采用PTV技术研究循环流化床内气固两相流动

Investigation to Gas-Particle Two-Phase Flow in CFB using PTV Technology

采用PTV技术对循环流化床顶部颗粒稀疏流动区域进行了测量 ,其中采用先进的高速摄像技术获取流动的连续图像 ,并采用目前有望在气固两相流动测量中发挥较大作用的四种PTV算法 :BICC法、VGT法、SPRING法和 4 FRAME法 ,对所获取的图像进行颗粒配对处理 ,从而得到流场中运动颗粒的速度信息。所得到的结论为 :本文所采用的PTV算法在图像处理中都产生少量的伪矢量 ,通过采取简单的伪矢量识别算法就可以剔除大部分伪矢量 ;本文实验条件下 ,测得循环流化床顶部区域内颗粒运动速度差别较小。本文工作为进一步详细实验测量研究奠定了理论与技术基础。

The measurement of gas-particle two-phase flow in the top region of CFB was carried out with PTV technology. The sequent images of the flow field were acquired with an advanced high-speed camera. Four PTV algorithms were used in the measurement of gas-particle two-phase flow (BICC, VGT, SPRING and 4- FRAME) to process the images and get the flow information. It is found that only a little number of spurious velocity vectors exist in the results, which can be removed easily with a simple algorithm. Under the present conditions, the differences of the particles' velocity in the top region of CFB are slight.