Exploring Thermodynamic Process in Hybrid Nanofluid Flow through Porous Materials Using Multi-Objective Support Vector Machine
| Authors | Rishabh Chaturvedi1, Meka Umareddy2, Rajan Verma3, Nittin Sharma4, Yatika Gori5, A Kakoli Rao6, Akhil Sankhyan7 , P. William8 |
| Affiliations |
1Department of Mechanical Engineering, GLA University, Mathura- 281406, Uttar Pradesh, India 2University of Technology and Applied Sciences, Salalah, India 3Chitkara Centre for Research and Development, Chitkara University, Himachal Pradesh, 174103, India 4Centre of Research Impact and Outcome, Chitkara University, Rajpura- 140417, Punjab, India 5Department of Mechanical Engineering, Graphic Era Deemed to be University, Dehradun, India 6Lloyd Institute of Engineering & Technology, Greater Noida, India 7Lloyd Law College, Greater Noida, India 8Department of Information Technology, Sanjivani College of Engineering, Kopargaon, MH, India |
| Е-mail | rishabh.chaturvedi@gla.ac.in |
| Issue | Volume 16, Year 2024, Number 6 |
| Dates | Received 28 August 2024; revised manuscript received 16 December 2024; published online 23 December 2024 |
| Citation | Rishabh Chaturvedi, Meka Umareddy, et al., J. Nano- Electron. Phys. 16 No 6, 06033 (2024) |
| DOI | https://doi.org/10.21272/jnep.16(6).06033 |
| PACS Number(s) | 05.70.Np, 68.35.Md, 83.10. – y |
| Keywords | Thermodynamic (6) , Nanofluid, Shear stress, Nusselt, Porous structures. |
| Annotation |
Thermodynamic processes in the location of hybrid Nano fluid flow through porous materials. It probably appears the way Nano fluids behave and interact in porous structures while consuming thermodynamics. The fluid dynamics and heat transfer, as well as possibly improving the system for particular applications. The purpose of this research is to clarify the behavior and interactions of nanofluidsin porous structures by examining the thermodynamic processes of hybrid nanofluid flow through porous materials. In this paper, we proposed multi-objective support vector machine (MSVM) techniques for thermodynamic processes in Nano fluid through porous materials. The technique's predictions were thoroughly examined and verified against the computational data. Then, shear stress across the cylinder, nusselt and bejan number, and thermal field behaviors were estimated using the validated prediction method. Our method delivers a huge efficiency improvement by reducing processing time over 92 %. We effectively present correlations in numerical order of accuracy when faced with a growing set of variables. This emphasizes the way of useful and powerful created predictive technique. It is noteworthy that it is a strong alternative that outperforms classical statistical techniques in the field of equipment for processing design. In the final analysis, our proposed method is a unique and useful way to handle challenging layout circumstances. |
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List of References |
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