In situ 4D tomography image analysis framework to follow sintering within 3D-printed glass scaffolds.

ABSTRACT: We propose a novel image analysis framework to automate analysis of X-ray microtomography images of sintering ceramics and glasses, using open-source toolkits and machine learning. Additive manufacturing (AM) of glasses and ceramics usually requires sintering of green bodies. Sintering causes shrinkage, which presents a challenge for controlling the metrology of the final architecture. Therefore, being able to monitor sintering in 3D over time (termed 4D) is important when developing new porous ceramics or glasses. Synchrotron X-ray tomographic imaging allows in situ, real-time capture of the sintering process at both micro and macro scales using a furnace rig, facilitating 4D quantitative analysis of the process. The proposed image analysis framework is capable of tracking and quantifying

SUBMITTER: Kondarage AI 

PROVIDER: S-EPMC9297994 | biostudies-literature | 2022 Mar

REPOSITORIES: biostudies-literature