2020
DOI: 10.1038/s41598-020-65298-1
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Magnetic Dipole Impact on the Hybrid Nanofluid Flow over an Extending Surface

Abstract: The main features of present numerical model is to explore and compare the behavior of simple and hybrid nanoparticles, which were allowed to move on a spreading sheet. The effect of magnetic dipole on hybrid nanofluid flow is considered. A magnetic dipole combined with hybrid nanofluid plays a vital role in controlling the momentum and thermal boundary layers. In view of the impacts of a magnetic dipole on the simple and hybrid nanofluids, steady, laminar and boundary layer flow of $$Cu/{H}_{2}O$$Cu/H2O and $… Show more

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Cited by 86 publications
(53 citation statements)
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“…n n j k . Equations(22)-(23) are a decoupled linear PDEs system where the terms subscripted by n or n are known from the previous iteration or updated from the current iteration level, respectively, and the terms subscripted by + n 1 are the current approximation. To solve the linearized system (22)-(23), we employed CSM in η-direction and the two-point implicit finite difference method 50 in ξ-direction.…”
mentioning
confidence: 99%
“…n n j k . Equations(22)-(23) are a decoupled linear PDEs system where the terms subscripted by n or n are known from the previous iteration or updated from the current iteration level, respectively, and the terms subscripted by + n 1 are the current approximation. To solve the linearized system (22)-(23), we employed CSM in η-direction and the two-point implicit finite difference method 50 in ξ-direction.…”
mentioning
confidence: 99%
“…The series solution of the problem is obtained through the optimal HAM. The problem is solved through the HAM technique 46‐55 by utilizing Equations (12)–(14) with the limiting conditions (15). The trail solution is required for the HAM solution.…”
Section: Solution By Hammentioning
confidence: 99%
“…The problem is explained through the HAM 60 63 method. The detail of HAM for current modeled problem is describes as follows: …”
Section: Solution By Hammentioning
confidence: 99%