2022
DOI: 10.1016/j.jics.2022.100568
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Unsteady incompressible flow of magnetized aluminium oxide and titanium oxide nanoparticles with blood base fluid

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Cited by 5 publications
(5 citation statements)
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“…11) reduces to Tayamol et al[41].• For regular fluid 0 ( ) f = with zero mass transfer S 0 , ( ) = our solution reduces to Anderson et al[42].• For A A A our result is same as Crane et al[30].…”
supporting
confidence: 63%
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“…11) reduces to Tayamol et al[41].• For regular fluid 0 ( ) f = with zero mass transfer S 0 , ( ) = our solution reduces to Anderson et al[42].• For A A A our result is same as Crane et al[30].…”
supporting
confidence: 63%
“…Once the value of b is determined, then f is determined by equation (11) and the flow behavior is then obtained accordingly.…”
Section: An Analytical Solution For Momentum Profilementioning
confidence: 99%
See 1 more Smart Citation
“…Using the Prabhakar derivative along with precise fractional coefficients might be a valuable path for choosing suitable numerical models that are recognized as a good arrangement between trial and hypothetical outcomes [37,38]. Due to massive uses in fluid mechanics, researchers studied fractional models based on Caputo, CF, AB, and Prabhakar's time-fractional derivatives to study the memory effects of different Newtonian and non-Newtonian models in [39][40][41][42][43][44]. The carbon nanotube NF, along with Prabhakartype thermal transport and free convection flow, was deliberated by Elnaqeeb et al [45].…”
Section: Introductionmentioning
confidence: 99%
“…is survey is also protracted by applying modified Fourier and Fick's theories. Raza et al [34] considered the significance of a slip boundary wall and magnetized field over an inclined plate by implementing fractional derivatives obtained through the Laplace transformation scheme. Khan et al [35] deliberated magnetized couple stress nanoparticles with the features of numerous factors proficient with the Buongiorno model, which is simulated by homotopy procedures.…”
Section: Introductionmentioning
confidence: 99%