fig>
<fig id="fig14"><label>Figure 14</label><caption><p>Temperature profiles for different Prandtl numbers at x=1.0.</p></caption><graphic content-type="pdf-region" xlink:href="pdf-region:10:66,608.3,537.1,779.1"/><p content-type="note">This figure is shown in the PDF version of the article.</p></fig>
<fig id="fig15"><label>Figure 15</label><caption><p>Velocity profiles for different Prandtl numbers at x=1.0.</p></caption><graphic content-type="pdf-region" xlink:href="pdf-region:10:66,430.8,537.1,578.5"/><p content-type="note">This figure is shown in the PDF version of the article.</p></fig>
<p>The fluctuations of the local Nusselt number, average Nusselt number, and skin friction coefficient for various wave amplitude values (α = 0.05, 0.10,0.20). The findings unequivocally show that raising the wave amplitude considerably lowers the skin friction coefficient as well as the local and average Nusselt values. Larger wave amplitudes physically exacerbate surface undulations, creating recirculation zones and flow separation close to the wavy wall. These events lower the temperature gradient at the wall and reduce the wall shear stress by thickening the thermal and hydrodynamic boundary layers. As a result, there is less convective heat transfer, which lowers Nusselt.</p>
<fig id="fig16"><label>Figure 16</label><caption><p>Variation of the local Nusselt number for various wave amplitude values.</p></caption><graphic content-type="pdf-region" xlink:href="pdf-region:10:66,124.8,537.1,293.2"/><p content-type="note">This figure is shown in the PDF version of the article.</p></fig>
<fig id="fig17"><label>Figure 17</label><caption><p>Variation of the skin friction coefficient for various wave amplitude values.</p></caption><graphic content-type="pdf-region" xlink:href="pdf-region:11:66,621.4,537.1,780.3"/><p content-type="note">This figure is shown in the PDF version of the article.</p></fig>
<fig id="fig18"><label>Figure 18</label><caption><p>Variation of the average Nusselt number for various wave amplitude values.</p></caption><graphic content-type="pdf-region" xlink:href="pdf-region:11:66,421.3,537.1,590.6"/><p content-type="note">This figure is shown in the PDF version of the article.</p></fig>
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<sec id="sec-5"><label>5</label><title>Conclusion</title>
<p>Free convection heat transfer across a vertical wavy surface with thermal radiation effects was examined numerically in this work. A Prandtl-type transformation was used to translate the wavy geometry onto a flat surface, and the cubic spline SADI approach was used to solve the governing equations. The findings show that by speeding the fluid and enhancing convective heat transport, raising the radiation parameter raises both local and average Nusselt numbers. Improved heat transfer rates result from higher surface heat, which also raises the temperature and velocity fields. By steepening the temperature gradient, raising the Prandtl number improves Nusselt numbers while marginally lowering skin friction.</p>
<p>On the other hand, because of flow separation and thicker boundary layers close to the wavy wall, bigger wave amplitudes decrease heat transmission and skin friction. These results offer useful advice. These results offer useful recommendations for the design of thermal systems with intricate surface geometries where natural convection and radiation play a major role.</p>
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<sec id="sec-6"><title>Conflict of Interest</title>
<p>The authors declare that there is no conflict of interest regarding the publication of this article.</p>
</sec>
<sec id="sec-7"><title>Data Availability</title>
<p>All data generated or analyzed during this study are included in this published article. No additional data are available.</p>
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<sec id="sec-8"><title>Funding</title>
<p>This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.</p>
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<sec id="sec-figures"><title>Figures</title>
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<fig><label>Figure</label><caption><p>Image from the PDF file; its caption could not be matched.</p></caption><graphic xlink:href="https://mtei.reapress.com/public/journals/1/jats-figures/76/fig-2-260c5560bcba.png"/></fig>
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