کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
6759018 | 1431389 | 2018 | 12 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
A dissipation-based method for improving the accuracy of computational fluid dynamics simulations of high level non-Newtonian wastes
ترجمه فارسی عنوان
یک روش مبتنی بر اتلاف برای بهبود دقت شبیه سازی دینامیکی سیالات محاسباتی از عناصر غیر مجاز نیوتنی
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موضوعات مرتبط
مهندسی و علوم پایه
مهندسی انرژی
مهندسی انرژی و فناوری های برق
چکیده انگلیسی
This paper investigates a new viscosity model for laminar, transitional, and turbulent pipe flow simulations of a non-Newtonian slurry using the Star-CCM+ software. Herschel-Bulkley (HB) rheology equation was used in its original and modified forms to model the fluid viscosity. The realizable k-ε model was used for modeling of turbulence. It was observed that simulations using the HB model predicted inaccurate profiles of U (mean velocity) and U+ (mean velocity in wall units). Therefore, we developed alternative values of viscosity obtained directly from non-linearity of stress-strain variation (α) in each iteration. The developed method, “Alpha method”, applied changes in places where dissipation rate of turbulent kinetic energy occurred and was designed based on local or global dissipation rate values. Inverse values of α were used to test effects of more viscosity reduction for all flow regimes. In prediction of the mean velocities, significant improvements were obtained through global adjustment of viscosity in inverse form during simulation of the laminar and turbulent flow cases. For the transitional flow, obtaining improvements in prediction of U and U+ from the same model version faced challenges. While the global adjustments in direct form were found significantly effective in improving the prediction of U, they failed to predict the U+ accurately. For this purpose, Local viscosity adjustments were found significantly effective.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Nuclear Engineering and Design - Volume 332, June 2018, Pages 307-318
Journal: Nuclear Engineering and Design - Volume 332, June 2018, Pages 307-318
نویسندگان
Ahmadreza Abbasi Baharanchi, Maximiliano Edrei, Seckin Gokaltun, Dwayne McDaniel,