Open Access
ARTICLE
Natural Convection of a Power-Law Nanofluid in a Square Cavity with a Vertical Fin
1 LERMAB, Department of Transition and Energy Efficiency Professions, IUT H Poincaré de Longwy, University of Lorraine, Longwy, 54400, France
2 LPT, Center for Energy Research and Technologies (Borj Cedria, 2084), University of Tunis El Manar, Tunis, 1068, Tunisia
3 LTI, Department of Mechanical Engineering and Production, IUT, University of Picardie Jules-Verne, Amiens, 80025, France
* Corresponding Author: Amira M’hadbi. Email:
(This article belongs to the Special Issue: Materials and Energy an Updated Image for 2023)
Fluid Dynamics & Materials Processing 2024, 20(9), 2091-2108. https://doi.org/10.32604/fdmp.2024.050763
Received 17 February 2024; Accepted 17 May 2024; Issue published 23 August 2024
Abstract
The behavior of non-Newtonian power-law nanofluids under free convection heat transfer conditions in a cooled square enclosure equipped with a heated fin is investigated numerically. In particular, the impact of nanofluids, composed of water and Al₂O₃, TiO₂, and Cu nanoparticles, on heat transfer enhancement is examined. The aim of this research is also to analyze the influence of different parameters, including the Rayleigh number (Ra = 104 − 106), nanoparticle volume fraction (φ = 0% − 20%), non-Newtonian power-law indexes (n = 0.6 − 1.4), and fin dimensions (Ar = 0.3, 0.5, and 0.7). Streamlines and isotherms are used to depict flow and related heat transfer characteristics. Results indicate that thermal performance improves with increasing Rayleigh number, regardless of the nanoparticle type or nanofluid rheological behavior. This suggests that the buoyancy force has a significant impact on heat transfer, particularly near the heat source. The Nusselt number is more sensitive to variations in Cu nanoparticle volume fractions compared to Al₂O₃ and TiO₂. Moreover, the average Nusselt numbers for power-law nanofluids with n < 1 (n > 1) are greater (smaller) than for Newtonian fluids due to the decrease (increase) in viscosity with increasing (decreasing) shear rate, at the same values of Rayleigh number Ra owing to the amplification (attenuation) of the convective transfer. Notably, the most substantial enhancement is observed with Cu–water shear-thinning nanofluid, where the Nusselt number increases by 136% when changing from Newtonian to shear thinning behavior and by 154.9% when adding 16% nanoparticle volume fraction. Moreover, an even larger increase of 57% in the average Nusselt number is obtained on increasing the fin length from 0.3 to 0.7.Graphic Abstract
![Natural Convection of a Power-Law Nanofluid in a Square Cavity with a Vertical Fin](https://cdn.techscience.cn/uploads/imgs/202408/c1ee9a492b28787a798d59d04e868b27.png?t=20220620)
Keywords
Nomenclature
| Aspect ratio |
| Fin’s dimension |
| Specific heat at constant pressure |
| Gravitational acceleration |
| Thermal conductivity |
| Cavity length |
M | The consistency coefficient |
| Power law index |
Nu | Nusselt number |
| Mean Nusselt number |
P | Dimensionless pressure |
p | Pressure |
Ra | Rayleigh number |
Pr | Prandtl number |
T | Temperature |
u, v | Velocity components |
U,V | Dimensionless velocity components |
x, y | Cartesian coordinates |
X, Y | Dimensionless Cartesian coordinates |
Greek Letters | |
φ | Nanoparticle volume fraction |
β | Coefficient of volume expansion, |
τ | Shear stress, Pa |
ρ | Density, |
α | Thermal diffusivity, |
µ | Dynamic viscosity, |
Ѳ | Dimensionless temperature |
| Velocity and thermal boundary-layer thickness, m |
ψ | Dimensionless stream function |
| Cold |
| hot |
| effective |
| Fluid |
| Particle |
| Nanofluid |
Free convection heat transfer in square enclosures is largely used in numerous engineering applications such as heat exchangers, buildings, built-in-storage solar collectors and thermal management of electronics [1]. Researchers have expressed significant concern regarding the enhancement of heat transfer in free convection due to its inherently low heat transfer coefficient. Consequently, they actively explored diverse techniques and concepts to improve the heat transfer in this process. One of those techniques that researchers frequently focus on is adding nanoparticles to the conventional working fluid. The addition of nanoparticles enhances the thermophysical properties of the base fluid, particularly thermal conductivity, a pivotal parameter that improves the heat transfer mechanisms [2–6]. Therefore, the single-phase model was largely employed due to its simplicity and computational efficiency, making it suitable for diluting nanofluids with low nanoparticle concentrations. However, its simplicity may lead to inaccuracies, as it oversimplifies complex nanofluid behavior and neglects nanoparticle interactions [7]. The two-phase model, initiated in 2006 by Buongiorno, offered a deeper insight into the movement of nanoparticles into the base fluid. Alsabery et al. [8] have concluded in their review that the high computational cost of the two-phase models has limited the adoption of the model of single-phase among researchers. As a result, only 19% of nanofluid studies have opted for the two-phase approach.
