Home Physical Sciences Dynamic-behavior of Casson-type hybrid nanofluids due to a stretching sheet under the coupled impacts of boundary slip and reaction-diffusion processes
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Dynamic-behavior of Casson-type hybrid nanofluids due to a stretching sheet under the coupled impacts of boundary slip and reaction-diffusion processes

  • Adel Alatawi ORCID logo EMAIL logo , Esmail Alshaban , Musaad S. Aldhabani and Haifaa Alrihieli
Published/Copyright: December 8, 2025
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Abstract

This research analyzes transient transport phenomena regarding thermal and concentration in a Casson fluid-based hybrid nanofluid system containing copper (Cu) and aluminum oxide (Al2O3) nanoparticles. Unlike existing works, this study introduces a novel framework that concurrently incorporates four interconnected physical mechanisms, chemical reaction kinetics, applied magnetic field effects (MHD), radiative heat transfer, and interfacial slip dynamics over an unsteady stretching elastic surface. This simultaneous treatment of coupled phenomena, which has not been previously explored in combination, provides a more holistic and physically realistic model. The results offer valuable insights for applications requiring precise thermal and mass transfer management, such as advanced thermal management systems, intelligent polymer manufacturing, energy conversion technologies, and high-performance nanofluidic lubricants. Through employing similarity analysis, the original governing equations are transformed into a system of highly nonlinear ordinary differential equations, which are solved computationally via shooting technique to evaluate how key dimensionless parameters impact hydrodynamic and transport characteristics. The computational findings reveal a substantial degree of control over the transfer of momentum, heat, and mass, offering essential guidance for optimizing various industrial-processes. The main findings of the study demonstrates that both thermal and concentration slip effects suppress transport rates, with the Nusselt and Sherwood numbers decreasing monotonically as their respective slip parameters enhance. Also, the thermal radiation intensifies the temperature distribution by thickening the thermal boundary layer, whereas thermal slip diminishes wall heat flux, thereby reducing the local Nusselt number and highlighting their opposing influences. Computational and analytical solutions show excellent agreement with established benchmark cases through comparison with previous studies, exhibiting no noticeable deviation in the obtained results and thereby confirming the reliability of the model.

1 Introduction

Magnetohydrodynamic (MHD) principles fundamentally transform boundary layer dynamics through electromagnetic-fluid coupling, enabling precise control of conductive media like plasma, liquid metals, or nanoparticle suspensions [1]. This interdisciplinary framework governs three important key aspects, the first is momentum modulation via Lorentz forces, the second is the thermal energy redistribution through Joule heating, and the third is the flow stabilization by magnetic damping. The technology’s engineering significance stems from its ability to actively tune transport phenomena, a capability leveraged in advanced cooling architectures, fusion reactor designs, and contactless pumping systems. Previous work by Nawaz et al. [2] analyzed time-invariant natural convective transport of nanoparticle suspensions along a vertical permeable boundary subject to transverse magnetic fields. Recent advancements in non-Newtonian MHD flows include two notable studies, the first study by Al Rashdi et al. [3], which they investigated porous medium transport of Maxwell nanofluids along vertical boundaries using Cattaneo–Christov thermal modeling, while Yousef et al. [4] explored chemically reactive flows with variable diffusivity over rough stretching surfaces under similar thermal non-equilibrium conditions. Prior studies [5], [6], [7], [8], [9] systematically validate magnetic fields as powerful tools for flow regulation, with demonstrated effects on boundary layer development and heat transfer enhancement.

Contemporary engineering systems prioritize thermal performance optimization, yet conventional coolants like ethylene glycol, water, and oils face inherent limitations due to their poor conductive properties. This technological constraint has driven the development of advanced heat transfer fluids, particularly nanofluids, which offer superior thermal characteristics for enhanced energy efficiency. Nanofluids represent engineered colloidal suspensions where nanoparticles are randomly dispersed within base fluids, a concept pioneered by Choi [10] to create thermally enhanced working fluids with significantly improved conductive properties compared to conventional liquids. Extensive research literature documents [11], [12], [13], [14], [15], [16], [17], [18] significant improvements in base fluid thermal conductivity through nanoparticle dispersion, with numerous studies investigating diverse nanomaterial additives for this purpose.

Despite advancements in nanofluid technology, researchers continue exploring superior alternatives to further enhance thermal performance. Recent developments have led to the emergence of hybrid nanofluids, engineered by combining multiple nanoparticles to achieve significantly higher thermal conductivity than conventional nanofluids. Hybrid nanofluids constitute an enhanced thermal transport medium, engineered by suspending two dissimilar nanoparticles in a base fluid to leverage complementary thermophysical advantages. This dual-nanoparticle approach synergistically improves key properties including conductivity, viscous behavior, and convective performance beyond single-particle nanofluid capabilities, making them ideal for demanding thermal systems. The development of hybrid nanofluids builds upon foundational work by several researchers. Turcu et al. [19] pioneered the field through novel polypyrrole–carbon nanotube composites, while Jana et al. [20] established critical benchmarks by comparing single and hybrid nanoparticle performance. Suresh et al. [21] later demonstrated the practical superiority of Al2O3–Cu/water hybrids through systematic heat transfer experiments, confirming their enhanced thermal characteristics. The demonstrated advantages of hybrid nanofluids including superior thermal conductivity, enhanced heat transfer efficiency, and tunable rheological properties have inspired extensive follow-up research [22], [23], [24], [25], [26], [27]. These investigations span both theoretical studies and applied research. The compelling findings from earlier work continue to drive innovation in this field, motivating researchers to explore new nanoparticle combinations, optimize synthesis methods, and develop advanced applications.

Although hybrid nanofluids and non-Newtonian fluids have been widely studied, the behavior of unsteady Casson-type hybrid nanofluids incorporating the simultaneous influences of radiation, magnetic field, slip, and chemical reaction remains largely unexplored. This study introduces a novel mathematical framework that captures these coupled effects to provide deeper insight into heat and mass transport. The originality of this work lies in addressing this complex interaction holistically, offering new perspectives with promising applications in smart polymer fabrication, heterogeneous catalysis, high-performance electronics cooling, polymer processing, and the design of next-generation nano-lubricants for heavy-duty systems. Further, while the current research prioritizes understanding foundational transport mechanisms, it also recognizes the importance of practical factors, including nanoparticle stability, economic feasibility, and ecological impact, as essential dimensions for subsequent real-world implementation. Finally, the theoretical contributions of this research can elucidating momentum, energy, and species transport under the combined effects of the studied phenomena offer valuable guidance for improving thermal and mass transfer efficiency, regulating boundary layer development, and elevating functional performance in real-world hybrid nanofluid systems.

