Fatigue Strength Prediction for Titanium Alloy TiAl6V4 Manufactured by Selective Laser Melting
By S. Leuders, M. Vollmer, F. Brenne, T. Tröster, Thomas Niendorf. Metallurgical and Materials Transactions. A, 2015
144 citations recorded by the source corpus.
Subfields: Automotive Engineering, Mechanical Engineering
View Paper: https://www.semanticscholar.org/paper/38fdca112a0d1430cdd77a0cf642b704c6eb61ce
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Citations in the corpus
- Criticality of porosity defects on the fatigue performance of wire + arc additive manufactured titanium alloy (2019, background): “However, only one study has tested Murakami’s approach on gas pore defects and found it to be conservative [41].”
- High cycle fatigue life prediction of laser additive manufactured stainless steel: A machine learning approach (2019, methodology): “and the Kitagawa-Takahashi diagram with El Haddad formulation, had been adapted for correlating L-PBF defects with fatigue strength [13, 24].”
- Additive manufacturing of fatigue resistant materials: Challenges and opportunities (2017, background): “Results have shown that for most cases, the failure mechanism of AM materials is more affected by void location as opposed to its shape or size, as crack initiation sites are observed to be closer to the specimens’ surface [11,19,26,27].”
- Defect Formation Mechanisms in Selective Laser Melting: A Review (2017, background): “Leuders et al also analyzed the effect of defect location on the fatigue strength in their research.”