Some analytical and numerical investigations have been performed on free convection through nanofluids in cavities of different shapes [9–13]. These studies have investigated the impact of altering the nanoparticle’s volume fraction at various Rayleigh numbers (Ra) on heat transfer.
Houda Jalali [14] have explored enhanced heat transfer in
While most studies have concentrated on free convection heat transfer for Newtonian fluids within cavities, the influence of non-Newtonian behavior exhibited by nanofluids on free convection heat transport remains less explored. Some studies have employed a comparative analysis to investigate the free convection heat transfer characteristics between Newtonian and non-Newtonian behaviors. Turan et al. [18] considered the free convection phenomenon in a square enclosure exposed to heat flux at the sidewalls, focusing on power-law fluids and Newtonian fluids. For both power-law and Newtonian fluids, heat transfer increased with rising
Several published studies have proved that the presence of the fin in cavities introduces an additional heat transfer surface, leading to improved convective heat transfer. Elatar et al. [23] have numerically investigated the laminar free convection in a square differentially heated enclosure with one simple horizontal fin fixed to the heated wall. The study has revealed that the effectiveness of the fin has increased with its length. Saravanan et al. [24] have numerically analyzed the free convection inside an enclosure with a heated plate, considering thermal radiation effects. In the cases of the absence of emissivity, it has been well documented in the literature that the heat transfer is significantly improved when the fin is both longer and vertical. These same results were obtained also by Mahalakshmi et al. [25].
In the constantly changing field of heat transfer involving fluid flow through nanoparticles inside cavities, there have been notable advancements in recent years. Islam et al. [26] analyzed copper-water nanofluid convective flow through a prismatic cavity under two different temperature boundary conditions, aiming to visualize temperature flow and identify the most efficient temperature change path. Khan et al. [27] studied
The current study introduces several novel contributions to the area of fluid flow and thermal transfer. The study begins by examining the power-law nanofluids behavior, capturing specifics of shear-thinning (pseudo-plastic behavior) and shear-thickening (dilatant behavior) fluids in a square cavity having a heated central vertical fin, utilizing the finite element method; offering a fresh perspective as it examines a geometry that has received limited attention in previous research. The rheological response of non-Newtonian nanofluids in this configuration allowed us to further control the fin-induced heat transfer enhancement. This is particularly significant due to its involvement in various practical and industrial applications, including thermal management of electronic components, nuclear reactors, heat exchangers and float glass production, among others. Moreover, the inclusion of changing Rayleigh numbers (
2 Modelling and Mathematical Formulation
The square cavity Fig. 1 is enclosed by two vertical walls cooled to a temperature of
Figure 1: Some functions of
Dimensionless variables can be linked to dimensional ones through [19,28]:
Dimensionless Rayleigh (
The thermo-physical characteristics of the nanofluid are determined using conventional models reported in the literature [34,35] as follows:
The nonofluid’s density, specific heat, thermal expansion coefficient, and thermal diffusivity are represented by
The Brinkman model was used to calculate the effective dynamic viscosity of the nanofluid
The non-Newtonian fluid inside the cavity obeys the Ostwald-de Waele power law model, based on the shear stress tensor:
where
The effective viscosity (
The problem’s boundary conditions, when dimensionless, are presented below:
Some relationships are conducted to clarify how Rayleigh number, Prandtl number, and power-law index influence the Nusselt number for the model of power-law fluids [18].
