Computed tomography for characterization of fatigue performance of selective laser melted parts
By S. Siddique, M. Imran, M. Rauer, M. Kaloudis, E. Wycisk, C. Emmelmann, F. Walther. 2015
217 citations recorded by the source corpus.
Subfields: Automotive Engineering, Mechanical Engineering
View Paper: https://www.semanticscholar.org/paper/86d8a09d6b32416c222d4eb6a6046e30accae09a
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Automotive Engineering
In Mechanical Engineering
Citations in the corpus
- X-Ray Microcomputed Tomography in Additive Manufacturing: A Review of the Current Technology and Applications (2018, unknown): “88 Similar concepts for predicting the consequence of a defect visualized by X-ray CT were investigated for an improved understanding of fatigue critical pores in AM parts in Sid-dique et al. 64 It was found that the stress concentration factors for pores near the surface are very high, and suggesti”
- Qualification of AM parts: Extreme value statistics applied to tomographic measurements (2017, background): “The predominance of failures originated on surface is a very common observation [10,13,40].”
- Additive manufacturing of metals (2016, methodology): “[158] used computer tomography to identify defects and FEM simulation to predict stress concentration in LBM of the eutectic AlSi12 alloy.”
- 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): “In one case, presence of a sub-surface pore with a diameter of 67 μm right below this outer layer has probably increased the detrimental effects of surface roughness [26,50] (see Figure 10b).”