2022
DOI: 10.1016/j.jocs.2022.101769
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Fractional analysis of Jeffrey fluid over a vertical plate with time-dependent conductivity and diffusivity: A low-cost spectral approach

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Cited by 11 publications
(3 citation statements)
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“…Thenmozhi et al [5] formulated the boundary layer mathematical equations of MHD Jeffery fluid with heat transport passing on the stretched porous surface. Usman et al [6] presented a fractional analysis study of Jeffery fluid which is moving on the vertical plate and the thermal conduction and diffusion are depending on time. The exploration of flow properties for the two immiscible fluids (Jeffery fluid and Phan-Thien-Tanner models) was investigated by Huang et al [7] which is moving in a channel due to ciliary beating.…”
Section: Introductionmentioning
confidence: 99%
“…Thenmozhi et al [5] formulated the boundary layer mathematical equations of MHD Jeffery fluid with heat transport passing on the stretched porous surface. Usman et al [6] presented a fractional analysis study of Jeffery fluid which is moving on the vertical plate and the thermal conduction and diffusion are depending on time. The exploration of flow properties for the two immiscible fluids (Jeffery fluid and Phan-Thien-Tanner models) was investigated by Huang et al [7] which is moving in a channel due to ciliary beating.…”
Section: Introductionmentioning
confidence: 99%
“…Nadeem [22] practiced the technique of the derivatives with fractional order on the periodic ows in an Oldroyd-B uid generated by an edge. Recently many researchers discussed the ows of non-Newtonian models by adopting distinct types of fractional derivatives [23][24][25][26][27].…”
Section: Introductionmentioning
confidence: 99%
“…For instance, Usman et al [8] employed Gegenbauer polynomials to solve nonlinear physical models, while Chakraborty and Jung [9] utilized Hermite, Legendre, Laguerre, Jacobi, and generalized Laguerre polynomials to model the impact of continuous random variables described by normal, uniform, exponential, beta, and gamma probability distributions, respectively. Feinberg and Langtangen [10] discussed the application of orthogonal polynomials for uncertainty quantification.…”
Section: Introductionmentioning
confidence: 99%