摘要
采用静态实验模型和一套X射线测试系统模拟了二值多相体系多角度同时投影的S射线CT测量过程。静态实验模型模拟空气一水两相体系，截面相浓度分布满足O-1特征。X射线测试系统由一台工作电压为150kV的闪光X射线机、一台X射线平板检测器和一套数据采集单元组成。通过旋转静态实验模型，分步实现不同角度的投影数据采集。基于模拟的多角度“同时”采集的投影数据，使用本系列研究所构建的基于遗传算法的快速X射线CT多相流测试技术（GA—XCT）对截面图像进行重建，测试结果表明：在3～24个有限角度实测投影数据的情况下，GA—XCT表现出了明显优于传统CT图像重构算法（滤波反投影算法）的图像重构能力，且具有良好的抗噪声能力。
Simultaneous measurements of X-ray projection data from several angles around a static experimental model were implemented by rotating the model between an X-ray tube and a flat plate detector. The static model simulated a two-phase system with water and air inside, forming four bubbles at the cross-section. The measurement system consisted of a Model 150-Ⅰ Mobile X-ray Unit operated at the potential of 150 kV, a MiniX-1 X-ray flat plate detector, and a data acquisition system. By using the measured instantaneous projection data from different angles, the cross-sectional image was reconstructed with the established genetic algorithm based fast X-ray computed tomographic method （GA-XCT） . A series of real experiments clearly demonstrated the feasibility and capability of the GA-XCT in the application of ＂bubbles＂ reconstruction compared with the conventional CT reconstruction algorithm using limited projectiondata. Meanwhile, the GA based image reconstruction is robust to the noise.
出处
《化工学报》
EI
CAS
CSCD
北大核心
2007年第2期364-370,共7页
CIESC Journal
基金
全国博士学位论文作者专项资金项目(200245)。~~
