|About this Abstract
||Materials Science & Technology 2019
||Data Science for Material Property Interpretation
||Model-based Reconstruction Algorithms for Time-of-Flight Neutron Tomography
||Singanallur Venkatakrishnan, Luc Dessieux, Philip Bingham
|On-Site Speaker (Planned)
With the development of spallation neutron sources, there is a significant interest to explore the use of Time-of-Flight (ToF) imaging instruments to characterize various material properties in 3D using the principles of tomography. However, obtaining 3D reconstructions is challenging because of the low signal-to-noise ratio, the sparse angular sampling dictated by realistic experiment times, and the complex physics associated with the measurements. In this talk, we will present the development of model-based tomographic reconstruction algorithms from ToF data. In addition to the standard morphological information, we will illustrate how these algorithms can be used to reconstruct crystallographic signatures of samples that contain single-crystal domains embedded in polycrystalline powders. We will also present preliminary results on an algorithm that can potentially reconstruct in-plane residual strains from single-axis ToF tomography data.
||Definite: At-meeting proceedings