where the hydrodynamic and thermal boundary-layer thicknesses,
The average Nusselt number is expressed by:
3 Numerical Methodology and Validation
Numerical solutions for the Eqs. (1)–(4), considering the initial and boundary conditions (17), were computed employing COMSOL, a partial differential equations (PDEs) solver that utilizes the Galerkin weighted residual finite element approach is adapted. The flow is laminar and the fluid is assumed to be incompressible. The computational domain was subdivided to triangular elements, and various orders of triangular Lagrange finite elements were employed to represent the various flow variables throughout the computational domain. To handle the non-linear terms present in momentum equations, Newton iterative method was employed for simplifications.
The stream function equation is solved using the Poisson’s equation:
Multiple sensitivity grid tests were performed to assess the adequacy of the scheme of mesh and ensure that the outcomes are not influenced by the grid used. The default settings of COMSOL for pre-defined mesh sizes are employed as below in Table 2.
The extra fine grid type of 16,630 elements is chosen to accurately resolve the governing equations and the local-average heat transfer.
To verify the numerical outcomes accuracy found in the current investigation, a comparison was conducted between quantitative results (mean Nusselt number and the maximum of streamlines) and qualitative aspects (isotherms and streamlines behaviors) (as illustrated in Fig. 2 of the current work) with those reported by Brinkman et al. [39] for a differentially heated enclosure without a fin, both in the presence and absence of magnetic fields (which are not presented here). The results of the current study align well with those of Ghasemi et al. with the highest deviation observed at 1.96% for
Figure 2: Streamlines (left) and the isotherms (right) of the current study for
Furthermore, another comparison of the
Fig. 3 illustrates the changes of the mean Nusselt number (
Figure 3: The
In fact, for shear-thinning nanofluids (
For Newtonian fluid case behavior (
Remarkably, the most substantial rise in the mean Nusselt number with varying volume fractions of Al2O3, TiO2, and
The most pronounced impact of nanoparticles on heat transport is evident at a power law index (
The observations depicted in Fig. 4 underscore the significant influence of fluid rheology, particularly the transition from shear-thinning to the behavior of shear-thickening. This transition is associated with a decrease in (
Figure 4: The
Figure 5: Influence of nanoparticles on the
Figure 6: Effect of nanoparticles on the
Fig. 7 provides a visual representation of the circulation of liquid and thermal transmission in Cu – water nanofluids at
Figure 7: Isotherms at various
It is apparent from Fig. 8 that as the n value increases (decreases), the intensity
Figure 8: Streamlines at various
The presence of the fin, serving as a heat source, induces the formation of temperature stratification zones on both sides of the heat-generating region. As the power law index reduces, the distribution of isotherms becomes increasingly curved in a horizontal manner. This curvature is a consequence of the intensified strength of convection. The result for higher values of n demonstrates a reducing in the circulation of convective flow and the emergence of a heat conduction-driven way within the proximity of the walls. Consequently, one may observe less effective cavity cooling from the vertical walls. This observation highlights the intricate interplay between fluid dynamics, heat conduction, and the index of power law, influencing the total heat transport characteristics within the system.
