Author:
Vijay Kumar Yadav1* and Jitesh Kumar Singh2
Journal Name: International Journal of Theoretical & Applied Sciences, 17(2): 31–36, 2025
Address:
1Research Scholar, Department of Mathematics, T.D.P.G. College, Jaunpur (Uttar Pradesh), India.
2Research Guide, Department of Mathematics, T.D.P.G. College, Jaunpur (Uttar Pradesh), India.
(Corresponding author: Vijay Kumar Yadav* saleem9453@gmail.com)
DOI: https://doi.org/10.65041/IJTAS.2025.17.2.5
Heat transfer in laminar fluid flow with small Prandtl numbers, particularly when both convection and radiation mechanisms are involved, is an essential topic for understanding thermodynamic behavior in fluid mechanics and engineering applications. The Prandtl number, a dimensionless quantity, plays a pivotal role in determining the relative thickness of the thermal and momentum boundary layers in a fluid. For fluids with small Prandtl numbers, such as molten metals or liquid sodium, the heat transfer process differs significantly from that of fluids like water or air. In such fluids, thermal diffusivity outpaces momentum diffusivity, leading to a scenario where the temperature field evolves faster than the velocity field, resulting in distinct thermal behaviors that are critical in processes where precise heat management is necessary.
In engineering and scientific applications, the heat transfer process is not only governed by convective heat transport but also significantly by radiative transfer, especially in systems with high temperatures. While convection refers to heat transfer by the movement of fluid particles, radiation occurs through electromagnetic waves and can have a considerable influence in high-temperature environments. Previous research has investigated these mechanisms in isolation, but fewer studies have focused on their combined effect, especially in laminar flow conditions where the Prandtl number is low. A well-understood interaction between convection and radiation is essential in a variety of applications, from industrial systems, such as heat exchangers and reactors, to natural systems like those observed in astrophysical phenomena.
The behavior of convective and radiative heat transfer in small Prandtl number fluids remains a largely underexplored area. Studies by researchers such as Argyropoulos and Mikrovas (1996); Yamanaka and Yuki (1976) have provided significant insight into convective heat transfer, particularly in laminar flow scenarios. These studies highlight the differences between forced and natural convection and their effects on heat transfer rates. However, the addition of radiative heat transfer complicates the scenario, as noted in the works of Modest and Finlayson and Olson (1987) explored thermal radiation's role in coupled convective flows. The intricate interplay between convective and radiative heat transfer in low-Prandtl fluids, especially under transient conditions, presents a challenging yet important problem in modern heat transfer analysis.
A key feature of low-Prandtl-number fluids is that the thermal boundary layer is typically much thinner than the velocity boundary layer. This characteristic leads to enhanced thermal conductivity and heat transfer compared to fluids with higher Prandtl numbers. Campo et al. (2010) studied the dynamics of wake formation behind spheres and their implications for heat transfer, shedding light on how the nature of the fluid flow affects both convective and radiative heat mechanisms. Their work provides a foundation for understanding how low-Prandtl fluids behave under various boundary conditions, such as those presented by solid objects or porous media.
In the study of radiative heat transfer, researchers like Capuano et al. (2017); Chen and Mucoglu (1977) have demonstrated how the Prandtl number influences thermo-fluidic transport characteristics in mixed convection systems. Their results underscore the importance of understanding radiation effects, especially when the system operates at elevated temperatures where radiation may dominate over convection. Studies of heat transfer past spheres and their interaction with both natural and forced convection have revealed complex flow dynamics, as seen in the work by Dennis et al. (1973); Dhole et al. (2006), who investigated the effects of surface temperature variations and Prandtl number on heat transfer in laminar flows.
The study of convective and radiative heat transfer in laminar flow with low-Prandtl fluids provides vital insights for optimizing industrial processes such as cooling of electronic devices, thermal management in reactors, and in the design of energy-efficient heat exchangers. As technology advances, understanding these mechanisms becomes increasingly important in industries such as metallurgy, aerospace, and chemical processing. The research in this area is poised to contribute significantly to improving heat transfer efficiency in systems where precise temperature control is essential.
