期刊
MATERIALS
卷 15, 期 19, 页码 -出版社
MDPI
DOI: 10.3390/ma15196882
关键词
Additive Manufacturing (AM); Laser Powder Bed Fusion (LPBF); Inconel 718; Ti6Al4V; internal defects; fatigue life prediction
A detailed characterization of the fatigue and damage tolerance behavior of structural components is required for the widespread application of Additive Manufactured (AM) technology in the aircraft industry. Metal AM techniques are prone to internal defects, which have a detrimental effect on fatigue properties. In this study, Ti6Al4V and Inconel 718 coupons with artificially induced defects were produced using the Laser Powder Bed Fusion (LPBF) technique. Fatigue tests were performed, and it was observed that Inconel was more defect tolerant compared to Titanium. A simplified stress-life-defect size model based on fracture mechanics was devised and validated using experimental test results and fracture surface analysis.
In order to obtain a widespread application of Additive Manufactured (AM) technology in the aircraft industry for fatigue critical parts, a detailed characterization of the Fatigue and Damage Tolerance (F&DT) behavior of structural components is required. Metal AM techniques in particular are prone to internal defects inherently present due to the nature of the process, which have a detrimental effect on fatigue properties. In the present work, Ti6Al4V and Inconel 718 coupons with artificially induced defects of different dimensions were produced by the Laser Powder Bed Fusion (LPBF) technique. Fatigue tests were performed, and a different defect sensitiveness was observed between the two materials with Inconel being more defect tolerant compared to Titanium. The environmental role at the crack tip of internal defects was discussed, and based on a purely fracture mechanics approach, a simplified stress-life-defect size model was finally devised. The experimental test results together with the information obtained from the fracture surface analysis of tested samples are used to validate the model predictions. The proposed approach could be adopted to define a critical defect size map to be used for tailored Non-Destructive Testing (NDT) evaluation.
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