Extremely Low Cycle Fatigue Behavior of Additively Manufactured 17-4PH Stainless Steel
2020
- 774Usage
- 1Mentions
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
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- Usage774
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- Abstract Views290
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Most Recent News
University of Arkansas: Low Cycle Fatigue in 3D Printed 17-4PH Stainless Steel
6 mins by Bridget O'Neal 3D Printing3D Printing MaterialsMetal 3D Printing Share this Article Kaley Collins recently presented a thesis, ‘Extremely Low Cycle Fatigue Behavior
Thesis / Dissertation Description
Steel structures survive seismic loading thanks to components capable of dissipating large amounts of energy through large deformations. Future optimizations of these components include complex free-form geometries that are difficult to fabricate with traditional casting processes. Additive manufacturing (AM) is an alternative for producing optimized free-form geometries. AM material contains significant differences in microstructural characteristics and mechanical behavior compared to its wrought counterparts. Research has been conducted to understand the effect of microscopic features in the high cycle fatigue (HCF) and low cycle fatigue (LCF) regimes. This study focuses on the behavior of 17-4 Precipitation Hardening (PH) stainless steel in the extremely low cycle fatigue (ELCF) regime where large plastic strains lead to ductile failure in few cycles (less than 100 cycles). The goal of this project is to develop strain-life curves for AM 17-4PH steels and provide a better understanding of behavior in the ELCF regime. This is accomplished through material fatigue testing and fractographic analysis.
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