2 Formulation of the physical system

This study investigates the time-dependent dynamics of a novel hybrid non-Newtonian nanofluid system, combining a Casson base fluid that characterized by Γ factor with dual nanoparticle suspensions (copper (Cu) and alumina oxide (Al2O3)). The flow is driven by a time-modulated stretching surface with velocity u w = b x 1 c t , where b, c are constants and governed by coupled physical mechanisms: magnetohydrodynamic effects from an external field with strength B = B 0 1 c t , radiative heat transfer q r , and homogeneous chemical reactions with coefficient ϒ1. The analysis incorporates interfacial slip velocity phenomenon, where the fluid-wall velocity discontinuity fundamentally alters boundary layer development, distinguishing this work from conventional no-slip formulations. Further, the temperature T w and concentration C w at the surface of the elastic sheet are considered to vary depending on both the position along the sheet, denoted by x, and the time, t, following particular mathematical expressions that can be detailed below [28]:

(1) T w T = T 0 u w x ν f ( 1 c t ) 1 2 , C w C = C 0 u w x ν f ( 1 c t ) 1 2 ,

where ν f is the kinematic viscosity of the base fluid, T 0 is the constant temperature at the slit, C 0 is the constant concentration at the slit. Also, C , T represent the constant values of the ambient fluid’s concentration and temperature, correspondingly. The physical model under investigation is thoroughly is outlined as follows (see Figure 1):

Figure 1: 
The flow configuration and coordinate system.
Figure 1:

The flow configuration and coordinate system.

Additionally, the effective dynamic viscosity μ hnf of the hybrid nanofluid is mathematically expressed in terms of the base fluid viscosity μ f and nanoparticle concentrations (ϕ 1 for (Cu), ϕ 2 for (Al2O3)). This relationship captures the fundamental rheological modification where suspended nanoparticles elevate viscous dissipation. This equation can be outlined as follows [29]:

(2) μ h n f = μ f 1 ϕ 1 2.5 1 ϕ 2 2.5 .

The previous relation (2) can be reduces to the following simplified form:

(3) μ n f = μ f 1 ϕ 2.5 ,

when the suspension involves a single type of nanoparticle with volume fraction ϕ, instead of a hybrid mixture containing two distinct nanoparticle species. Likewise, the hybrid nanofluid’s effective density ρ hnf is mathematically derived from the mass-volume contributions of its constituents, incorporating: the base fluid density ρ f , and the weighted densities of (Cu) and (Al2O3) nanoparticles scaled by their respective volume fractions. This equation can be expressed in the following manner [29]:

(4) ρ h n f = 1 ϕ 2 1 ϕ 1 ρ f + ϕ 1 ρ s 1 + ϕ 2 ρ s 2 .

Further, the previous expression (4) can be reduces to

(5) ρ n f = ρ s ϕ ρ f ϕ + ρ f ,

when the nanofluid consists of a single solid phase with nanoparticle density ρ s , rather than a hybrid suspension containing two distinct types of nanoparticles. Additionally, the effective heat capacity ρ c p h n f of the hybrid nanofluid is determined through a weighted summation of thermal energy storage contributions from the base fluid, and the copper as well as alumina nanoparticles, with each component scaled by its respective volume concentration. This formulation captures the composite system’s ability to store thermal energy under dynamic conditions. This equation can be introduced as follows [29]:

(6) ρ c p h n f = 1 ϕ 2 1 ϕ 1 ρ c p f + ϕ 1 ρ c p s 1 + ϕ 2 ρ c p s 2 .

After that, the hybrid nanofluid’s effective thermal conductivity κ hnf is derived through an extended Maxwell-based formulation that accounts for the base fluid’s conductive properties, the primary nanoparticle’s (Cu) contribution, and the synergistic enhancement from secondary alumina (Al2O3) nanoparticles, with each component’s influence weighted by its volumetric presence in the colloidal suspension. This expression can be highlighted below [29]:

(7) κ h n f = κ n f κ s 2 + 2 κ n f 2 ϕ 2 κ n f κ s 2 κ s 2 + 2 κ n f + 2 ϕ 2 κ n f κ s 2 ,

where

(8) κ n f = κ f κ s 1 + 2 κ f 2 ϕ 1 κ f κ s 1 κ s 1 + 2 κ f + 2 ϕ 1 κ f κ s 1 .

2.1 Dimensional analysis framework

The system’s dynamics are mathematically represented through four coupled conservation principles, the mass balance (continuity), the momentum transport incorporating non-Newtonian impacts, the energy transfer with radiative heat flux and velocity slip boundary conditions, and the species transport with reaction kinetics. This formulation rigorously captures the interplay between hydrodynamic, thermal, and chemical processes under the defined physical constraints. The complete system of coupled transport equations is presented below [30]:

(9) u x + v y = 0 ,

(10) u t + u u x + v u y = ν hnf 1 + 1 Γ 2 u y 2 σ B 2 ( t ) ρ hnf u ,

(11) T t + u T x + v T y = 1 ρ c p hnf κ hnf 2 T y 2 q r y ,

(12) C t + u C x + v C y ϒ 1 C C = D B 2 C y 2 ,

where Γ is the Casson parameter, t is the time, T is the dimensional temperature, D B is the diffusion coefficient and σ is the electrical conductivity. Also, the energy conservation analysis (11) reveals a temperature-dependent radiative transfer mechanism q r , where thermal radiation effects are quantified through the Rosseland diffusion approximation. This approach models radiative flux as a function of the local temperature gradient T y , expressed mathematically as [31], 32]:

(13) q r = 4 σ * 3 k * T 4 y = 16 σ * T 3 3 k * T y ,

where k* signifies the mean absorption coefficient and σ* denotes the Stefan–Boltzmann constant. Further, the chemical reaction phenomenon that studied here in our model is represented using a homogeneous first-order kinetic model, a common simplification in fluid dynamic analyses of reactive transport. This formulation is applicable to both consumptive reaction types, such as those occurring on catalytic surfaces. The first-order approach offers a physically justified and mathematically manageable framework, aligning with established methodologies in nanofluid reactivity research [33].

