2020
DOI: 10.1002/htj.21673
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Jeffrey nanofluid flow near a Riga plate: Spectral quasilinearization approach

Abstract: This article attempts to report the flow mechanism of Jeffrey nanofluid flow on a Riga plate integrating the influences of viscous dissipation, irregular heat source/ sink, Brownian motion, and thermophoretic force. Nondimensionalization of mathematical model describing the flow system is accomplished by a set of compatible transformations. An accurate solution of ordinary differential equations is achieved by practicing spectral quasilinearization method. The present method is capable of giving results with g… Show more

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Cited by 14 publications
(4 citation statements)
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“…Then, starting from initial guesses, we obtain approximate solutions for uðx, z, tÞ, wðx, z, tÞ, Tðx, z, tÞ, θðx, z, tÞ, and Cðx, z, tÞ by iteratively solving the matrix equations ( 73), ( 81), ( 91), (99), and (107), in turn, for s = 0, 1, 2, ⋯. We only confirm convergence to the expected solutions by measuring the norm residual errors of the difference between successive iterations as defined in (64).…”
Section: Stabilitymentioning
confidence: 99%
See 1 more Smart Citation
“…Then, starting from initial guesses, we obtain approximate solutions for uðx, z, tÞ, wðx, z, tÞ, Tðx, z, tÞ, θðx, z, tÞ, and Cðx, z, tÞ by iteratively solving the matrix equations ( 73), ( 81), ( 91), (99), and (107), in turn, for s = 0, 1, 2, ⋯. We only confirm convergence to the expected solutions by measuring the norm residual errors of the difference between successive iterations as defined in (64).…”
Section: Stabilitymentioning
confidence: 99%
“…Motsa [63] presented and compared the spectral relaxation method (SRM) and spectral local quasilinearization method (SQLM) for solving unsteady boundary layer flow problems. Ansari et al [64] studied the Jeffrey nanofluid flow near a Riga plate using the SQLM. Motsa [63] and Magagula et al [65] proposed a bivariate-SQLM (BI-SQLM) to solve nonlinear PDEs.…”
Section: Introductionmentioning
confidence: 99%
“…The similarity transformations employed on the controlling flow Equations (3)–(8), and the temperature‐dependent function for dynamic viscosity and thermal conductivity are: 10,17–19,26,29,32 truerightcenterleftμ(trueΘ¯)=μ0MathClass-open[1+m1(trueΘ¯wnormalΘtrue¯)MathClass-close],κ(trueΘ¯)=κ0MathClass-open[1+m2(normalΘtrue¯trueΘ¯)MathClass-close],rightcenterleftF1true¯=r1xF1(η),F2true¯=r1yF2(η),F3true¯=(r1ν)12false[F1(η)+F2(η)false],rightcenterleftη=z)(r1ν12,Θ(η)=normalΘtrue¯trueΘ¯trueΘ¯wtrueΘ¯,Φ(η)=normalΦtrue¯trueΦ¯trueΦ¯wtrueΦ¯. $\begin{array}{rcl} &amp...…”
Section: Model Formulation Analysismentioning
confidence: 99%
“…From their findings, the flow speed is found to improve by the direction of the force of Lorentz towards the mainstream speed. Impacts of both modified heat flux and Riga plate are elucidated in the examination of combined joule heating and viscous dissipation by Shamshuddin et al 13,14 Recent investigations on the Riga surface impact include Gireesha et al, 15 Shah et al, 16 Abdul Hakeem et al, 17 Fatunmbi and Adeosun, 18 Ansari et al, 19 Eid 20 and so on.…”
Section: Introductionmentioning
confidence: 99%