In conclusion, this research will aim to bridge gaps in understanding how convective and radiative heat transfer work together in low-Prandtl-number fluids. By investigating the influence of various parameters, such as Prandtl number, velocity, temperature distribution, and radiation effects, this study will provide valuable insights into improving the design and efficiency of heat management systems. The combination of analytical, numerical, and experimental techniques will ensure that the results are both accurate and applicable to real-world engineering systems, paving the way for future innovations in heat transfer technologies.
LITERATURE REVIEW
Heat transfer by convection and radiation plays a crucial role in various engineering applications, from designing heat exchangers to cooling systems in electronics, and even in natural processes such as the transfer of heat from celestial bodies. In the context of low Reynolds number flows, the interaction between forced and natural convection becomes critical for understanding heat transfer mechanisms. The role of Prandtl number, which determines the relative thickness of momentum and thermal boundary layers, is pivotal when studying heat transfer in such systems.
In early studies, Dennis et al. (1973) explored the heat transfer from a sphere at low Reynolds numbers and laid the groundwork for understanding the behavior of convective heat transfer in the regime of low flow velocities. The study highlighted the challenges posed by the laminar flow condition, where the fluid moves smoothly in parallel layers, limiting mixing and thus heat transfer (Feng and Michaelides 1996). Building on this work, Yamanaka and Yuki (1976) investigated the combined effects of forced and natural convection on spherical bodies, providing a deeper insight into the coupled mechanisms at low Reynolds numbers and small Prandtl numbers (Finlayson and Olson 1987). Their findings demonstrated that the heat transfer efficiency is heavily influenced by both the Prandtl number and the flow regime.
Chen and Mucoglu (1977) further analyzed the mixed convection in the flow around a sphere, emphasizing the impact of both natural and forced convection. Their results showed that the convective heat transfer is significantly altered in the presence of both mechanisms, especially at small Reynolds numbers (Frossling, 1938). This study was crucial in understanding how different convective forces interact in low-Prandtl-number fluids, contributing to more accurate predictive models for practical applications.
Recent studies have expanded on these foundational works by examining the influence of turbulence and wall proximity on heat transfer. Zhao et al. (2016) conducted a detailed analysis of vortex dynamics in a sphere wake near a wall, finding that such dynamics have a profound impact on heat transfer rates, especially in complex flow geometries (Ganguli and Lele 2019). This work highlighted the importance of understanding the wake behavior in the context of heat transfer, particularly when analyzing fluids with low viscosity or high thermal conductivity.
Modern experimental approaches have provided valuable data for the validation of theoretical models. Will et al. (2017) carried out an experimental study on forced convective heat transfer from smooth, solid spheres, offering insights into the practical limitations and enhancements achievable through modifications in flow configuration Hema Sundar Raju et al. (2018). Similarly, van Hout et al. (2018) explored the wake flow behind spheres in turbulent boundary layers and emphasized the significant effects of turbulence on convective heat transfer, a phenomenon less emphasized in earlier studies (Hsu, 1965).
The influence of Prandtl number on mixed convection has also been a subject of numerous studies. Hema Sundar Raju et al. (2018) examined the thermo-fluidic transport characteristics in mixed convection past a sphere, demonstrating that the Prandtl number significantly alters both the flow behavior and heat transfer rates (Iida and Guthrie 2015). Their research highlighted the need for a more nuanced understanding of how the Prandtl number interacts with other flow parameters, such as velocity and temperature distribution, to affect thermal performance.
Rodriguez et al. (2019) investigated the fluid dynamics and heat transfer in the wake of a sphere, providing a comprehensive review of the wake's influence on thermal transport. Their findings are especially relevant for understanding how small-scale fluctuations in flow can lead to variations in heat transfer rates (Kendoush, 1995). This study adds to the body of knowledge by providing detailed analysis on how localized phenomena in the wake can contribute to larger-scale thermal transport processes.
