[2] Barai R, Kumar D, Wankhade A.V (2023) Heat transfer performance of nanofluids in heat exchanger: a review.
Journal of Thermal Engineering, 9 (1): 86–106. https://doi.org/
10.18186/thermal.1243398.
[5] Gupta N. K, Tiwari A. K, Ghosh S. K (2018) Heat transfer mechanisms in heat pipes using nanofluids– A review. Exp Therm Fluid Sci 90:84–100.
https://doi.org/10.1016/j.expthermflusci.2017.08.013.
[6] Masuda H, Ebata A, Teramae K,
Hishinuma N (1993) Alteration of thermal conductivity and viscosity of liquid by dispersing ultrafine particles (dispersion of-Al2O3, SiO2, and TiO2 ultra-fine particles). Netsu Bussei 7 (4): 227–233.
https://doi.org/10.2963/jjtp.7.227
[7] Xian-Ju W, Xin-Fang L (2009) Influence of pH on nanofluids’ viscosity and thermal conductivity. Chinese Phys Lett 26:056601. https://doi.org/10.1088/0256-307X/26/5/056601.
[8] Ettefaghi E, Ghobadian B, Rashidi A, Najafi G, Khoshtaghaza M.H, Pourhashem S (2017) Preparation and investigation of the heat transfer properties of a novel nanofluid based on graphene quantum dots. Energy Convers Manag 153:215–223.
https://doi.org/10.1016/j.enconman.2017.10.010.
[9] Esfahani N. N, Toghraie D, Afrand M (2018) A new correlation for predicting the thermal conductivity of ZnO–Ag (50%–50%)/water hybrid nanofluid: An experimental study. Powder Technol 323:367– 373.
https://doi.org/10.1016/j.powtec.2017.10.025.
[10] Shah A.H, Memon L. A, Bhangwar S, Ghoto S.M, Baloch M.S (2024) Impact of Nanoparticles in Water Coolant on Heat Transfer Rate in Parallel and Counter Flow Heat Exchanger.
Journal of applied engineering & technology 8(1):81-95. https://doi.org/
10.55447/jaet.08.01.123.
[11] Raza J, Mustafa F, Lund L. A, Shah Z, Alshehri M. H, Vrinceanu N (2024) Optimization of Heat Transfer Rate of Trihybrid Nanofluid Embedded Between Two Horizontal Coaxial Cylinders By RSM.
Case Studies in Thermal Engineering 60:104637.
https://doi.org/10.1016/j.csite.2024.104637.
[12] Panda S, Ontela S, Pattnaik P. K, Mishra S. R (2024) Optimizing heat transfer rate with sensitivity analysis on nonlinear radiative hydromagnetic hybrid nanofluid flow considering catalytic effects and slip condition: Hamilton–Crosser and Yamada–Ota modelling. Journal of Applied Mathematics and Mechanics 104 (7) e202301064.
https://doi.org/10.1002/zamm.202301064.
[13] Ajey, C. P., Shivalingaiah, K., Chalageri, G. R., Malladad, S. K., Shetty, K. G., Vikas, G., & Ashok, R. B. (2024). Performance Analysis of Double Pipe Heat Exchanger Using Nano Fluids. Journal of Mines, Metals and Fuels. 72(3): 211–224. https://doi.org/10.18311/jmmf/2024/42128.
[14] Shah S.A, Kanwal S, Idrees M, Mahmood A, Mahmood I, Akgul A, Bariq A (2023) Significance of heat transfer rate in water-based nanoparticles with magnetic and shape factors effects: Tiwari and Das model.
Scientific Reports 13:15507. https://doi.org/10.1038/s41598-023-42480-9.
[15] Mohammed H.I, Giddings D, Walker G.S (2018) CFD simulation of a concentrated salt nanofluid flow boiling in a rectangular tube.
International Journal of Heat and Mass Transfer.
125:218-228.
https://doi.org/10.1016/j.ijheatmasstransfer.2018.04.069.
[16] Sharifi S, Aligoodarz
M.R , Rahbari
A (2022) Thermohydraulic performance of Al2O3-water nanofluid during single-phase flow and two-phase subcooled flow boiling. International Journal of Thermal Sciences
179:107605.
https://doi.org/10.1016/j.ijthermalsci.2022.107605.
[17] Pak B.C, Cho Y (1998) Hydrodynamic and heat transfer study of dispersed fluids with submicron metallic oxide particle. Exp. Heat Transfer. 11(2):151–170. https://doi.org/
10.1080/08916159808946559.
[18] Xuan Y, Roetzel W (2000) Conceptions for heat transfer correlation of nanofluids, Int. J. Heat Mass. 43 (19): 3701-3707.
https://doi.org/10.1016/S0017-9310(99)00369-5.
[19] Yu W, Choi S.U.S (2003) The role of interfacial in the enhancemened thermal conductivity of nanofluid, a renovated Maxwell model. J. Nanopart. Res. 5:167-17.
https://doi.org/10.1023/A:1024438603801.
[20] Rahimi M, Parvareh A (2007) CFD study on mixing by coupled jet-impeller mixers in a large crude oil storage tank.
Computers & Chemical Engineering 31(7):737-744.
https://doi.org/10.1016/j.compchemeng.2006.07.009