2022
DOI: 10.1016/j.tsep.2022.101337
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Adaptive simulations to pressure distribution for creeping motion of Carreau nanofluid with variable fluid density effects: Physiological applications

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Cited by 12 publications
(5 citation statements)
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“…Figure 10 shows that the fluid pressure gradient is a decreasing function in high values of the Forschheimer number. Equations ( 14) and (15) show that The ascending values of unknown material parameters (α μ , ) and synovial parameter W e are studied versus the Shear rate profile of synovial fluid distribution via Figures 13-15. The solution is offered in the solution interval [−1,1].…”
Section: Discussion and Analyticsmentioning
confidence: 99%
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“…Figure 10 shows that the fluid pressure gradient is a decreasing function in high values of the Forschheimer number. Equations ( 14) and (15) show that The ascending values of unknown material parameters (α μ , ) and synovial parameter W e are studied versus the Shear rate profile of synovial fluid distribution via Figures 13-15. The solution is offered in the solution interval [−1,1].…”
Section: Discussion and Analyticsmentioning
confidence: 99%
“…The pressure gradient is obtained by Equation (15), and by eliminating from Equation (15), and ( 16) we have,…”
Section: Problem Modelingmentioning
confidence: 99%
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“…They state that the axial velocity is conversely proportional to the non-uniformity parameter. Ibrahim 5 deliberated the first idea of changing the fluid density in the MHD peristaltic flow of Carreau fluid. It’s found that the temperature-dependent fluid and concentration-dependent fluid parameters improve the fluid temperature and give a fluid particle more active energy.…”
Section: Introductionmentioning
confidence: 99%