Predicting the effect of functionalized multi-walled carbon nanotubes on thermal performance factor of water under various Reynolds number using artificial neural network

2019 ◽  
Vol 521 ◽  
pp. 493-500 ◽  
Author(s):  
Abdulwahab A. Alnaqi ◽  
Sina Sayyad Tavoos Hal ◽  
Alireza Aghaei ◽  
Mehdi Soltanimehr ◽  
Masoud Afrand ◽  
...  
Keyword(s):  
Neural Network ◽  
Carbon Nanotubes ◽  
Artificial Neural Network ◽  
Reynolds Number ◽  
Thermal Performance ◽  
Performance Factor ◽  
Thermal Performance Factor ◽  
Multi Walled Carbon Nanotubes ◽  
Artificial Neural ◽  
Walled Carbon Nanotubes

scholarly journals Artificial neural network for predictive synthesis of single-walled carbon nanotubes by aerosol CVD method

Carbon ◽  
2019 ◽  
Vol 153 ◽  
pp. 100-103 ◽  
Author(s):  
Vsevolod Ya Iakovlev ◽  
Dmitry V. Krasnikov ◽  
Eldar M. Khabushev ◽  
Julia V. Kolodiazhnaia ◽  
Albert G. Nasibulin
Keyword(s):  
Neural Network ◽  
Carbon Nanotubes ◽  
Artificial Neural Network ◽  
Single Walled Carbon Nanotubes ◽  
Single Walled Carbon ◽  
Cvd Method ◽  
Artificial Neural ◽  
Walled Carbon Nanotubes

scholarly journals Simulation approach on turbulent thermal performance factor of Al2O3-Cu/water hybrid nanofluid in circular and non-circular ducts

2021 ◽  
Vol 3 (3) ◽  
Author(s):  
Ing Jiat Kendrick Wong ◽  
Ngieng Tze Angnes Tiong
Keyword(s):  
Heat Transfer ◽  
Reynolds Number ◽  
Pressure Drop ◽  
Thermal Performance ◽  
Heat Transfer Performance ◽  
Pure Water ◽  
Hybrid Nanofluid ◽  
Performance Factor ◽  
Thermal Performance Factor ◽  
The Heat Transfer Coefficient

AbstractThis paper presents the numerical study of thermal performance factor of Al2O3-Cu/water hybrid nanofluid in circular and non-circular ducts (square and rectangular). Turbulent regime is studied with the Reynolds number ranges from 10000 to 100000. The heat transfer performance and flow behaviour of hybrid nanofluid are investigated, considering the nanofluid volume concentration between 0.1 and 2%. The thermal performance factor of hybrid nanofluid is evaluated in terms of performance evaluation criteria (PEC). This present numerical results are successfully validated with the data from the literature. The results indicate that the heat transfer coefficient and Nusselt number of Al2O3-Cu/water hybrid nanofluid are higher than those of Al2O3/water nanofluid and pure water. However, this heat transfer enhancement is achieved at the expense of an increased pressure drop. The heat transfer coefficient of 2% hybrid nanofluid is approximately 58.6% larger than the value of pure water at the Reynolds number of 10000. For the same concentration and Reynolds number, the pressure drop of hybrid nanofluid is 4.79 times higher than the pressure drop of water. The heat transfer performance is the best in the circular pipe compared to the non-circular ducts, but its pressure drop increment is also the largest. The hybrid nanofluid helps to improve the problem of low heat transfer characteristic in the non-circular ducts. In overall, the hybrid nanofluid flow in circular and non-circular ducts are reported to possess better thermal performance factor than that of water. The maximum attainable PEC is obtained by 2% hybrid nanofluid in the square duct at the Reynolds Number of 60000. This study can help to determine which geometry is efficient for the heat transfer application of hybrid nanofluid.

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