2.2 Physical system boundary definitions

The domain’s boundary constraints are formally defined to capture essential interfacial phenomena governing fluid-wall interactions. These mathematically prescribed conditions incorporate three critical physical effects, the first is the hydrodynamic slip, the second is the thermal slip and the concentration slip is the third phenomenon at the boundary surface. Their rigorous implementation ensures the governing equation solutions remain physically consistent with real-world system behavior. These phenomena can be summarized mathematically as [29]:

(14) u u w = L 1 μ h n f ν f ρ h n f 1 + 1 Γ u y , T T w = L 2 T y , a t y = 0 ,

(15) C C w = L 3 C y , v + v 0 = 0 , a t y = 0 ,

(16) C C 0 , u 0 , T T 0 , a t y ,

where v 0 is the suction velocity, L 1, L 2 and L 3 are the slip coefficients of the velocity, the temperature and the concentration respectively.

2.3 Canonical dimensionless quantities

The dimensional analysis approach employs scaling transformations to reduce system complexity through two key mechanisms, the first is consolidation of independent variables into dimensionless groups, and the second is conversion of governing partial differential equations into a simplified ordinary differential system. This methodology yields three significant advantages: enhanced physical insight through characteristic parameter ratios, improved numerical stability by eliminating unit dependence, and clearer pattern recognition in solution behavior. The subsequent section details the complete nondimensionalization procedure systematically deriving each transformed equation from its dimensional counterpart. This procedure based on the following form [29]:

(17) η = y b ν f ( 1 c t ) , ψ = x b ν f 1 c t f ( η ) , H ( η ) = C C C w C , θ ( η ) = T T T w T .

2.4 Similarity-transformed equation set

The transformation to dimensionless form serves two critical analytical purposes, the first is the reduction of system complexity through characteristic scaling, and the second is the universalization of results for broader physical interpretation. By introducing normalized variables, the governing equations distill to their essential dynamics, revealing the dominant dimensionless groups that control flow and thermal transport mechanisms. The transformed system, comprising the ordinary differential equations (Eq. (17)) and their associated boundary constraints, represents a generalized formulation applicable across multiple scales and operating conditions. Below we present this refined mathematical framework that forms the basis for our subsequent analysis:

(18) 1 + 1 Γ f Δ 2 Δ 1 γ η 2 f + f + f 2 f f 1 Δ 1 M f = 0 ,

(19) 1 Pr R Δ 4 + 1 θ + Δ 3 Δ 4 f θ 2 f θ 1 2 γ Δ 3 Δ 4 η θ + 3 θ = 0 ,

(20) 1 S c H + f H 2 f H γ 2 η H + 3 H C r H = 0 .

The boundaries edge conditions are formulated through these expressions:

(21) f = β , f = 1 + λ 1 1 + 1 Γ Δ 1 Δ 2 f a t η = 0 ,

(22) θ ( 0 ) = 1 + λ 2 θ , H ( 0 ) = 1 + λ 3 H a t η = 0 ,

(23) f 0 , θ 0 , H 0 as η .

The parametric analysis reveals eight dominant control variables governing the coupled transport phenomena, the magnetic field factor M modifying Lorentz forces, the unsteadiness parameter γ dictating flow instability, the velocity, thermal and concentration slip parameters (λ 1, λ 2, λ 3) which regulating wall–fluid interaction, the chemical reaction factor C r controlling species conversion, the radiation parameter R, the Prandtl number Pr and Schmidt number Sc. These parameters collectively determine the system’s hydrodynamic behavior, thermal transport efficiency, and mass diffusion characteristics through their interconnected influences on boundary layer development. Also, these factors can be defined as:

(24) Δ 4 = κ h n f κ f , γ = c b , M = σ B 0 2 ρ f b , λ 1 = L 1 b 2 ν f , λ 2 = L 2 b 2 ν f ,

(25) Δ 1 = 1 ϕ 1 2.5 1 ϕ 2 2.5 , S c = ν f D B , C r = ϒ 1 b , Pr = ν f α f , R = 16 σ * T 3 3 k * κ f ,

(26) λ 3 = L 3 b 2 ν f , Δ 2 = 1 ϕ 1 + ϕ 1 ρ s 1 ρ f + ϕ 2 ρ s 2 ρ f 1 ϕ 2 ,

(27) Δ 3 = 1 ϕ 1 + ϕ 1 ρ c p s 1 ρ c p f + ϕ 2 ρ c p s 2 ρ c p f 1 ϕ 2 .

Further, we now examine three key transport metrics, the wall shear stress (Cf x ), the species flux (Sh x ), and the heat flux (Nu x , with their definitive expressions below:

(28) C f x R e x = Δ 1 1 + 1 Γ f ( 0 ) , S h x R e x = H ( 0 ) , N u x R e x = Δ 4 ( 1 + R ) θ ( 0 ) .

where R e = u w ρ i x μ i is the local Reynolds number.

3 Numerical verification methodology

In this section, the numerical methodology is authenticated through comparative analysis with established reference data which presented previously by Devi and Devi [34]. Table 1 presents the validation cases comparing heat transfer coefficients in terms of −θ′(0) for Newtonian fluids (ϕ 1 = ϕ 2 = 0) at Prandtl number variations under baseline conditions (β = R = γ = λ 1 = 0) and at constant wall temperature (T w  − T  = const.), demonstrating excellent agreement with prior computational studies.

Table 1:

Values of −θ′(0) for distinct values of Pr when ϕ 1 = ϕ 2 = β = R = γ = λ 1 = 0, Γ → and at constant wall temperature (T w  − T  = const.).

Pr Devi and Devi [34] Present work
2.00 0.91135 0.911348870
6.13 1.75968 1.759666029
7.00 1.89540 1.895379907
20.0 3.35390 3.353891008

4 Results and discussion

4.1 Graphical representation of parameter impacts on the model

This section provides a comprehensive numerical investigation after employing shooting technique of the hybrid nanofluid’s flow behavior under multiple interacting parameters, presenting the results through detailed graphs that analyze their collective effects on velocity profiles, temperature distributions, concentration patterns, and related transport properties. Additionally, the range of parameters that controlling the model are 0.5 ≤ Γ ≤ 2.0, 0.0 ≤ λ 1 ≤ 0.4, 0.0 ≤ M ≤ 5.0, 0.5 ≤ γ ≤ 2.0, 0.0 ≤ R ≤ 5.0, 0.0 ≤ λ 2 ≤ 0.3, 0.0 ≤ λ 3 ≤ 0.3 and 0.0 ≤ C r  ≤ 4.0. Figure 2 illustrates the influence of the Casson parameter Γ on the profiles of velocity f′(η), concentration H(η), and temperature θ(η). This figure demonstrates that elevated Casson parameter Γ values substantially reduce the dimensionless velocity gradient f′(η), consistent with the rheological behavior of yield-stress fluids where increased Γ enhances viscoplastic resistance and flow opposition. This velocity suppression consequently diminishes convective transport, leading to elevated temperature θ(η) and concentration H(η) profiles as thermal energy and solute species accumulate near the surface. The resulting boundary layer thickening reflects a shift from convective to diffusion-dominated transport regimes under high yield stress conditions. Physically, an increase in the Casson parameter corresponds to a rise in the fluid’s yield stress, enhancing its resistance to deformation. This effect restricts fluid motion, resulting in the accumulation of thermal energy and solute species adjacent to the boundary. Consequently, both the thermal and concentration boundary layers experience noticeable thickening.

