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Meeting ID: 160 870 2674
Additive manufacturing (AM) represents a rapidly growing technological area of advanced manufacturing where techniques, such as laser powder-bed fusion (L-PBF), produce highly heterogeneous materials containing defects that range from the nanoscale – atomic defects and elemental segregation – to the microscale –cellular dislocation networks, intermetallic precipitates, and other inclusions – and finally to macroscale – fusion boundaries, lack of fusion defects, and keyhole porosity. Due to these heterogeneous microstructures, AM metallic materials generally exhibit very different performance relative to wrought alloy counterparts, such as an increased susceptibility to localized corrosion and anisotropic mechanical properties. New approaches are thus needed to statistically quantify the complex microstructural state of AM materials for enabling fundamental linkages to be established between AM processing, microstructure formation, and properties. This need is aligned with the scientific challenges in advanced manufacturing and corresponding priority research outlined in the 2018 NSLS-II Strategic Plan.
This workshop aims to discuss multiscale physical phenomena that govern the performance behavior of metallic AM materials. Specific focus will be on existing research efforts and new opportunities to implement multi-modal synchrotron techniques for providing new insights into structure-property relationships critical to AM materials development. Talks are solicited from universities, national laboratories, and industry that cover processing and fabrication, multiscale structural characterization, corrosion behavior, and mechanical property testing of AM materials. Emphasis will be placed on the microstructural origins of anomalous behavior uncovered through the integration of multiscale characterization techniques. Topics of interest include, but are not necessarily limited to:
Advanced correlative and multi-modal characterization of AM materials (brainstorming on how existing or upcoming enterprise/high-end capabilities of BNL can advance this research)
• Time-resolved imaging and diffraction during processing and/or testing
• General and localized corrosion behavior
• Mechanical behavior including deformation, fracture, and fatigue
• Mechanistic insights into measured behavior through in situ testing
• Tailoring microstructure for enhanced performance in AM metals
• Data analytics and model guided process optimization
Jason Trelewicz (Stony Brook University, firstname.lastname@example.org)
David Sprouster (Stony Brook University, email@example.com)
Alessandra Colli (Brookhaven National Laboratory, firstname.lastname@example.org)
Eric Dooryhee (Brookhaven National Laboratory, email@example.com)
Yong Chu (Brookhaven National Laboratory, firstname.lastname@example.org)