矩形窄流道内汽泡行为的图像自动识别与分析

Automatic Image Recognition and Analysis of Bubble Behavior in Rectangular Narrow Channel

针对矩形窄流道内沸腾流动时产生的汽泡动力学行为,采用高速摄影仪进行汽泡行为捕获,再利用图像处理技术识别汽泡,最后提取出特征参量进行分析。通过采用改进图像处理法解决了光斑带来的二值化图像中部分汽泡边缘不封闭的问题,并达到了较好的汽-液分割效果;然后通过自动处理提取出图像中的汽泡投影面积比,并采用人工识别的汽泡投影面积比进行验证,两者相差在10%以内;最后根据接触角建立了汽泡体积计算模型,得出了汽泡生长过程中空泡份额变化趋势。

Aiming at the bubble dynamic behaviors generated during the boiling flow in the rectangular narrow channel,the high-speed camera was used to capture the bubble behaviors,and then the image processing technology was used to bubble recognition,and finally the characteristic parameters are extracted for analysis.Through the improved image processing method,the problem that some unclosed bubble edges exist in the binarized image because of the light spots was solved,and a good gas-liquid segmentation effect was achieved.Then,the bubble projection area ratio of processed image was extracted by automatic processing,and the bubble projection area ratio by the manual recognition was used for verification,and the difference between the two is within 10%.Finally,the bubble volume calculation model was established according to the contact angle,and the change trend of void fraction during the bubble growth was obtained.