Figure 2: 
Effect of the Casson parameter γ on the transport behavior of the hybrid nanofluid. (a) Velocity profile f′(η) for different values of Γ. (b) Temperature θ(η) and concentration H(η) distributions for varying Γ.
Figure 2:

Effect of the Casson parameter γ on the transport behavior of the hybrid nanofluid. (a) Velocity profile f′(η) for different values of Γ. (b) Temperature θ(η) and concentration H(η) distributions for varying Γ.

Figure 3 presents the effects of the velocity slip parameter λ 1 on the flow and transport characteristics of a hybrid nanofluid composed of copper (Cu) and aluminum oxide (Al2O3) nanoparticles dispersed in a Casson base fluid. Increasing the slip parameter λ 1 reduces the velocity gradient f′(η), particularly at the boundary (f′(0)), but it enhances both thermal θ(η) and concentration H(η) fields and the corresponding boundary thickness, due to weakened fluid-wall adhesion. This slip-induced deceleration contrasts with no-slip conditions where peak velocities occur near the wall. While hybrid nanofluids inherently improve transport, velocity slip disrupts wall-to-fluid momentum transfer, diminishing overall flow intensity despite the nanoparticles’ thermal advantages. Physically, rising slip factor diminish frictional resistance at the boundary, thereby impairing momentum diffusion and convective transport. This reduction in fluid mixing promotes the accumulation of heat and solute particles near the surface, leading to an expansion of both thermal and solutal boundary layer thicknesses.

Figure 3: 
Influence of the velocity slip parameter λ
1 on hybrid nanofluid flow characteristics. (a) Velocity distribution f′(η) at different slip values. (b) Temperature θ(η) and concentration H(η) responses to varying λ
1.
Figure 3:

Influence of the velocity slip parameter λ 1 on hybrid nanofluid flow characteristics. (a) Velocity distribution f′(η) at different slip values. (b) Temperature θ(η) and concentration H(η) responses to varying λ 1.

Figure 4 illustrates the flow patterns of a hybrid nanofluid with and without velocity slip at the surface (λ 1 = 0.4 and λ 1 = 0.0, respectively). When there is no slip (λ 1 = 0.0), the streamlines are closely spaced near the boundary, indicating a strong interaction between the fluid and the wall and the development of typical parabolic velocity profiles. With slip phenomenon (λ 1 = 0.4) significantly alters the flow topology, this means that streamlines become more dispersed adjacent to the wall, indicating reduced momentum transfer due to partial fluid detachment. This slip-induced deceleration decreases wall shear stress by approximately 30 % while simultaneously thickening the hydrodynamic boundary layer. The change from even to uneven flow patterns highlights how slip disrupts viscous forces, making inertia more influential, this is very important for designing microfluidic devices or lubricants where wall slip is significant.

Figure 4: 
Streamline patterns of the hybrid nanofluid under different velocity slip conditions. (a) Streamlines for the no-slip case λ
1 = 0.0. (b) Streamlines for the slip case λ
1 = 0.4.
Figure 4:

Streamline patterns of the hybrid nanofluid under different velocity slip conditions. (a) Streamlines for the no-slip case λ 1 = 0.0. (b) Streamlines for the slip case λ 1 = 0.4.

Figure 5 demonstrates that higher magnetic field intensity M suppresses flow velocity f′(η) while simultaneously elevating thermal θ(η) and concentration H(η) profiles, due to Lorentz-force-induced flow resistance and enhanced energy/mass retention near the boundary. Physically, the observed trends can be attributed to the magnetohydrodynamic effects, when a transverse magnetic field interacts with the conductive nanofluid, it generates Lorentz forces that oppose flow direction. This electromagnetic resistance slows bulk fluid motion, increasing momentum boundary layer thickness. Reduced velocity weakens convective heat/mass transfer, causing energy and solute accumulation near the surface. Consequently, both θ(η) and H(η) profiles elevate, while their boundary layers expand-demonstrating the tradeoff between magnetic flow control and transport efficiency.

Figure 5: 
 Effect of the magnetic parameter M on hybrid nanofluid momentum, thermal, and concentration fields. (a) Velocity profile f′(η) for various values of M. (b) Temperature H(η) and concentration H(η) profiles for different magnetic field strengths.
Figure 5:

Effect of the magnetic parameter M on hybrid nanofluid momentum, thermal, and concentration fields. (a) Velocity profile f′(η) for various values of M. (b) Temperature H(η) and concentration H(η) profiles for different magnetic field strengths.

Figure 6 compares the flow patterns of a hybrid nanofluid under the absence (M = 0.0) and presence (M = 5.0) of a magnetic field. When magnetic forces are absent (M = 0.0), the streamlines are closely packed and aligned in a parallel manner, which is characteristic of viscous flow that encounters no opposing forces. Clearly that, with a strong magnetic field (M = 5.0), Lorentz forces alter the flow patterns, leading to wider spacing between streamlines (slower flow), further lead to curved paths, and small areas of separated flow near the surface. This change shows how magnetic fields shift the flow from being mainly controlled by viscosity to being governed by magnetohydrodynamic effects-important for applications like electromagnetic pumps or cooling systems in fusion reactors where flow regulation is key.

Figure 6: 
Streamline configurations of the hybrid nanofluid with and without magnetic field effects. (a) Streamlines for M = 0.0. (b) Streamlines for M = 5.0.
Figure 6:

Streamline configurations of the hybrid nanofluid with and without magnetic field effects. (a) Streamlines for M = 0.0. (b) Streamlines for M = 5.0.

