基于同面电容成像的航天隔热复合材料粘接缺陷检测方法

摘要

Coplanar capacitance imaging is a detection technique based on the sensitive field mechanism, which can display 2D or 3D medium distribution images in real time. In order to achieve the visual detection of adhesive deffects in aeronautical insulating composites, a imaging algorithm based on Kalman filter is proposesd based on the analysis of of uniplanar capacitance imaging model and image reconstruction principle, and the optimal estimate is achieved by adjusting the degree of dependence on the estimated and measured capacitance values continuously. The validity and feasibility of the proposed algorithm are verified through experiment. Compared with traditional imaging algorithm, the proposed image reconstruction algorithm greatly improves the image reconstruction precision of adhesive defect.%为了实现对航天隔热复合材料粘接缺陷的可视化检测,在分析同面电容成像(CPCI)系统模型及图像重建原理的基础上,提出了一种基于Kalman滤波的CPCI算法,并通过对估计电容值和测量电容值依赖程度的不断调整来实现最优估计.构建了仿真实验,验证了采用基于Kalman滤波的CPCI算法在缺陷检测中的可行性和有效性.与采用常规CPCI算法的检测实验结果进行了对比,结果表明,所提图像重建算法获得的粘接缺陷图像精度具有较大的提升.