摘要
为研究竖直矩形窄缝通道内气液两相垂直向上流动的现象,搭建了气液混合流动的实验台,采用高速照相机对竖直矩形窄缝通道内的气液两相流进行拍摄,通过Matlab软件实现了图像识别以及相近气泡的区分。结果表明:拟合得到的平均截面含气率α与体积含气率β的关系为α=0.88β;对Chen模型的系数C修正后,摩擦压降计算值与实验值具有较高的匹配度。
An experimental system was set up to study the gas-liquid two-phase flow in a vertical rectangular narrow channel,based on which,the gas-liquid two-phase flow was visualized by a high-speed camera,and subsequently the automatic images were recognized,while close bubbles were discriminated using Matlab software.Results show that the relationship between average void fractionαand volume void fraction β is found to beα=0.88β.The calculated results have a high matching degree with the experimental measurements after the coefficient Cof Chen model is revised.
作者
李坤
严天宇
随志强
毕勤成
LI Kun;YAN Tianyu;SUI Zhiqiang;BI Qincheng(State Key Laboratory of Multiphase Flow in Power Engineering,Xi'an Jiaotong University,Xi'an 710049,China)
出处
《动力工程学报》
CAS
CSCD
北大核心
2020年第1期39-43,共5页
Journal of Chinese Society of Power Engineering
基金
国家自然科学基金资助项目(51776167).
关键词
矩形窄缝
气液两相流
图像识别
截面含气率
摩擦压降
rectangular narrow channel
gas-liquid two-phase flow
image recognition
void fraction
frictional pressure drop