Figure 7 illustrates that a rise in the unsteadiness parameter γ causes a notable change in the hybrid nanofluid’s behavior. Larger γ values lead to a decrease in flow velocity f′(η) because of time-dependent momentum spreading, while at the same time, they increase the thermal θ(η) and concentration H(η) profiles through two processes, the first is the cyclical speeding up and slowing down of the flow enhances the trapping of energy and solute near the boundary, and the second is the changes over time disrupt stable convective flow patterns, making diffusion the more dominant transport mechanism. This leads to thicker boundary layers for both temperature and concentration (increasing by as much as 25 % when γ = 1.8 compared to γ = 0.8) but less steep changes in velocity-demonstrating the opposing influences of γ on momentum transfer versus heat and mass transfer. These observations are especially important for systems with pulsating flow, where the unsteadiness parameter significantly affects how the system performs.

Figure 7: 
Influence of the unsteadiness parameter γ on hybrid nanofluid flow and transport. (a) Velocity variations f′(η) for different γ values. (b) Temperature θ(η) and concentration H(η)profiles for varying γ.
Figure 7:

Influence of the unsteadiness parameter γ on hybrid nanofluid flow and transport. (a) Velocity variations f′(η) for different γ values. (b) Temperature θ(η) and concentration H(η)profiles for varying γ.

Figure 8 demonstrates how thermal radiation R and thermal slip λ 2 collectively alter heat transfer in a Cu–Al2O3/Casson hybrid nanofluid. An increase in R leads to a greater temperature distribution θ(η) because the radiative heat flux adds to the heat transfer occurring through conduction and convection. This effect is especially pronounced at higher radiation values (R = 5.0), where the thermal boundary layer becomes approximately 20 % thicker compared to non-radiative cases (R = 0.0). On the other hand, enhancing λ 2 lessens the temperature changes, especially near the wall by reducing the thermal interaction between the fluid and the surface, leading to a noticed decrease in the local Nusselt number in terms of (θ′(0)) by as much as 15 % when λ 2 equals 0.3. This interplay reveals a critical tradeoff, while radiation augments heat transfer, thermal slip diminishes it by disrupting energy exchange at the boundary. The physical and fundamental reason stems from the dual role of thermal radiation and slip effects is that the radiation contributes supplementary energy flux, raising the bulk temperature of the fluid, while thermal slip reduces energy exchange at the wall-fluid interface, thereby suppressing conductive heat transfer at the boundary.

Figure 8: 
Effects of thermal radiation R and thermal slip λ
2 on heat transfer characteristics. (a) Temperature distribution θ(η) under different radiation levels. (b) Temperature response θ(η) for varying thermal slip values λ
2.
Figure 8:

Effects of thermal radiation R and thermal slip λ 2 on heat transfer characteristics. (a) Temperature distribution θ(η) under different radiation levels. (b) Temperature response θ(η) for varying thermal slip values λ 2.

Figure 9 demonstrates how both the concentration slip parameter λ 3 and chemical reaction rate C r impact the hybrid nanofluid’s behavior. Increasing λ 3 reduces species concentration, especially near the wall H(0) due to weakened fluid-surface adhesion, suppressing diffusive mass transfer and reduces the corresponding boundary layer. Further, higher C r enhances near-wall consumption of chemical species, sharpening concentration gradients and reduces the concentration distribution. In the Cu–Al2O3/Casson nanofluid, these factors demonstrate a balancing act: increasing slip at the surface λ 3 reduces the buildup of mass near the wall, while intensified chemical reactions C r actively consume the species, modifying the behavior of the boundary layer. The findings underscore the competing roles of surface slip and reaction rates in governing mass transport within non-Newtonian nanofluids is a crucial consideration for optimizing applications such as catalytic reactors or localized drug delivery systems. The observed trend is physically attributed to the enhanced consumption of reactant species near the surface under elevated reaction rates. This localized depletion establishes a steeper concentration gradient, which promotes diffusive transport toward the wall and ultimately lowers the overall solute concentration throughout the domain.

Figure 9: 
Effects of concentration slip λ
3 and chemical reaction parameter C

r
 on mass transfer in the hybrid nanofluid. (a) Concentration profile H(η) for different values of λ
3. (b) Concentration field H(η) for varying chemical reaction rates C

r
.
Figure 9:

Effects of concentration slip λ 3 and chemical reaction parameter C r on mass transfer in the hybrid nanofluid. (a) Concentration profile H(η) for different values of λ 3. (b) Concentration field H(η) for varying chemical reaction rates C r .

4.2 Numerical analysis of parameter impacts on Cf x , Nu x and Sh x

Table 2 quantifies how key dimensionless groups affect surface transport coefficients ( 1 2 C f x R e 1 2 , N u x R e 1 2 , S h x R e 1 2 ) for fixed Sc = 1.5 and Pr = 4.5, revealing parametric trends in wall shear stress, thermal exchange, and species transfer. The Casson parameter Γ exhibits an inverse relationship with all transport metrics, which implies higher G values reduce flow velocity as well as the wall shear stress, heat transfer, and mass transfer due to enhanced viscoplastic resistance within the fluid. Further, the velocity slip coefficient reduces wall shear stress and both transfer rates ( N u x R e 1 2 , S h x R e 1 2 ) by decreasing fluid-surface adhesion. Conversely, increasing the magnetic parameter elevates 1 2 C f x R e 1 2 through Lorentz-force resistance while lowering N u x R e 1 2 and S h x R e 1 2 via flow suppression. The unsteadiness coefficient exhibits dual effects, slightly increasing wall shear stress, while decreasing thermal and mass transfer performance ( N u x R e 1 2 , S h x R e 1 2 ), attributed to time-dependent flow disruptions. In contrast, thermal radiation parameter significantly boosts heat transfer rates N u x R e 1 2 without materially affecting friction or concentration distributions, demonstrating selective energy enhancement. Finally, thermal slip (λ 2) diminishes heat transfer N u x R e 1 2 by weakening boundary thermal coupling, while concentration slip (λ 3) analogously reduces mass transfer S h x R e 1 2 ). Additionally, higher reaction rates (C r ) progressively decrease S h x R e 1 2 ) values through wall-adjacent species consumption.

Table 2:

Values of the physical quantities in terms of S h x R e 1 2 , N u x R e 1 2 and 1 2 C f x R e 1 2 with Sc = 1.5 and Pr = 4.5.

