Quantitative multiscale correlative microstructure analysis of additive manufacturing of stainless steel 316L processed by selective laser melting
By M. Godec, S. Zaefferer, B. Podgornik, Mario Sinko, E. Tchernychova. 2020
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Abstract In this study we have assessed the microstructure details of 316L stainless steel produced by the additive-manufacturing selective-laser-melting technique under industrial conditions and correlated them with the mechanical properties. The employed micro- and nano-scale imaging electron microscopy techniques revealed the formation of a rigid hierarchical microstructure, which was driven by the rapidly changing solidification rates. The latter also affected the alloying atoms' distribution in the melt-pool boundary area as well as in the dislocation-dense regions. The melt-pool boundaries in themselves did not produce structural irregularities, but were shown to have a slightly different chemical composition. The arrangement of the complex dislocation cells that developed in the whole material volume led to an increase in the yield strength. The calculated twenty-times-higher dislocation density compared to that of the forged material was linked to a very low strength hardening. The similarity of the calculated yield strength, which came from the experimentally determined structure parameters, with the experimental value additionally supported the structure/mechanical properties correlation, derived in this work.
Subfields: Mechanical Engineering
View Paper: https://www.semanticscholar.org/paper/3ba685de6d8f9881a0bed2ff4c2eedb644937e10
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In Mechanical Engineering
Citations in the corpus
- Grain refinement of stainless steel in ultrasound-assisted additive manufacturing (2020, methodology): “[49] Laser-powder bed fusion ~15 ~0.6 [50] Laser-directed energy deposition ~45 ~1.8 [51] Laser-powder bed fusion ~30 ~0.67 [52] Laser-powder bed fusion ~15 ~1.0 [53] Laser powder bed fusion ~21 ~0.4 [54] Laser directed energy deposition ~60 ~2 This work Laser directed energy deposition (with ultras”
- Additive manufacturing of steels: a review of achievements and challenges (2020, background): “[44] Godec M, Zaefferer S, Podgornik B, Šinko M, Tchernychova E (2020) Quantitative multiscale correlative”