Partitioned investigation of drag coefficient models of bubbles

Yujia ZHOU; Chenru ZHAO; Hanliang BO

doi:10.11949/0438-1157.20190604

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Partitioned investigation of drag coefficient models of bubbles

Fluid dynamics and transport phenomena | 更新时间：2020-06-24

- Partitioned investigation of drag coefficient models of bubbles
- CIESC Journal Vol. 70, Issue S2, Pages: 108-116(2019)
- 作者机构：
  
  清华大学核能与新能源技术研究院，北京 100084
- 作者简介：
- 基金信息：
- DOI：10.11949/0438-1157.20190604
  CLC： TB 126;O 359⁺.1
- Received：31 May 2019，
  
  Revised：2019-06-24，
  
  Published：05 September 2019
- 稿件说明：
移动端阅览
周毓佳, 赵陈儒, 薄涵亮. 气泡曳力系数模型分区研究[J]. 化工学报, 2019, 70(S2): 108-116

ZHOU Yujia, ZHAO Chenru, BO Hanliang. Partitioned investigation of drag coefficient models of bubbles[J]. CIESC Journal, 2019, 70(S2): 108-116
周毓佳, 赵陈儒, 薄涵亮. 气泡曳力系数模型分区研究[J]. 化工学报, 2019, 70(S2): 108-116 DOI： 10.11949/0438-1157.20190604.

ZHOU Yujia, ZHAO Chenru, BO Hanliang. Partitioned investigation of drag coefficient models of bubbles[J]. CIESC Journal, 2019, 70(S2): 108-116 DOI： 10.11949/0438-1157.20190604.

摘要

由曳力系数表征的曳力模型作为重要的相间力模型之一，被广泛应用于Euler-Euler方法和Euler-Lagrange方法下的连续相和离散相动量方程中。由于现有气泡曳力系数模型形式各异且适用范围有限，因此需要对已有模型进行充分地评价。考虑到已有曳力系数模型的适用范围和气泡变形的影响，参考各曳力系数模型采用的相关参数，建议基于Reynolds数

和Weber数

分区选择最佳模型。将分区曳力系数模型、已有曳力模型与实验数据对比，发现分区曳力系数模型总体预测结果更符合实验测量值。将分区曳力系数模型应用至数值模拟中，可以更精确地追踪不同尺寸气泡的位置，使数值模拟结果更接近真实的物理情况。

Abstract

Drag force model which characterized by the drag coefficient

acting as a crucial interface force model

was generally applied into the momentum equation of continuous phase and dispersed phase in Euler-Euler approach and Euler-Lagrange approach. Previous drag coefficient models of bubbles are required to sufficiently estimated due to the different forms and limited applicability. Optimal model is selected considered the applicability of exist models and the influence of bubble shape deformation

which is partitioned and characterized by Reynolds number and Weber number according to the related parameters adopted in previous models. The drag coefficient predicted by the present model generally perform better than previous models by comparing with experimental data. A more physically and accurate predictions of bubble motions can be achieved by adopting the present model in numerical simulations to track the locations of various size of bubbles.

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references

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