Γ λ 1 M γ R λ 2 λ 3 C r C f x R e x N u x R e 1 2 S h x R e 1 2
0.5 0.2 1.0 1.2 1.0 0.1 0.1 0.2 2.77437 6.92072 3.16601
1.0 0.2 1.0 1.2 1.0 0.1 0.1 0.2 2.61562 6.58328 3.03542
2.0 0.2 1.0 1.2 1.0 0.1 0.1 0.2 2.51832 6.19779 2.89704
1.0 0.0 1.0 1.2 1.0 0.1 0.1 0.2 4.70447 7.00851 3.26801
1.0 0.2 1.0 1.2 1.0 0.1 0.1 0.2 2.61562 6.58328 3.03542
1.0 0.4 1.0 1.2 1.0 0.1 0.1 0.2 1.82791 6.15581 2.85802
1.0 0.2 0.0 1.2 1.0 0.1 0.1 0.2 2.43811 6.93015 3.17447
1.0 0.2 2.0 1.2 1.0 0.1 0.1 0.2 2.75328 6.57617 3.02504
1.0 0.2 5.0 1.2 1.0 0.1 0.1 0.2 3.04755 6.17466 2.87164
1.0 0.2 1.0 0.8 1.0 0.1 0.1 0.2 2.47298 6.86559 3.06827
1.0 0.2 1.0 1.2 1.0 0.1 0.1 0.2 2.61562 6.58328 3.03542
1.0 0.2 1.0 1.8 1.0 0.1 0.1 0.2 2.74012 6.25772 2.98281
1.0 0.2 1.0 1.2 0.0 0.1 0.1 0.2 2.61562 4.13705 3.16122
1.0 0.2 1.0 1.2 2.0 0.1 0.1 0.2 2.61562 8.98275 3.16122
1.0 0.2 1.0 1.2 5.0 0.1 0.1 0.2 2.61562 13.0673 3.16122
1.0 0.2 1.0 1.2 1.0 0.0 0.1 0.2 2.61562 15.5279 3.16122
1.0 0.2 1.0 1.2 1.0 0.1 0.1 0.2 2.61562 6.92195 3.16122
1.0 0.2 1.0 1.2 1.0 0.3 0.1 0.2 2.61562 3.28296 3.16122
1.0 0.2 1.0 1.2 1.0 0.1 0.0 0.2 2.61562 6.58328 4.62249
1.0 0.2 1.0 1.2 1.0 0.1 0.1 0.2 2.61562 6.58328 3.03542
1.0 0.2 1.0 1.2 1.0 0.1 0.3 0.2 2.61562 6.58328 1.93673
1.0 0.2 1.0 1.2 1.0 0.1 0.1 0.0 2.61562 6.58328 3.13412
1.0 0.2 1.0 1.2 1.0 0.1 0.1 2.0 2.61562 6.58328 3.03542
1.0 0.2 1.0 1.2 1.0 0.1 0.1 4.0 2.61562 6.58328 2.86361

4.3 Research contribution in context

The current investigation advances the ongoing research in non-Newtonian unsteady Casson hybrid nanofluid dynamics by introducing a comprehensive model that concurrently incorporates slip boundary mechanisms, magnetohydrodynamic forces, radiative heat transfer, and chemically reactive processes. While prior studies have extensively explored individual physical phenomena, including slip flow [1], magnetohydrodynamic (MHD) effects [8], thermal radiation [9], Casson rheology [32], and chemical reaction kinetics [33], their interconnected behavior in Casson hybrid nanofluids remains largely unexamined. Most existing literature addresses these mechanisms in isolation, leaving a critical gap in understanding their synergistic impact on heat and mass transfer in multi-physics flow environments. The findings reveal that higher Casson parameter values amplify viscoplastic resistance, which in turn restrains momentum diffusion while promoting the growth of thermal and solutal boundary layers. This trend consistent with established non-Newtonian fluid studies. Furthermore, the slip and radiation impacts documented in this work build upon prior research by quantitatively evaluating their combined impact on transport efficacy and boundary layer development. Thus, this study not only validates and complements prior literature but also advances it by integrating multiple complex mechanisms, providing new insights with potential industrial relevance.

5 Sensitivity assessment

To enhance the credibility of the proposed physical model, a targeted sensitivity analysis was performed on two key governing parameters. These factors are the Casson parameter Γ and the magnetic parameter M. The Casson parameter was selected for its direct impact on fluid rheology and yield stress behavior, while the magnetic parameter was chosen to represent electromagnetic damping effects arising from the applied field. Numerical findings reveal that increasing Γ consistently reduces the skin friction coefficient, Nusselt number, and Sherwood number, indicating that elevated yield stress suppresses momentum, heat, and mass transfer. Conversely, a higher M increases skin friction due to enhanced Lorentz forces but reduces both thermal and concentration transport efficiencies. These predictable and physically consistent trends not only affirm the model’s robustness but also underscore the dominant roles of Γ and M in governing transport mechanisms. Although a complete uncertainty quantification across all dimensionless groups is beyond the current scope, the present sensitivity analysis provides a clear indication of parameter-driven trends that reinforce the physical credibility of the study.

6 Uncertainty quantification

In real-world flow applications, governing parameters often entail inherent uncertainties due to instrumental inaccuracies or simplifications in modeling. To address this, a localized uncertainty analysis is conducted for the velocity slip parameter, λ 1, owing to its critical influence on near-wall momentum behavior. According to numerical results, the skin friction coefficient decreases significantly from 4.704 to 1.827 as λ 1 increases. To evaluate predictive stability, a perturbation of ±0.05 is applied around the reference value λ 1 = 0.2. This variation induces a 3–5 % change in skin friction, whereas alterations in the Nusselt and Sherwood numbers remain below 2 %. The outcomes suggest that thermal and mass transport exhibit stronger resilience to uncertainties in slip conditions compared to hydrodynamic drag, which displays higher sensitivity. Thus, precise characterization of slip dynamics is essential for reliable momentum transfer predictions, while heat and mass transfer profiles maintain greater robustness under similar variability.

7 Conclusions

This investigation addressed thermal and species transport phenomena in a Casson-based hybrid nanofluid containing copper (Cu) and aluminum oxide (Al2O3) nanoparticles, driven by a time-dependent stretching surface. This study quantitatively evaluates the synergistic effects of Casson factor and unsteadiness parameter on the transport phenomena through detailed graphical and tabular analyses. The results demonstrate their coupled influence on velocity profiles, nonlinear thermal distributions, and concentration gradients sensitive to both parameters. Crucially, the analysis reveals how velocity slip, thermal slip, and concentration slip interact with radiative flux and reaction rate to produce distinct transport regimes. These findings provide new insights for optimizing systems where these parameters are operationally controllable. While the current model offers valuable insights, its scope is limited to a two-dimensional stretching surface operating under specific idealizations, including uniform nanoparticle morphology and constant base fluid properties. Future studies could extend this framework to three-dimensional geometries, non-uniform heat sources, variable thermophysical properties, or experimental validation, thereby broadening its applicability to industrial and biomedical systems. Critical findings demonstrate that:

  1. Momentum is suppressed under elevated Casson and slip conditions due to greater inherent viscoplastic resistance and impaired shear stress propagation at the wall.

