Qualification of AM parts: Extreme value statistics applied to tomographic measurements
By S. Romano, A. Brandão, J. Gumpinger, M. Gschweitl, Stefano Beretta. 2017
242 citations recorded by the source corpus.
Subfields: Biomedical Engineering, Mechanical Engineering
View Paper: https://www.semanticscholar.org/paper/054eb0f25516af3cd78760ea2d9a7cdf547584ba
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Biomedical Engineering
In Mechanical Engineering
- A. du Plessis
- A. Fatemi
- N. Sanaei
- I. Yadroitsava
- I. Yadroitsev
- N. Phan
- Nima Shamsaei
- Jonathan W. Pegues
Citations in the corpus
- Effects of defects on mechanical properties in metal additive manufacturing: A review focusing on X-ray tomography insights (2020, background): “[108] studied the HCF and LCF properties of AlSi10Mg produced by L-PBF in the context of prediction of fatigue properties from CT data.”
- Fatigue of additively manufactured 316L stainless steel: The influence of porosity and surface roughness (2019, unknown): “15,20,29 A surface roughness Ra of 10.1 was obtained from measurements using a confocal microscope.”
- X-Ray Microcomputed Tomography in Additive Manufacturing: A Review of the Current Technology and Applications (2018, unknown): “60 A statistical analysis of the detected porosity can be related to the porosity of the part itself and hence its mechanical properties.”
- The barriers to the progression of additive manufacture: perspectives from UK industry (2018, methodology): “Similarly to the quantification of mechanical properties, internal surface dimensions, texture and porosity can be measured using destructive techniques to develop a statistical operating window (Romano et al., 2017).”
- High cycle fatigue behavior and life prediction for additively manufactured 17-4 PH stainless steel: Effect of sub-surface porosity and surface roughness (2020, unknown): “This is due to the fact that the size of the largest and most critical defect depends on the volume of material investigated [4,25].”
- Fatigue of additive manufactured Ti-6Al-4V, Part I: The effects of powder feedstock, manufacturing, and post-process conditions on the resulting microstructure and defects (2020, background): “Romano et al. [97] applied EVS for analyzing X-ray CT scan measurements to qualify ALSi10Mg AM parts.”