CT local reconstruction of solid rocket motor based on PI-POCS-TVM

In order to test the defects of solid rocket motor (SRM) accurately and efficiently, the computed tomography (CT) inspection scheme for SRMs defects was investigated and a CT local reconstruction algorithm called prior information projection onto convex sets total variation minimization (PI-POCS-TVM) was developed. The SRM was first inspected by industrial CT (ICT) to generate a low resolution SRM image used as the prior information, then high resolution local inspection was carried out for SRM's defects. To validate the effectiveness of the CT inspection scheme for SRMs defects, one SRM was inspected by a narrow fan beam ICT system. Filtered back projection (FBP) algorithm, POCS, POCS-TVM and PI-POCS-TVM algorithms were applied to reconstruct CT images. The performance of these algorithms was also compared. Results demonstrated the effectiveness of the CT inspection scheme for SRM's defects. Moreover, the PI-POCS-TVM algorithm has better local reconstruction image quality than the other three algorithms, showing great significance for accurate measurement of SRM's defects.