Heat transfer analysis in the engine-based oil-based hybrid nanofluid flow between two spinning disks: Probed by artificial neural network
Shahzad Khattak
School of Mathematical Sciences, Jiangsu University, Zhenjiang, Jiangsu, China
Search for more papers by this authorWaseem
School of Mechanical Engineering, Jiangsu University, Zhenjiang, Jiangsu, China
Search for more papers by this authorCorresponding Author
Asad Ullah
School of Finance and Economics, Jiangsu University, Zhenjiang, Jiangsu, China
Department of Mathematical Sciences, University of Lakki Marwat, Lakki Marwat, Khyber Pakhtunkhwa, Pakistan
Correspondence
Asad Ullah, School of Finance and Economics, Jiangsu University, 301, Xuefu Road, Jingkou District, Zhenjiang, 212013, Jiangsu, China.
Email: [email protected]
Search for more papers by this authorIkramullah
Department of Physics, Kohat University of Science & Technology, KUST, Kohat, Khyber Pakhtunkhwa, Pakistan
Search for more papers by this authorAli Althobaiti
Department of Mathematics, College of Science, Taif University, Taif, Saudi Arabia
Search for more papers by this authorHamiden Abd El-Wahed Khalifa
Department of Mathematics, College of Science, Qassim University, Buraydah, Saudi Arabia
Search for more papers by this authorMoodi Abdulrahman Abdullah Al-Rajeh
Department of Mathematics, College of Science, Qassim University, Buraydah, Saudi Arabia
Search for more papers by this authorShahzad Khattak
School of Mathematical Sciences, Jiangsu University, Zhenjiang, Jiangsu, China
Search for more papers by this authorWaseem
School of Mechanical Engineering, Jiangsu University, Zhenjiang, Jiangsu, China
Search for more papers by this authorCorresponding Author
Asad Ullah
School of Finance and Economics, Jiangsu University, Zhenjiang, Jiangsu, China
Department of Mathematical Sciences, University of Lakki Marwat, Lakki Marwat, Khyber Pakhtunkhwa, Pakistan
Correspondence
Asad Ullah, School of Finance and Economics, Jiangsu University, 301, Xuefu Road, Jingkou District, Zhenjiang, 212013, Jiangsu, China.
Email: [email protected]
Search for more papers by this authorIkramullah
Department of Physics, Kohat University of Science & Technology, KUST, Kohat, Khyber Pakhtunkhwa, Pakistan
Search for more papers by this authorAli Althobaiti
Department of Mathematics, College of Science, Taif University, Taif, Saudi Arabia
Search for more papers by this authorHamiden Abd El-Wahed Khalifa
Department of Mathematics, College of Science, Qassim University, Buraydah, Saudi Arabia
Search for more papers by this authorMoodi Abdulrahman Abdullah Al-Rajeh
Department of Mathematics, College of Science, Qassim University, Buraydah, Saudi Arabia
Search for more papers by this authorAbstract
A time-dependent mixed convective hybrid nanofluid (HNF) ( /Engine oil) flow between two spinning disks is considered. The physical problem is modeled and transformed into a non-dimensional ordianary differential equation system to reduce the complexity. A modified Devi and Devi's model is utilized for the nanofluid properties. The cylindrical shape nanoparticles are considered for the analysis of the various pertinent parameters. The base fluid is considered as the engine oil to briefly explain its thermal behavior. One of the famous optimization algorithms Levenberg–Marquardt is used to train the artificial neural network with the data achieved from the numerical results to analyze the various states of the HNF. The results for the state variables as well as nanoparticle shapes are displayed through graphs and tables. The enhancement of the expansion parameter () causes to augment, then drop and augment again the velocity gradient with the increasing distance between the disks. The temperature of the fluid initially drop and then enhances with the rising strength of (). The rising concentration of the nanomaterial associated with the higher values of volume fraction parameter () enhances the temperature distribution of the HNF. The results obtained show that the smaller nanoparticles concentration will keep the engine at a lower state of temperature. The results are validated through graphs in each case by providing the validation and absolute error graphs.
CONFLICT OF INTEREST STATEMENT
The authors declare no conflict of interest.
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