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On the Use of Wavelets for Analysis of Nanofluid Flow and Thermal Transmission Through Asymmetric Porous Channel

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Abstract

The present work analyses the unsteady nanofluid flow and thermal transmission through an asymmetric porous channel using wavelet collocation method. The nanofluid considered herein is water mixed with Cu-nanoparticles. These types of problems have been solved by Galerkin and least square methods. The main aim of this work is to overcome the limitations of these methods via scale-3 Haar wavelets-based method. Using similarity transformation, the two-dimensional nanofluid flow problem has been transformed into coupled non-linear ordinary differential equations (ODEs), which have been solved employing wavelet collocation method. The wavelets are chosen to be uniform scale-3 Haar wavelets. The influence of various emerging parameters on velocity and temperature profile has been analysed. For some special cases, the results obtained have been compared with exact solutions. An excellent agreement shows the accuracy and versatility of the present method.

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Abbreviations

\(s\) :

Solid

\(f\) :

Base Fluid

\(nf\) :

Nanofluid

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Acknowledgements

The work is supported by University Grant Commission under D. S. Kothari Postdoctoral Fellowship scheme with grant No. MA/18-19/0013 (S-78).

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Correspondence to Sapna Pandit.

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Research Statement: Investigation of the influence of various emerging parameters, such as expansion ratio, Reynolds number, nanoparticle volume fraction and temperature power index on thermal transmission and nanofluid flow through an asymmetric porous channel is analysed. Governing PDEs have been transformed in system of ODEs using similarity transformation. Then, wavelet collocation method has been employed to compute the solutions of coupled non-linear ODEs. Validation of wavelet method has been demonstrated through numerical results as well as graphs.

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Pandit, S., Sharma, S. On the Use of Wavelets for Analysis of Nanofluid Flow and Thermal Transmission Through Asymmetric Porous Channel. Proc. Natl. Acad. Sci., India, Sect. A Phys. Sci. 92, 571–583 (2022). https://doi.org/10.1007/s40010-022-00773-0

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