About this Abstract |
Meeting |
MS&T22: Materials Science & Technology
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Symposium
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Additive Manufacturing of Titanium-based Materials: Processing, Microstructure and Material Properties
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Presentation Title |
Application of Extreme Value Analysis to Defect Size Distributions for Fatigue Life Prediction of Laser Powder Bed Fusion Processed Ti-6Al-4V |
Author(s) |
Tharun Reddy, David Scannapieco, Austin Ngo, John J Lewandowski, Anthony D Rollett, Sneha P Narra |
On-Site Speaker (Planned) |
Tharun Reddy |
Abstract Scope |
The process-induced defects in additive manufacturing are known to degrade the fatigue properties, which necessitates that the effect of process parameters on defect distribution and fatigue life is well understood. In this work, we evaluate the fatigue properties of LPBF Ti-6Al-4V with varying defect morphology and density. The process mapping technique was used for the appropriate selection of process parameters to fabricate specimens with different types of defects. The defects responsible for fatigue failure were identified by examining the fracture surface. Serial sectioning and optical microscopy were performed to measure the internal defect size distribution. The defect size distribution data were evaluated by peaks-over-threshold approach to quantify the differences in the upper tail and estimate the size of failure initiating defects. This study has shown the existence of strong process-defect-fatigue life relationship and that the peaks-over-threshold model can provide good estimates of maximum defect size at origin of fatigue failure. |