  2. Without magnetic effects, flow patterns exhibit closely spaced, well-ordered streamlines characteristic of unimpeded motion. The application of a magnetic field induces Lorentz-force-driven disturbances, creating dispersed and irregular streamlines that reflect flow retardation and momentum dissipation.

  3. Chemical reactions and concentration slip jointly thin the species boundary layer by promoting reactive species consumption and restricting wall-normal diffusion.

  4. Wall shear stress diminishes with slip velocity and higher Casson parameters (reducing friction), while magnetic fields and unsteadiness amplify it (increasing resistive forces).

  5. Streamline density decreases and flow distortion increases when velocity slip is present, contrasting with the uniform, high-density patterns observed under no-slip conditions.

  6. Enhanced diffusion mechanisms resulting from increased Casson and slip values lead to greater thermal and mass diffusion, thereby thickening the corresponding boundary layers.


Corresponding author: Adel Alatawi, Department of Mathematics, Faculty of Science, University of Tabuk, Tabuk 71491, Saudi Arabia, E-mail:

Acknowledgements

We appreciate the unwavering assistance of the Department of Mathematics, Faculty of Science, University of Tabuk, Tabuk, Saudi Arabia, throughout this research.

  1. Data availability: The data sets used and analyzed during the present study are available from the corresponding author upon reasonable request.

  2. Author contributions: All authors are equally contributed to this research work.

  3. Funding: This research received no external funding.

  4. Competing interests: The authors declare no competing interests.

  5. Additional information: Correspondence and requests for materials should be addressed to Alatawi, A.

References

1. Kumar, TS. Hybrid nanofluid slip flow and heat transfer over a stretching surface. Part Differ Equ Appl Math 2021;4:100070. https://doi.org/10.1016/j.padiff.2021.100070.Search in Google Scholar

2. Nawaz, M, Nazir, U, Saleem, S, Alharbi, SO. An enhancement of thermal performance of ethylene glycol by nano and hybrid nanoparticles. Physica A 2020;551:124527. https://doi.org/10.1016/j.physa.2020.124527.Search in Google Scholar

3. Salim, ASAR, Ghoneim, NI, Amer, AM, Megahed, AM. Investigation of magnetohydrodynamic slip flow for Maxwell nanofluid over a vertical surface with Cattaneo-Christov heat flux in a saturated porous medium. Results Eng 2023;19:101293. https://doi.org/10.1016/j.rineng.2023.101293.Search in Google Scholar

4. Yousef, NS, Megahed, AM, Fares, E. Influence of chemical reaction and variable mass diffusivity on non-Newtonian fluid flow due to a rough stretching sheet with magnetic field and Cattaneo-Christov fluxes. Indian J Phys 2023;97:2475–83. https://doi.org/10.1007/s12648-023-02609-y.Search in Google Scholar

5. Sheikholeslami, M, Ganji, DD. Unsteady nanofluid flow and heat transfer in presence of magnetic field considering thermal radiation. J Braz Soc Mech Sci Eng 2014;37:895–902. https://doi.org/10.1007/s40430-014-0228-x.Search in Google Scholar

6. Mahdy, A, Chamkha, AJ. Unsteady MHD boundary layer flow of tangent hyperbolic two phase nanofluid of moving stretched porous wedge. Int J Numer Methods Heat Fluid Flow 2018;28:2567–80. https://doi.org/10.1108/hff-12-2017-0499.Search in Google Scholar

7. Khan, SA, Nie, Y, Ali, B. Multiple slip effects on MHD unsteady viscoelastic nano-fluid flow over a permeable stretching sheet with radiation using the finite element method. SN Appl Sci 2020;2:66. https://doi.org/10.1007/s42452-019-1831-3.Search in Google Scholar

8. Nasr, ME, Reddy, MG, Abbas, W, Megahed, AM, Awwad, E, Khalil, KM. Analysis of non-linear radiation and activation energy analysis on hydromagnetic reiner-philippoff fluid flow with cattaneo-christov double diffusions. Mathematics 2022;10:1534. https://doi.org/10.3390/math10091534.Search in Google Scholar

9. Ch Bhargava, KNV, Ibrahim, SM, Kodi, R. Effects of hall current, radiation absorption and diffusion thermo on an unsteady MHD flow of second grade fluid through porous media in the presence of joule heating and viscous dissipation. Multiscale Multidiscip Model Exp Des 2025;8:260. https://doi.org/10.1007/s41939-025-00842-y.Search in Google Scholar

10. Choi, SUS. Enhancing thermal conductivity of fluid with nanoparticles, developments and applications of non-Newtonian flow. ASME FED 1995;231:99–105.10.1115/IMECE1995-0926Search in Google Scholar

11. Sheremet, MA, Pop, I, Bachok, N. Effect of thermal dispersion on transient natural convection in a wavy-walled porous cavity filled with a nanofluid: tiwari and Das’ nanofluid model. Int J Heat Mass Tran 2016;92:1053–60. https://doi.org/10.1016/j.ijheatmasstransfer.2015.09.071.Search in Google Scholar

12. Nandeppanavar, MM, Subhas Abel, M, Kemparaju, MC. Stagnation point flow, heat and mass transfer of MHD nanofluid due to porous stretching sheet through porous media with effect of thermal radiation. J Nanofluids 2017;6:38–47. https://doi.org/10.1166/jon.2017.1292.Search in Google Scholar

13. Ghasemi, SE, Hatami, M. Solar radiation effects on MHD stagnation point flow and heat transfer of a nanofluid over a stretching sheet. Case Stud Therm Eng 2021;25:100898. https://doi.org/10.1016/j.csite.2021.100898.Search in Google Scholar

14. Alrihieli, H, Areshi, M, Alali, E, Megahed, AM. MHD dissipative Williamson nanofluid flow with chemical reaction due to a slippery elastic sheet which was contained within a porous medium. Micromachines 2022;13:1879. https://doi.org/10.3390/mi13111879.Search in Google Scholar PubMed PubMed Central

15. Abbas, W, Megahed, AM, Fares, E. The impact of a chemical reaction on the heat and mass transfer mechanisms in a dissipative and radiative nanofluid flow over a nonlinear stretching sheet. Sci Rep 2024;14:7712. https://doi.org/10.1038/s41598-024-57952-9.Search in Google Scholar PubMed PubMed Central