The observation notes that the streamlines intensity represented by
It should be emphasized that the presence of the fin and its vertical positioning at the center significantly increases the rate of heat transport in the enclosure. This finding is in line with the research of Saravanan et al. [24] in the context of pure convection, where they compared the horizontal and vertical positions. This improvement of heat transfer is facilitated by the rise of the area surface provided by the fin, allowing for more contact between the fin and the surrounding fluid.
The influence of the fin’s dimensions and the index of power law on heat transport is more apparent in the results found in terms of
Figure 9:
Fig. 10 shows that, at a constant
Figure 10:
In the current study, heat transfer by free convection for
The following outcomes have been concluded:
• For shear-thinning
• In the shear-thickening rheological behavior, adding
• For Newtonian fluid behavior (
• The most significant impact of nanoparticles adding on the heat transfer is recorded at
• The
• The impact of the fin’s dimension is more pronounced for shear-thinning nanofluids compared to Newtonian and even more so compared to shear-thickening nanofluids. The highest
In summary, the improvement of heat transport in the square enclosure is represented by the increment of the
Acknowledgement: The authors gratefully acknowledge the LERMAB laboratory for fostering an enabling environment for this research and facilitating the first author’s participation in the conference in Italy. Special thanks are also due to Amina Sabeur (LSIM, UST d’Oran) and Dang Mao Nguyen (LERMAB, Université de Lorraine) for their valuable comments aimed at improving this paper. Additionally, the authors thank Mahmoud Eissa for his assistance with plagiarism-related matters.
Funding Statement: This research has received financial support by Campus France within the framework of the PHC-Maghreb 45990SH Project. The first author also receives support from the Tunisian Republic Ministry of Higher Education and Scientific Research for a part of her stay in France. We also acknowledge CRTEn for providing her some flight tickets.
Author Contributions: The authors confirm contribution to the paper as follows: study conception and design: Amira M’hadbi, Haïkel Ben Hamed; numerical validation: Amira M’hadbi, Khalid Chtaibi; data collection: Amira M’hadbi; analysis and interpretation of results: Amira M’hadbi, Mohammed El Ganaoui, Amenallah Guizani; draft manuscript preparation: Amira M’hadbi. All authors reviewed the results and approved the final version of the manuscript.
Availability of Data and Materials: Should a request be made for data used in the study, the authors will endeavor to make the information available.
Conflicts of Interest: The authors declare that they have no conflicts of interest to report regarding the present study.
References
1. Baïri A, Zarco-Pernia E, de María MG. A review on natural convection in enclosures for engineering applications. The particular case of the parallelogrammic diode cavity. Appl Therm Eng. 2014 Feb 05;63(1):304–22. doi:10.1016/j.applthermaleng.2013.10.065. [Google Scholar] [CrossRef]
2. Sundar LS, Farooky MH, Sarada SN, Singh MK. Experimental thermal conductivity of ethylene glycol and water mixture based low volume concentration of Al2O3 and CuO nanofluids. Int Commun Heat Mass Transf. 2013;41:41–6. doi:10.1016/j.icheatmasstransfer.2012.11.004. [Google Scholar] [CrossRef]
