Dr Sam Yang1, Mr Clement Chu1, Dr Tony Murphy1
1CSIRO Manufacturing, Clayton, Australia
This presentation is a overview of our recent development in data-constrained modelling (DCM) methodology for quantitative and sample-non-destructive (SND) characterization of 3D microscopic composition distribution in materials, and microstructure-based predictive modelling of material multi-physics properties. Potential impacts are illustrated with examples in a range of R&D disciplines. Data and computational challenges will be presented.
Dr Sam Yang (PhD in Statistical Physics) is a Principal Research Scientist in CSIRO Manufacturing BU. He has invented data-constrained modelling (DCM) in 2007 and has been leading its development. DCM has been applied for quantitative microstructure characterization in a range of disciplines worldwide. He has also researched on fundamental and applied statistical physics, applied complex system science, bio-physics, computational and simulations sciences, and has published over 100 research papers in refereed journals, conference proceedings, book chapters and patents. Dr Yang is leading a major project in non-destructive quality evaluation of additively-manufactured (AM) metal components funded by the Australian Department of Industry, Innovation and Science (DIIS) and five global industries.