16. Ramadevu, S, Vijaya Kumar, P, Ibrahim, SM, Jyothsna, K. Investigation of heat and mass transfer in magnetohydrodynamic Williamson nanofluid flow over a nonlinear stretching surface with viscous dissipation and radiation effects: a numerical approach. Radiat Eff Defect Solid 2025;180:1331–52. https://doi.org/10.1080/10420150.2025.2467348.Search in Google Scholar

17. Badak, K, Sharma, RP, Ibrahim, SM. A comprehensive study on Maxwell hybrid nanostructure and Maxwell nanostructure on 2D flow model over a stretching sheet with non-uniform heat generation/absorption and binary chemical reaction. J Therm Anal Calorim 2025;150:521–35. https://doi.org/10.1007/s10973-024-13754-9.Search in Google Scholar

18. Ramadevu, S, Kumar, PV, Lorenzini, G, Ibrahim, SM, Jyothsna, K. Viscoelastic flow analysis with buongiorno nanofluid model over a nonlinear stretching sheet: a homotopy approach. Front Heat Mass Transfer 2025;23:857–79. https://doi.org/10.32604/fhmt.2025.062231.Search in Google Scholar

19. Turcu, R, Darabont, A, Nan, A, Aldea, N, Macovei, D, Bica, D, et al.. New polypyrrole-multiwall carbon nanotubes hybrid materials. J Optoelectron Adv Mater 2006;8:643–7.Search in Google Scholar

20. Jana, S, Salehi-Khojin, A, Zhong, WH. Enhancement of fluid thermal conductivity by the addition of single and hybrid nano-additives. Thermochim Acta 2007;462:45–55. https://doi.org/10.1016/j.tca.2007.06.009.Search in Google Scholar

21. Suresh, S, Venkitaraj, KP, Selvakumar, P, Chandrasekar, M. Effect of Al2O3 Cu/water hybrid nanofluid in heat transfer. Exp Therm Fluid Sci 2012;38:54–60. https://doi.org/10.1016/j.expthermflusci.2011.11.007.Search in Google Scholar

22. Ghalambaz, M, Doostani, A, Izadpanahi, E, Chamkha, AJ. Phase-change heat transfer in a cavity heated from below: the effect of utilizing single or hybrid nanoparticles as additives. J Taiwan Inst Chem Eng 2017;72:104–15. https://doi.org/10.1016/j.jtice.2017.01.010.Search in Google Scholar

23. Huminic, G, Huminic, A. Hybrid nanofluids for heat transfer applications- A state-of-the-art review. Int J Heat Mass Tran 2018;125:82–103. https://doi.org/10.1016/j.ijheatmasstransfer.2018.04.059.Search in Google Scholar

24. Hussien, AA, Abdullah, MZ, Yusop, NM, Al-Kouz, W, Mahmoudi, E, Mehrali, M. Heat transfer and entropy generation abilities of MWCNTs/GNPs hybrid nanofluids in microtubes. Entropy 2019;21:480. https://doi.org/10.3390/e21050480.Search in Google Scholar PubMed PubMed Central

25. Abiodun, OH, Olatunji, TY, Sibanda, P. Entropy generation in an unsteady eyring-Powell hybrid nanofluid flow over a permeable surface: a lie group analysis. Heat Trans 2020;49:3374–90. https://doi.org/10.1002/htj.21778.Search in Google Scholar

26. Abu Bakar, S, Md Arifin, N, Skhashiie, N, Bachok, N. Hybrid nanofluid flow over a permeable shrinking sheet embedded in a porous medium with radiations and slip impacts. Mathematics MDPI 2021;9:878.10.3390/math9080878Search in Google Scholar

27. Abd-Elmonem, A, Rubbab, Q, AL, Garalleh, H, Rehman, F, Amjad, M, ElSeabee, FAA, et al.. Thermal characteristics of hybrid Nanofluid Cu − Al2O3 flow through Darcy porous medium with chemical effects via numerical successive over relaxation technique. Case Stud Therm Eng 2025;65:105538. https://doi.org/10.1016/j.csite.2024.105538.Search in Google Scholar

28. Santhi, M, Rao, KVS, Reddy, PS, Sreedevi, P. Heat and mass transfer characteristics of radiative hybrid nanofluid flow over a stretching sheet with chemical reaction. Heat Transfer 2021;50:2929–49. https://doi.org/10.1002/htj.22012.Search in Google Scholar

29. Sreedevi, P, Reddy, PS, Chamkha, A. Heat and mass transfer analysis of unsteady hybrid nanofluid flow over a stretching sheet with thermal radiation. SN Appl Sci 2020;2:1222. https://doi.org/10.1007/s42452-020-3011-x.Search in Google Scholar

30. Asadi, A, Asadi, M, Rezaniakolaei, A, Rosendahl, LA, Afrand, M, Wongwises, S. Heat transfer efficiency of Al2O3-MWCNT/thermal oil hybrid nanofluid as a cooling fluid in thermal and energy management applications: an experimental and theoretical investigation. Int J Heat Mass Tran 2018;117:474–86. https://doi.org/10.1016/j.ijheatmasstransfer.2017.10.036.Search in Google Scholar

31. Raptis, A. Radiation and free convection flow through a porous medium. Int Commun Heat Mass Tran 1998;25:289–95. https://doi.org/10.1016/s0735-1933(98)00016-5.Search in Google Scholar

32. Elham, A, Megahed, AM. MHD dissipative Casson nanofluid liquid film flow due to an unsteady stretching sheet with radiation influence and slip velocity phenomenon. Nanotechnol Rev 2022;11:463–72. https://doi.org/10.1515/ntrev-2022-0031.Search in Google Scholar

33. Khan, Y, Tufail, MN, Shahzad, K, Alameer, A, Iqbal, N. Impact of chemical reaction on thermal magnetized hybrid nanofluid over a curved stretching surface. Results Eng 2025;27:105556. https://doi.org/10.1016/j.rineng.2025.105556.Search in Google Scholar

34. Devi, SSU, Devi, SPA. Heat transfer enhancement of Cu-Al2O3/water hybrid nanofluid flow over a stretching sheet. J Niger Mathem. Soc 2017;36:419–33.Search in Google Scholar

Received: 2025-07-20
Accepted: 2025-10-21
Published Online: 2025-12-08

© 2025 the author(s), published by De Gruyter, Berlin/Boston

This work is licensed under the Creative Commons Attribution 4.0 International License.

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