Population Balance Modeling of Air-Water Bubbly Flow in a Vertical U-Bend

Author(s):  
Hongye Zhu ◽  
Xingtuan Yang ◽  
Yichuan Huang ◽  
Jiyuan Tu ◽  
Shengyao Jiang
2018 ◽  
Vol 10 (4) ◽  
pp. 170-177
Author(s):  
Yichuan Huang ◽  
Hongye Zhu ◽  
Xingtuan Yang ◽  
Jiyuan Tu ◽  
Shengyao Jiang

Bubbly flow in U-bend is widely encountered in two-phase flow systems because of its compactness and high heat transfer coefficient. The modeling of phase distributions, velocity fields, and interfacial area concentration in the U-bend is crucial for the analysis of mass, momentum, and energy transportation processes in the equipment. However, this subject has not received enough attention yet. In this paper, the combination of population balance model and two-fluid model was used in the simulation of air–water bubbly flow in a U-bend with 24 mm inner diameter and 96 mm curvature. The homogeneous multiple size group model was used to solve the population balance equation and reconstruct the bubble size distribution function. The phase distribution at 0°, 90°, and 180° was predicted and the results showed that the superficial velocities of gas and liquid phase were the control parameters. Under higher gas superficial velocity, the buoyant force is dominant and makes the bubbles concentrate on the outer side of the tube wall; while under lower gas superficial velocity, the centrifugal force is dominant and makes the bubbles concentrate on the inner side of the tube wall. These results met well with the experimental results of Usui.


2014 ◽  
Vol 46 (1) ◽  
pp. 406-420 ◽  
Author(s):  
Zhongqiu Liu ◽  
Linmin Li ◽  
Fengsheng Qi ◽  
Baokuan Li ◽  
Maofa Jiang ◽  
...  

Processes ◽  
2021 ◽  
Vol 9 (1) ◽  
pp. 122
Author(s):  
Seyed Soheil Mansouri ◽  
Heiko Briesen ◽  
Krist V. Gernaey ◽  
Ingmar Nopens

Population Balance Modeling (PBM) is a powerful modeling framework that allows the prediction of the dynamics of distributed properties of a population of individuals at the mesoscale [...]


2009 ◽  
Vol 64 (4) ◽  
pp. 627 ◽  
Author(s):  
Ingmar Nopens ◽  
Heiko Briesen ◽  
Joel Ducoste

2014 ◽  
Vol 47 (3) ◽  
pp. 1705-1710 ◽  
Author(s):  
Andre Franz ◽  
Robert Dürr ◽  
Achim Kienle

2018 ◽  
Vol 34 (4) ◽  
pp. 561-594 ◽  
Author(s):  
Mingzhou Yu ◽  
Jianzhong Lin

Abstract Population balance equations (PBE) are widely applied to describe many physicochemical processes such as nanoparticle synthesis, chemical processes for particulates, colloid gel, aerosol dynamics, and disease progression. The numerical study for solving the PBE, i.e. population balance modeling, is undergoing rapid development. In this review, the application of the Taylor series expansion scheme in solving the PBE was discussed. The theories, implement criteria, and applications are presented here in a universal form for ease of use. The aforementioned method is mathematically economical and applicable to the combination of fine-particle physicochemical processes and can be used to numerically and pseudo-analytically describe the time evolution of statistical parameters governed by the PBE. This article summarizes the principal details of the method and discusses its application to engineering problems. Four key issues relevant to this method, namely, the optimization of type of moment sequence, selection of Taylor series expansion point, optimization of an order of Taylor series expansion, and selection of terms for Taylor series expansion, are emphasized. The possible direction for the development of this method and its advantages and shortcomings are also discussed.


AIChE Journal ◽  
2007 ◽  
Vol 53 (3) ◽  
pp. 579-588 ◽  
Author(s):  
M. R. Bhole ◽  
J. B. Joshi ◽  
D. Ramkrishna

Sign in / Sign up

Export Citation Format

Share Document