About this Abstract |
Meeting |
2024 TMS Annual Meeting & Exhibition
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Symposium
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Additive Manufacturing: Advanced Characterization with Synchrotron, Neutron, and In Situ Laboratory-scale Techniques III
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Presentation Title |
F-24: From Part Geometry to Melt Pool Geometry: Scan Strategies to Predict and Prevent Defects |
Author(s) |
Alexander Sloane, Chu Lun Alex Leung, David McArthur, Vincent Fernandez, Partha Paul, Joseph Brunet, Minh Anh Luan Phan, Henry Saunders, Lukas Jiranek, Abdullah Azam, Iain Todd, Katerina Christofidou |
On-Site Speaker (Planned) |
Alexander Sloane |
Abstract Scope |
Despite major advances in the field of Laser Powder Bed Fusion (L-PBF) Additive Manufacturing, significant hurdles exist to widespread industrial adoption. To reliably produce parts free from porosity defects, engineers must better understand the complex dependencies of melt pool characteristics upon part geometry, laser parameters, and scan strategy, and systems must be developed to detect defects in real time. In this work, turbine blades were built with L-PBF, using contrasting scan strategies. High-speed optical and thermal cameras recorded melt pools throughout the builds, and fine-resolution porosity data was collected with synchrotron X-ray tomography. Data sources were correlated, to determine conditions under which pores will form, and identify features of in-situ images that suggest defect formation. This work was supported by Boeing, the Engineering and Physical Sciences Research Council UK [EP/S022635/1], and Science Foundation Ireland [18/EPSRC- CDT/3584]. XCT data was collected at the ESRF under experiment MA-5702. |
Proceedings Inclusion? |
Planned: |
Keywords |
Additive Manufacturing, Characterization, Powder Materials |