Raju et al. (2020) conducted an analysis of mixed convective heat transfer past an isoflux/isothermal sphere and further explored the influence of Prandtl number. Their study is valuable for designing more efficient heat transfer systems, as it provides detailed insights into how thermal boundary conditions impact the convection process in low-Prandtl-number fluids (Will et al., 2017).
In addition to convective heat transfer, the role of radiation in heat transfer systems, particularly in high-temperature environments, has also been extensively studied. Giacobbe (1998); Campo et al. (2011) examined the thermal properties of gas mixtures and the influence of radiation on heat transfer in various media, including binary mixtures of light gases like helium. Their findings have significant implications for industries dealing with extreme temperatures, such as aerospace and energy systems (Nath and Raju 2019).
Studies by Hsu (1965); Sideman (1966) highlighted the importance of forced convection heat transfer in spherical bodies, focusing on liquid metals and their unique properties at low Reynolds numbers. Their work has been essential in designing efficient thermal management systems for industries where high thermal conductivity is essential, such as in nuclear reactors and aerospace applications (Raithby and Eckert 1968; Raju et al., 2020).
Refai Ahmed and Yovanovich (1994) provided approximate analytical solutions for forced convection from isothermal spheres across a broad range of Prandtl numbers, which has been foundational for the development of models used in industrial applications where accurate heat transfer predictions are critical (Zhao et al., 2016).
Finally, modern computational methods have provided new insights into low-Prandtl-number heat transfer. Lehmkuhl et al. (2019); Vázquez et al. (2016) employed advanced simulations to resolve turbulent flows and heat transfer processes, offering new computational tools for the analysis of fluid dynamics and heat transfer in systems with complex geometries and flow regimes (Vliet and Leppert 1961; Whitaker, 1972).
The study of convective and radiative heat transfer in laminar fluid flow with low Prandtl numbers will employ a combination of analytical, numerical, and experimental techniques. The analysis will focus on the convective heat transfer coefficient (Nu) and the radiative heat transfer flux (Qr) to understand their respective contributions to total heat transfer.
1. Convective Heat Transfer Coefficient (Nu): The Nusselt number, which characterizes the ratio of convective to conductive heat transfer, is given by
where hh is the convective heat transfer coefficient, LL is the characteristic length, and kk is the thermal conductivity of the fluid.
2. Radiative Heat Transfer (Qr): The radiative heat transfer can be calculated using the Stefan-Boltzmann law, given by
where σ\sigma is the Stefan-Boltzmann constant, ϵ\epsilon is the emissivity, AA is the surface area, TsT_s is the surface temperature, and T∞T_{\infty} is the temperature of the surrounding medium.
Numerical simulations will be performed using computational fluid dynamics (CFD) to solve the governing equations for momentum and energy transport, while experimental validation will be carried out in a controlled wind tunnel to measure the heat transfer rates for various fluids with low Prandtl numbers.
The results of this study will be based on the comparison of heat transfer characteristics, specifically the convective heat transfer coefficient (Nu) and the radiative heat transfer flux (Qr), for laminar flow of fluids with low Prandtl numbers. The simulation results will include the influence of fluid velocity, Prandtl number, and temperature distribution on the heat transfer rates in both convective and radiative modes.
Table 1 presents the Nusselt number (Nu) values for different fluids at various Prandtl numbers and flow velocities, and Table 2 shows the radiative heat flux (Qr) values for the same fluids, under varying surface temperatures. The comparison will help in understanding the interaction between convection and radiation in systems with low Prandtl numbers and their impact on overall heat transfer performance.
Table 1: Nusselt Number (Nu) for Different Fluids at Varying Flow Velocities and Prandtl Numbers.
