Analytical and Numerical Investigation of Non-Newtonian Droplet Breakup in Asymmetric T-junction
Publish place: Journal of Applied Fluid Mechanics، Vol: 15، Issue: 2
Publish Year: 1401
Type: Journal paper
Language: English
View: 232
This Paper With 13 Page And PDF Format Ready To Download
- Certificate
- I'm the author of the paper
Export:
Document National Code:
JR_JAFM-15-2_015
Index date: 7 February 2022
Analytical and Numerical Investigation of Non-Newtonian Droplet Breakup in Asymmetric T-junction abstract
In this paper, an analytical investigation and 3D numerical simulation are presented for the breakup of floating non-Newtonian droplets in a non-Newtonian fluid. The considered geometry is a T-junction with unequal-width branches that can generate droplets with un-equal size. There is a very good agreement between the analytical solution and numerical simulation results obtained in this research. Various quantities such as branches flow rate ratio, branches velocity ratio, droplet’s length in each branch, the whole length of the droplet, vorticity and pressure have been investigated during the breakup process in this study. The results showed that the branches flow rate ratio and the branches velocity ratio were constant during the breakup process. It was also observed that the length of the droplet in each of the branches and the whole length of the droplet increased linearly during the breakup process. Also, the vorticity has its maximum at the breakup moment.
Analytical and Numerical Investigation of Non-Newtonian Droplet Breakup in Asymmetric T-junction Keywords:
Analytical and Numerical Investigation of Non-Newtonian Droplet Breakup in Asymmetric T-junction authors
M. J. Kiani
School of Mechanical Engineering, Iran University of Science and Technology, Tehran, Iran
A. Bedram
Faculty of Imam Ali, South Khorasan Branch, Technical and Vocational University (TVU), Tabas, Iran
مراجع و منابع این Paper:
لیست زیر مراجع و منابع استفاده شده در این Paper را نمایش می دهد. این مراجع به صورت کاملا ماشینی و بر اساس هوش مصنوعی استخراج شده اند و لذا ممکن است دارای اشکالاتی باشند که به مرور زمان دقت استخراج این محتوا افزایش می یابد. مراجعی که مقالات مربوط به آنها در سیویلیکا نمایه شده و پیدا شده اند، به خود Paper لینک شده اند :