Computation insight of modified thermal distribution of hybrid nanofluids in complex wavy channel: A comparative thermal approach for different nanofluid models

Document Type : Article

Authors

1 Department of Mathematics, Mirpur university of Science and Technology, Mirpur, Pakistan

2 Department of Mathematics, University of Azad Jammu and Kashmir Muzaffarabad, Pakistan

3 Department of Mathematics, Namal University, Mianwali 42250, Pakistan

4 Department of Mechanical Engineering, College of Engineering, Imam Mohammad Ibn Saud Islamic University, Riyadh 11432, Saudi Arabia

5 Department of Mechanical Engineering, College of Engineering, University of Ha’il, Ha’il City 81451, Saudi Arabia

Abstract

Owing to enhanced thermal mechanism of nanomaterials, the researchers are continuously exploring the novel features of nanofluids and claiming multidisciplinary applications in solar systems, engineering processes, energy devices and automobile industries. The experimentally supported research proves that with interaction of different types of nanoparticles is more effective to enhance the thermal transportation phenomenon. Following such motivations in mind, the aim of present continuation is exploring the thermal impact of modified hybrid nanofluid model in complex vertical
channel. Due to high thermal performances, copper (CuO), copper oxide (CuO) and aluminum oxide Al2O3 nanoparticles explore the thermal behavior of modified hybrid nanofluid model. The vertical channel confined the sinusoidal waves on walls. The flow phenomenon is based on peristaltic transport associated to the human body system. The consideration of small Reynolds number hypothesis and larger wavelength approach, the implication of problem has been done. The modeled equations are tackled with shooting technique. Various stream functions with applications of peristaltic transport phenomenon are developed. It is observed that heat transfer is larger in the curved channel as compared to the straight channel. The decomposition of modified hybrid nanoparticles is more effective to improve the heat transfer pattern more effectively.

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Main Subjects

References

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Scientia Iranica
Volume 31, Issue 20
Transactions on Mechanical Engineering (B)
November and December 2024
Pages 1926-1938

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  • Receive Date: 14 August 2022
  • Revise Date: 28 March 2023
  • Accept Date: 07 October 2023

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