3. Lomascolo M, Colangelo G, Milanese M, de Risi A. Review of heat transfer in nanofluids: conductive, convective and radiative experimental results. Renew Sustain Energ Rev. 2015;43:1182–98. doi:10.1016/j.rser.2014.11.086. [Google Scholar] [CrossRef]
4. Ali B, Naqvi RA, Ali L, Abdal S, Hussain S. A comparative description on time-dependent rotating magnetic transport of a water base liquid H2O with hybrid nano-materials Al2O3-Cu and Al2O3-TiO2 over an extending sheet using Buongiorno model: finite element approach. Chin J Phys. 2021;70:125–39. doi:10.1016/j.cjph.2020.12.022. [Google Scholar] [CrossRef]
5. Islam MS, Islam S, Siddiki MNAA. Numerical simulation with sensitivity analysis of MHD natural convection using Cu-TiO2-H2O hybrid nanofluids. Int J Thermofluids. 2023;20:100509. doi:10.1016/j.ijft.2023.100509. [Google Scholar] [CrossRef]
6. Rajesh V, Öztop HF. Heat transfer in a non-isothermal walled square closed space filled with ternary hybrid nanofluids. Chem Phys. 2024;577:112133. doi:10.1016/j.chemphys.2023.112133. [Google Scholar] [CrossRef]
7. Abouali O, Ahmadi G. Computer simulations of natural convection of single phase nanofluids in simple enclosures: a critical review. Appl Therm Eng. 2012;36:1–13. doi:10.1016/j.applthermaleng.2011.11.065. [Google Scholar] [CrossRef]
8. Alsabery AI, Abosinnee AS, Al-Hadraawy SK, Ismael MA, Fteiti MA, Hashim I, et al. Convection heat transfer in enclosures with inner bodies: a review on single and two-phase nanofluid models. Renew Sustain Energ Rev. 2023;183:113424. doi:10.1016/j.rser.2023.113424. [Google Scholar] [CrossRef]
9. Snoussi L, Chouikh R, Ouerfelli N, Guizani A. Numerical simulation of heat transfer enhancement for natural convection in a cubical enclosure filled with Al2O3/water and Ag/water nanofluids. Phys Chem Liquids. 2016;54(6):703–16. doi:10.1080/00319104.2016.1149173. [Google Scholar] [CrossRef]
10. Bendaraa A, Charafi MM, Hasnaoui A. Numerical study of natural convection in a differentially heated square cavity filled with nanofluid in the presence of fins attached to walls in different locations. Phys Fluids. 2019 May;31(5):052003. doi:10.1063/1.5091709. [Google Scholar] [CrossRef]
11. Motlagh SY, Soltanipour H. Natural convection of Al2O3-water nanofluid in an inclined cavity using Buongiorno’s two-phase model. Int J Therm Sci. 2017;111:310–20. doi:10.1016/j.ijthermalsci.2016.08.022. [Google Scholar] [CrossRef]
12. Chtaibi K, Amahmid A, Dahani Y, Hasnaoui M, Hamed HB. Natural convection in a diamond-shaped receiving cavity heated from the bottom corner and filled with Fe3O4-H2O nanofluid in the presence of thermal radiation. Heat Transf Res. 2023;54(13):39–64. doi:10.1615/HeatTransRes.2023046669. [Google Scholar] [CrossRef]
13. Benzema M, Benkahla YK, Boudiaf A, Ouyahia SE, Ganaoui MEl. Magnetic field impact on nanofluid convective flow in a vented trapezoidal cavity using buongiorno’s mathematical model. EPJ Appl Phys. 2019;88(1):11101. doi:10.1051/epjap/2019190239. [Google Scholar] [CrossRef]
14. Houda Jalali HA. Analysis of the influence of viscosity and thermal conductivity on heat transfer by Al2O3-water nanofluid. Fluid Dyn Mater Proc. 2019;15(3):253–70. doi:10.32604/fdmp.2019.03896. [Google Scholar] [CrossRef]
