|About this Abstract
||2018 TMS Annual Meeting & Exhibition
||Advances in Additive Manufacturing of Titanium and Titanium Based Alloys
||Non-destructive Characterization of Porosity Distributions in Additively-manufactured Ti Parts
||Sam Yang, Jing Zou, Yuqi Ren, Darren Fraser, Peter King, Clement Chu, Tony Murphy, Leon Prentice
|On-Site Speaker (Planned)
Additive manufacturing (AM) makes possible the production of high-performance and high-value titanium parts with complex geometries. However, such parts often have internal porosity defects in multiple length scales down to sub-micron size, which affect their fit-for-purpose performance. Non-destructive detection and characterization of such multi-scale defects is challenging, even with state-of-the-art non-destructive quality evaluation technology, such as X-ray CT (computed tomography). Discrete image segmentation of CT images loses the sub-voxel information. CSIRO has developed a data-constrained modelling (DCM) technique that overcomes this limitation by incorporating multi-energy and quantitative X-ray CT and statistical mechanics.
DCM has been successfully applied in several fields. CSIRO is now developing the DCM method for quality evaluation of AM parts. This presentation will give an overview of the DCM method, and demonstrate its applicability to porosity characterization of cold-spray and electron-beam-melting 3D-printed titanium parts.
||Planned: Supplemental Proceedings volume