Entropy optimized dissipative CNTs based flow with probable error and statistical declaration

Khan, M. Ijaz; Ali, Arfan; Hayat, Tasawar; Alsaedi, Ahmed

doi:10.1016/j.cmpb.2019.105137

Cited by 1 publication

(2 citation statements)

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“…Karman 45 employed momentum‐integral analysis to the analytical evaluation of fluid flow in a rotating plane. Several numerical and analytical studies have been done on nanofluids and hybrid nanofluids over various boundary conditions under the influence of various parameters such as radiation, convection, heat transfer 19,23,46–48 . For example, Devi and Devi 22 numerically analyzed MHD hybrid nanofluid flow caused by Newtonian heating on a stretching sheet.…”

Section: Introductionmentioning

confidence: 99%

“…Several numerical and analytical studies have been done on nanofluids and hybrid nanofluids over various boundary conditions under the influence of various parameters such as radiation, convection, heat transfer. 19,23,[46][47][48] For example, Devi and Devi 22 numerically analyzed MHD hybrid nanofluid flow caused by Newtonian heating on a stretching sheet. Yousefi et al 49 studied "hybrid nano liquid flow toward a wavy cylinder in the stagnation zone."…”

Section: Introductionmentioning

confidence: 99%

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Numerical investigation of a convective hybrid nanofluids around a rotating sheet

Prathiba¹,

Akavaram

2022

Heat Trans

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Hybrid nanofluids are formulated with various kinds of base fluids. They are designed to provide good heat transfer performance. They can achieve this by dispersing various kinds of nanoparticles in the base materials. This new technology of formulating hybrid nanofluids has a wide range of applications in various industries such as solar energy, medical equipment, and aerospace. Keeping these applications in view, this study provides an insight into the effects of convective heat transport on a Hybrid nanofluid, across a rotating sheet with a variable heat source. In this investigation, the governing boundary layer partial differential equations were modified into the ordinary differential equations, by using the proper similarity transformations. Later, they were solved numerically, with the support of the Lobatto IIIA technique in MATLAB. The influence of the Richardson number on flow parameters was studied, and it was discovered that increasing Ri increases the velocity while decreasing temperature and concentration profiles. The impact of various other flow parameters on the flow fields and also on the behavior of Nusselt number, coefficient skin friction, and Sherwood number were studied and represented graphically. The outcomes were found to be in excellent accord when compared with quoted studies.

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Section: Introductionmentioning

confidence: 99%