15. Ma Y, Mohebbi R, Rashidi MM, Yang Z. Simulation of nanofluid natural convection in a U-shaped cavity equipped by a heating obstacle: effect of cavity’s aspect ratio. J Taiwan Inst Chem Eng. 2018;93:263–76. doi:10.1016/j.jtice.2018.07.026. [Google Scholar] [CrossRef]
16. Aleem M, Asjad MI, Shaheen A, Khan I. MHD influence on different water based nanofluids (TiO2, Al2O3, CuO) in porous medium with chemical reaction and newtonian heating. Chaos Solitons Fractals. 2020;130:109437. doi:10.1016/j.chaos.2019.109437. [Google Scholar] [CrossRef]
17. Faraz N, Nisar MS, Khan Y, Hussain A, Iqbal K. Natural convection of Cu-H2O nanofluid inside hexagonal enclosure fitted with a square cavity with a non-uniformly heated wall(s). Results Phys. 2023 Aug;51:106648. doi:10.1016/J.RINP.2023.106648. [Google Scholar] [CrossRef]
18. Turan O, Sachdeva A, Chakraborty N, Poole RJ. Laminar natural convection of power-law fluids in a square enclosure with differentially heated side walls subjected to constant temperatures. J Nonnewton Fluid Mech.Sep 2011;166(17–18):1049–63. doi:10.1016/j.jnnfm.2011.06.003. [Google Scholar] [CrossRef]
19. Acharya S, Dash SK. Natural convection in a cavity with undulated walls filled with water-based non-Newtonian power-law CuO-water nanofluid under the influence of the external magnetic field. Numeri Heat Transf A Appl. 2019;76(7):552–75. doi:10.1080/10407782.2019.1644898. [Google Scholar] [CrossRef]
20. Ali FH, Hamzah HK, Egab K, Arıcı M, Shahsavar A. Non-Newtonian nanofluid natural convection in a U-shaped cavity under magnetic field. Int J Mech Sci. Nov 2020;186:105887. doi:10.1016/j.ijmecsci.2020.105887. [Google Scholar] [CrossRef]
21. Parvin S, Roy NC, Saha LK. Natural convective non-Newtonian nanofluid flow in a wavy-shaped enclosure with a heated elliptic obstacle. Heliyon. 2023 Jun;9(6):e16579. doi:10.1016/j.heliyon.2023.e16579. [Google Scholar] [PubMed] [CrossRef]
22. Jain S, Bhargava R. Natural convection flow on a bent wavy vertical enclosure filled with power-law nanofluid simulated by element free galerkin method. Math Comput Simul. 2023;205:970–86. doi:10.1016/j.matcom.2022.10.033. [Google Scholar] [CrossRef]
23. Elatar A, Teamah MA, Hassab MA. Numerical study of laminar natural convection inside square enclosure with single horizontal fin. Int J Therm Sci. 2016;99:41–51. doi:10.1016/j.ijthermalsci.2015.08.003. [Google Scholar] [CrossRef]
24. Saravanan S, Sivaraj C. Coupled thermal radiation and natural convection heat transfer in a cavity with a heated plate inside. Int J Heat Fluid Flow. 2013 Apr;40:54–64. doi:10.1016/j.ijheatfluidflow.2013.01.007. [Google Scholar] [CrossRef]
25. Mahalakshmi T, Nithyadevi N, Oztop HF, Abu-Hamdeh N. Natural convective heat transfer of Ag-water nanofluid flow inside enclosure with center heater and bottom heat source. Chin J Phys. 2018;56(4):1497–507. doi:10.1016/j.cjph.2018.06.006. [Google Scholar] [CrossRef]
26. Islam T, Alam MN, Asjad MI, Parveen N, Chu YM. Heatline visualization of MHD natural convection heat transfer of nanofluid in a prismatic enclosure. Sci Rep. 2021;11(1):10972. doi:10.1038/s41598-021-89814-z. [Google Scholar] [PubMed] [CrossRef]
27. Khan SA, et al. Computational analysis of natural convection with water based nanofluid in a square cavity with partially active side walls: applications to thermal storage. J Mol Liq. 2023;382:122003. doi:10.1016/j.molliq.2023.122003. [Google Scholar] [CrossRef]
