About this Abstract |
Meeting |
2023 TMS Annual Meeting & Exhibition
|
Symposium
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Additive Manufacturing Fatigue and Fracture: Effects of Surface Roughness, Residual Stress, and Environment
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Presentation Title |
Effect of Defect Variability in Aluminum Alloys on Ultrasonic Fatigue Performance Across Additive Manufacturing Platforms |
Author(s) |
Harsha Phukan, Rob Rhein, Niloofar Sanaei, Eric Johnson, Jason Carroll |
On-Site Speaker (Planned) |
Harsha Phukan |
Abstract Scope |
The optimization of process parameters is an important step towards realizing component builds across multiple additive manufacturing (AM) platforms. The present work is focused on the quantification of defect variability and fatigue performance of builds across multiple laser powder bed fusion (LPBF) equipment. The study of defect variability is predicated upon the hypothesis that, given process variables yielding a similar population/ type of porosity based on process maps for different LPBF machines, the defect size distribution across the multiple AM platforms should be similar. Aluminum alloy (AlSi10Mg) specimens of cylindrical geometry built on three different LPBF machines are characterized using computed tomography (CT). The distributions of defect size are compared using Kolmogorov-Smirnov (K-S) tests. Fatigue properties of the builds from different LPBF platforms are quantified using ultrasonic fatigue (USF) under fully reversed loading conditions. Finally, fatigue performance is correlated to the defect distribution in builds across the three platforms. |
Proceedings Inclusion? |
Planned: |
Keywords |
Additive Manufacturing, Aluminum, |