کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
647724 1457187 2011 12 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Numerical study of two phase laminar mixed convection nanofluid in elliptic ducts
موضوعات مرتبط
مهندسی و علوم پایه مهندسی شیمی جریان سیال و فرایندهای انتقال
پیش نمایش صفحه اول مقاله
Numerical study of two phase laminar mixed convection nanofluid in elliptic ducts
چکیده انگلیسی

Laminar mixed convection Al2O3–Water nanofluid flow in elliptic ducts with constant heat flux boundary condition has been simulated employing two phase mixture model. Three-dimensional Navier–Stokes, energy and volume fraction equations have been discretized using the finite volume method. The Brownian motions of nanoparticles have been considered to determine the thermal conductivity and dynamic viscosity of Al2O3–Water nanofluid, which depend on temperature. Simulation effects of solid volume fraction, aspect ratio and buoyancy forced on thermal and hydraulics behaviors of nanofluid flow in elliptic ducts have been presented and discussed. The calculated results show good agreement with the previous numerical data. Results show that in a given Reynolds number (Re) and Richardson number (Ri), increasing solid nanoparticles volume fraction increases the Nusselt number (Nu) while the skin friction factor decreases. Increasing aspect ratio (AR = b/a) in elliptic tubes reduces the local skin friction factor whereas it does not have any specified effect on the local Nusselt number.


► The nanofluid flow is simulated using the two phase mixture model.
► The Brownian motions and the dependence on temperature are considered.
► At a given Re, the nanofluids utilization in elliptic duct can enhances heat transfer.
► Using the elliptic pipes with AR = 0.75 have more advantages than the circular pipes. 5. The elliptic ducts with AR = 0.75 have the maximum Nusselt number.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Applied Thermal Engineering - Volume 31, Issues 14–15, October 2011, Pages 2348–2359
نویسندگان
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