Quantifying motion blur by imaging shock front propagation with broadband and narrowband X-ray sources

• Published in: Scientific reports Vol. 14; no. 1; pp. 25580 - 14
• Main Authors: Harke, Kathryn J., Armstrong, Michael R., Martinez, David, Lind, Jonathan, Kumar, Mukul
• Format: Journal Article
• Language: English
• Published: London Nature Publishing Group UK 26-10-2024; Nature Publishing Group; Nature Portfolio
• Subjects: 639/705/1046; 639/766; 639/766/930/2735; Humanities and Social Sciences; Interfaces; multidisciplinary; Radiography; Science; Science (multidisciplinary); Shock waves; X-rays
• ISSN: 2045-2322; 2045-2322
• DOI: 10.1038/s41598-024-76444-4

Time-integrated radiography using MeV Bremsstrahlung X-ray sources is the norm for imaging during system-level testing of components and structures under dynamic condition. One source of error in the analysis of the time-integrated radiography data sets stems from motion blur which smears out sharp interfaces to a greater degree with longer exposure times, which become necessary to provide sufficient signal-to-noise with low X-ray penetration of objects of interest. To quantify motion blur, a 1D shock wave through PMMA was investigated experimentally at The Dynamic Compression Sector at The Advanced Photon Source (DCS@APS) with tapered broadband and 25.46 ± 1.06 keV narrowband X-rays. Four cameras with different exposure times were used for each experiment to compare the effect that exposure time has on motion blur. In addition, our methodology to accurately simulate motion blur in terms of transmission and shape is presented and compared to our experimental results and quantified. There is a high level of agreement between the experimental and simulation results across the range of data sets investigated in this study with a percent difference range of 0.29–1.31% for the four shots. The methodology of this work serves as a steppingstone towards a physically validated model that could be used in conjunction with experimental results to deconvolve physical parameters, densities, and interfaces of interest in a way that would not be possible with experimental results alone.