2020
DOI: 10.1007/s13369-020-04359-z
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A New Model and Analysis for Peristalsis of Carreau–Yasuda (CY) Nanofluid Subject to Wall Properties

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Cited by 31 publications
(6 citation statements)
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“…Manjunatha et al [13] inquired peristalsis motion of Jeffery fluid through non-uniform porous medium. Kayani et al [14] achieved numerical solutions for peristaltic transport of Carreau-Yasuda nanomaterial with compliant wall. Nanofluid is the new medium for heat transfer that is uniform, stable and distributed into foundation materials by nanoparticles size (< 100 nm) Research in the past indicates that nanofluids can be used in thermal engineering applications in order to transfer the heat efficiently.…”
Section: Introductionmentioning
confidence: 99%
“…Manjunatha et al [13] inquired peristalsis motion of Jeffery fluid through non-uniform porous medium. Kayani et al [14] achieved numerical solutions for peristaltic transport of Carreau-Yasuda nanomaterial with compliant wall. Nanofluid is the new medium for heat transfer that is uniform, stable and distributed into foundation materials by nanoparticles size (< 100 nm) Research in the past indicates that nanofluids can be used in thermal engineering applications in order to transfer the heat efficiently.…”
Section: Introductionmentioning
confidence: 99%
“…where λ, c, and a denote wavelength, wave speed, and amplitude, respectively. The related expressions for Carreau-Yasuda fluid S are defined by [31,32].…”
Section: Problem Formulationmentioning
confidence: 99%
“…Following are the relevant equations of current problem [3, 11, 38, 40] uxbadbreak+vygoodbreak=0,$$\begin{equation} \frac{{\partial u}}{{\partial x}} + \frac{{\partial v}}{{\partial y}} = 0, \end{equation}$$ ρfut+uux+vuy=px+Sxxx+SxyyσB02(1+m2)false(ugoodbreak−mvfalse)+gρfβTfalse(Tgoodbreak−T0false)+gρfβCfalse(Cgoodbreak−C0false),$$\begin{eqnarray} {\rho }_f\left( {\frac{{\partial u}}{{\partial t}} + u\frac{{\partial u}}{{\partial x}} + v\frac{{\partial u}}{{\partial y}}} \right) = - \frac{{\partial p}}{{\partial x}} + \frac{{\partial {S}_{xx}}}{{\partial x}} + \frac{{\partial {S}_{xy}}}{{\partial y}} - \frac{{\sigma B_0^2}}{{(1 + {m}^2)}}(u - mv) + g{\rho }_f{\beta }_T(T - {T}_0) + g{\rho }_f{\beta }_C(C - {C}_0), \end{eqnarray}$$ ρf()vtgoodbreak+uvx+vvybadbreak=pygoodbreak+Syxxgoodbreak+Syy…”
Section: Formulationmentioning
confidence: 99%