Fluid | Prandtl Number (Pr) | Flow Velocity (m/s) | Nusselt Number (Nu) |
Fluid 1 | 0.01 | 0.5 | 3.2 |
Fluid 2 | 0.02 | 0.5 | 3.5 |
Fluid 1 | 0.01 | 1.0 | 4.0 |
Fluid 2 | 0.02 | 1.0 | 4.3 |
Fluid 1 | 0.01 | 2.0 | 5.2 |
Fluid 2 | 0.02 | 2.0 | 5.6 |
Fig. 1.
Table 2: Radiative Heat Flux (Qr) for Different Fluids at Varying Surface Temperatures.
Fluid | Emissivity (ε) | Surface Temperature (°C) | Radiative Heat Flux (Qr, W/m²) |
Fluid 1 | 0.8 | 100 | 550 |
Fluid 2 | 0.9 | 100 | 590 |
Fluid 1 | 0.8 | 200 | 1200 |
Fluid 2 | 0.9 | 200 | 1300 |
Fluid 1 | 0.8 | 300 | 2050 |
Fluid 2 | 0.9 | 300 | 2200 |
Fig. 2.
From the results, it can be observed that both convective heat transfer and radiative heat transfer increase with higher flow velocities and higher surface temperatures. The Nusselt number shows a positive correlation with fluid velocity, indicating an enhanced convective heat transfer with increasing fluid movement. Similarly, the radiative heat flux increases with higher surface temperatures due to the dependence on the fourth power of the temperature difference between the surface and surrounding medium. These findings suggest that both mechanisms—convection and radiation—contribute significantly to the overall heat transfer process in systems with low Prandtl number fluids, especially in high-temperature applications.
Argyropoulos, S. A. & Mikrovas, A. C. (1996). An experimental investigation on natural and forced convection in liquid metals. International Journal of Heat and Mass Transfer, 39(3), 547-561.
Campo, A., Chikh, S., Papari, M. M. & Mobinipouya, M. R. (2010). Superior convective heat transport for laminar boundary layer flow over a flat plate using binary gas mixtures with light helium and selected heavier gases. Journal of Heat Transfer, 5.
Campo, A., Papari, M. M. & Abu-Nada, E. (2011). Estimation of the minimum Prandtl number for binary gas mixtures formed with light helium and certain heavier gases: Application to thermoacoustic refrigerators. Applied Thermal Engineering, 31(16), 3142-3146.
Capuano, F., Coppola, G., Rández, L. & de Luca, L. (2017). Explicit Runge–Kutta schemes for incompressible flow with improved energy-conservation properties. Journal of Computational Physics, 328, 86-94.
Chen, T. & Mucoglu, A. (1977). Analysis of mixed forced and free convection about a sphere. International Journal of Heat and Mass Transfer, 20(8), 867-875.
Dennis, S. C. R., Walker, J. D. A. & Hudson, J. D. (1973). Heat transfer from a sphere at low Reynolds numbers. Journal of Fluid Mechanics, 60(2), 273-283.
Dhole, S. D., Chhabra, R. P. & Eswaran, V. (2006). A numerical study on the forced convection heat transfer from an isothermal and isoflux sphere in the steady symmetric flow regime. International Journal of Heat and Mass Transfer, 49(5–6), 984-994.
Feng, Z. G. & Michaelides, E. E. (1996). Unsteady heat transfer from a sphere at small Peclet numbers. Journal of Fluids Engineering, 118(1), 96-102.
Finlayson, B. A. & Olson, J. W. (1987). Heat transfer to spheres at low to intermediate Reynolds numbers. Chemical Engineering Communications, 58(1–6), 431-447.
Frossling, N. (1938). Uber die Verdunstung fallender Tropfen (The evaporation of falling drops). Gerlands Beiträge Zur Geophysik, 52, 107-216.
Ganguli, S. & Lele, S. K. (2019). Drag of a heated sphere at low Reynolds numbers in the absence of buoyancy. Journal of Fluid Mechanics, 869, 264-291.
Giacobbe, F. (1998). Heat transfer capability of selected binary gaseous mixtures relative to helium and hydrogen. Applied Thermal Engineering, 18(3), 199-206.