28. Saha T, Islam T, Yeasmin S, Parveen N. Thermal influence of heated fin on MHD natural convection flow of nanofluids inside a wavy square cavity. Int J Thermofluids. 2023;18:100338. doi:10.1016/j.ijft.2023.100338. [Google Scholar] [CrossRef]
29. Tiwari RK, Das MK. Heat transfer augmentation in a two-sided lid-driven differentially heated square cavity utilizing nanofluids. Int J Heat Mass Transf. 2007;50(9):2002–18. doi:10.1016/j.ijheatmasstransfer.2006.09.034. [Google Scholar] [CrossRef]
30. Aghamajidi M, Yazdi M, Dinarvand S, Pop I. Tiwari-Das nanofluid model for magnetohydrodynamics (MHD) natural-convective flow of a nanofluid adjacent to a spinning down-pointing vertical cone. Propulsion Power Res. 2018;7(1):78–90. doi:10.1016/j.jppr.2018.02.002. [Google Scholar] [CrossRef]
31. Alsabery AI, Chamkha AJ, Saleh H, Hashim I. Transient natural convective heat transfer in a trapezoidal cavity filled with non-Newtonian nanofluid with sinusoidal boundary conditions on both sidewalls. Powder Technol. Feb 2017;308:214–34. doi:10.1016/j.powtec.2016.12.025. [Google Scholar] [CrossRef]
32. Kumar A, Sinha MK. Buoyancy driven flow through a square enclosure. Mater Today Proc. 2022;56:2780–4. doi:10.1016/j.matpr.2021.10.091. [Google Scholar] [CrossRef]
33. Almensoury MF, Hashim AS, Hamzah HK, Ali FH. Numerical investigation of natural convection of a non-Newtonian nanofluid in an F-shaped porous cavity. Heat Transfer. 2021;50(3):2403–26. doi:10.1002/htj.21984. [Google Scholar] [CrossRef]
34. Xuan Y, Roetzel W. Conceptions for heat transfer correlation of nanofluids. Int J Heat Mass Transf. 2000;43(19):3701–7. doi:10.1016/S0017-9310(99)00369-5. [Google Scholar] [CrossRef]
35. Dinarvand S, Behrouz M, Ahmadi S, Ghasemi P, Noeiaghdam S, Fernandez-Gamiz U. Mixed convection of thermomicropolar AgNPs-GrNPs nanofluid: an application of mass-based hybrid nanofluid model. Case Stud Therm Eng. 2023;49:103224. doi:10.1016/j.csite.2023.103224. [Google Scholar] [CrossRef]
36. Hamilton RL, Crosser OK. Thermal conductivity of heterogeneous two-component systems. Ind Eng Chem Fundam. 1962;1(3):187–91. doi:10.1021/i160003a005. [Google Scholar] [CrossRef]
37. Ho CJ, Chen MW, Li ZW. Numerical simulation of natural convection of nanofluid in a square enclosure: effects due to uncertainties of viscosity and thermal conductivity. Int J Heat Mass Transf. Aug 2008;51(17–18):4506–16. doi:10.1016/j.ijheatmasstransfer.2007.12.019. [Google Scholar] [CrossRef]
38. Ghasemi B, Aminossadati SM, Raisi A. Magnetic field effect on natural convection in a nanofluid-filled square enclosure. Int J Therm Sci. Sep 2011;50(9):1748–56. doi:10.1016/j.ijthermalsci.2011.04.010. [Google Scholar] [CrossRef]
39. Brinkman HC. The viscosity of concentrated suspensions and solutions. J Chem Phys. Dec 2004;20(4):571. doi:10.1063/1.1700493. [Google Scholar] [CrossRef]
40. Dutta S, Goswami N, Biswas AK, Pati S. Numerical investigation of magnetohydrodynamic natural convection heat transfer and entropy generation in a rhombic enclosure filled with Cu-water nanofluid. Int J Heat Mass Transf. 2019;136:777–98. doi:10.1016/j.ijheatmasstransfer.2019.03.024. [Google Scholar] [CrossRef]
Cite This Article
![cc](https://www.techscience.com/static/images/cc.jpg?t=20230215)
This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.