Modeling and analysis of thin film flow of Fuzzified Johnson Segalman nanofluid using fuzzy extension of He-Laplace scheme

Mubashir Qayyum, Aneeza Tahir, Abdul Bariq, Ali Akgül and Syed Tauseef Saeed

Mathematical and Computer Modelling of Dynamical Systems, 2023, vol. 29, issue 1, 286-314

Abstract: The concept of fuzzy calculus in fluid modelling offers a feasible approach to address ambiguity and uncertainty in physical phenomena. This study aims to model and analyse thin film flow of Johnson Segalman nonofluid (JSNF) on a vertical belt in fuzzy environment for lifting and drainage settings. By incorporating Triangular fuzzy numbers (TFNs), a more accurate representation of the uncertain nature of JSNF flow is obtained which leads to a better understanding of fluid behaviour and its potential applications. The fluid problems are modelled with uncertainties and numerically solved through fuzzy extension of He-Laplace algorithm. The validity and convergence of the proposed methodology is checked by computing residual errors in each case. The obtained solutions provide fuzzy velocity profiles and volumetric flow rates in lift and drain cases. As the parameter $r - cut$r−cut approaches 1, the velocity profiles at the upper and lower bounds merge, indicating solution consistency.

Date: 2023
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DOI: 10.1080/13873954.2023.2276440

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