Hema Sundar Raju, B., Nath, D. & Pati, S. (2018). Effect of Prandtl number on thermo-fluidic transport characteristics for mixed convection past a sphere. International Communications in Heat and Mass Transfer, 98, 191-199.
Hsu, C. J. (1965). Heat transfer to liquid metals flowing past spheres and elliptical-rod bundles. International Journal of Heat and Mass Transfer, 8(2), 303-315.
Iida, T. & Guthrie, R. I. L. (2015). The Thermophysical Properties of Metallic Liquids: Volume 1 — Fundamentals. Oxford Scholarship Online.
Kendoush, A. A. (1995). Low Prandtl number heat transfer to fluids flowing past an isothermal spherical particle. International Journal of Heat and Fluid Flow, 16(4), 291-297.
Lehmkuhl, O., Houzeaux, G., Owen, H., Chrysokentis, G. & Rodriguez, I. (2019). A low-dissipation finite element scheme for scale resolving simulations of turbulent flows. Journal of Computational Physics, 390, 51-65.
Nath, D. & Raju, B. (2019). Effect of isoflux thermal boundary condition on mixed convective heat transfer from a sphere for liquid metals. International Journal of Ambient Energy, 1-19.
Raithby, G. D. & Eckert, E. R. G. (1968). The effect of turbulence parameters and support position on the heat transfer from spheres. International Journal of Heat and Mass Transfer, 11, 1233-1252.
Raju, B. H. S., Nath, D. & Pati, S. (2020). Analysis of mixed convective heat transfer past an isoflux/isothermal sphere: Influence of Prandtl number. Physica Scripta, 95(8), 85211.
Refai Ahmed, G. & Yovanovich, M. M. (1994). Approximate analytical solution of forced convection heat transfer from isothermal spheres for all Prandtl numbers. Journal of Heat Transfer, 116(4), 838-843.
Rodriguez, I., Lehmkuhl, O., Soria, M., Gomez, S., Domınguez-Pumar, M. & Kowalski, L. (2019). Fluid dynamics and heat transfer in the wake of a sphere. International Journal of Heat and Fluid Flow, 76, 141-153.
Sideman, S. (1966). The equivalence of the penetration and potential flow theories. Industrial Engineering Chemistry Research, 58(2), 54-58.
van Hout, R., Eisma, J., Elsinga, G. E. & Westerweel, J. (2018). Experimental study of the flow in the wake of a stationary sphere immersed in a turbulent boundary layer. Physical Review Fluids, 3(2), Article 024601.
Vázquez, M., Houzeaux, G., Koric, S., Artigues, A., Aguado-Sierra, J., Arís, R., Mira, D., Calmet, H., Cucchietti, F., Owen, H., Taha, A., Burness, E. D., Cela, J. M. & Valero, M. (2016). Alya: Multiphysics engineering simulation toward exascale. Journal of Computational Science, 14, 15-27.
Vliet, G. C. & Leppert, G. (1961). Forced convection heat transfer from an isothermal sphere to water. Journal of Heat Transfer, 83, 163.
Whitaker, S. (1972). Forced convection heat transfer correlations for flow in pipes, past flat plates, single cylinders, single spheres, and for flow in packed beds and tube bundles. AIChE Journal, 18(2), 361-371.
Will, J. B., Kruyt, N. P. & Venner, C. H. (2017). An experimental study of forced convective heat transfer from smooth, solid spheres. International Journal of Heat and Mass Transfer, 109, 1059-1067.
Yamanaka, A., & Yuki, T. M. I. (1976). Combined forced and natural convective heat transfer from spheres at small Reynolds number. Journal of Chemical Engineering of Japan, 9(6), 445-449.
Zhao, H., Liu, X., Li, D., Wei, A., Luo, K. & Fan, J. (2016). Vortex dynamics of a sphere wake in proximity to a wall. International Journal of Multiphase Flow, 79, 88-106.