Analysis of factors affecting fatigue performance of HIP'd laser-based powder bed fusion Ti–6Al–4V coupons

Zackary Snow, Christine Cummings, Edward W. Reutzel, Abdalla Nassar, Kyle Abbot, Paul Guerrier, Shawn Kelly, Simon McKown, Jared Blecher, Ryan Overdorff

Research output: Contribution to journalArticlepeer-review

4 Scopus citations

Abstract

To achieve widespread adoption of AM, industry must understand the factors that lead to intermittent incidents of low fatigue performance. To explore this, 150 fatigue coupons were constructed across six builds on L-PBF systems from two different machine manufacturers using both virgin and reused Ti–6Al–4V powder feedstock. X-ray computed tomography (XCT) was used to identify flaws in both the pre- and post-HIP condition. After HIP, machined and polished fatigue coupons were tested at a common loading condition to identify the factors that led to outliers in fatigue performance. Registration of the XCT data to fractographic failure origins revealed statistically significant reductions in fatigue lifetimes were attributable to the presence of pre-HIP lack-of-fusion flaws that were not visible in post-HIP CT scans. Post-fatigue fractography revealed that contaminants identified at the failure origin, were responsible for the largest debit on fatigue lifetimes. Finally, statistically significant differences in the fatigue performance between two L-PBF systems were believed to be attributable to differences in prior β grain texturing and interstitial oxygen levels. These findings may help guide strategies to enable broader adoption of L-PBF AM Ti–6Al–4V components in fatigue-limited applications.

Original languageEnglish
Article number144575
JournalMaterials Science and Engineering: A
Volume864
DOIs
StatePublished - Feb 7 2023
Externally publishedYes

Funding

This effort was performed through the National Center for Defense Manufacturing and Machining under the America Makes Program entitled “Understanding Stochastic Powder Bed Fusion Additive Manufacturing Flaw Formation and Impact on Fatigue” and is based on research sponsored by Air Force Research Laboratory under agreement number FA8650-16-2-5700 . The U.S. Government is authorized to reproduce and distribute reprints for Government purposes notwithstanding any copyright notation thereon. The authors would also like to acknowledge Griff Jones, Jay Keist, Dave Corbin, Jan Petrich, and Brett Diehl for helpful discussions regarding XCT scan analysis, registration and interpretation of sensor data, and the impacts of microstructure and composition on fatigue properties.

FundersFunder number
National Center for Defense Manufacturing and Machining
Air Force Research LaboratoryFA8650-16-2-5700

    Keywords

    • Additive manufacturing
    • Fatigue
    • Qualification
    • X-ray computed tomography

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