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Monte Carlo simulations of Cu/Ni–Si–Mn co-precipitation in duplex stainless steels
- Source :
- Acta Materialia. 194:1-12
- Publication Year :
- 2020
- Publisher :
- Elsevier BV, 2020.
-
Abstract
- First-Passage Kinetic Monte Carlo (FPKMC) simulations of species migration in duplex stainless steels were performed in order to establish relationships between alloy content, segregation behavior, and the formation of Ni–Si–Mn rich particles in cast duplex stainless steels during thermal aging. The Ni–Si–Mn-rich second phase forms after extended aging at reactor operating temperatures and degrades alloy properties. Simulations of Ni–Si–Mn cluster formation were validated through comparison with experimental results obtained through Atom Probe Tomography (APT) on similar alloy compositions, identifying several trends. First, Cu promotes the formation of Ni–Si–Mn clusters, but only when Ni or Mn prefer segregation to the surface of Cu particles; without the segregation of these species, the critical composition for the clusters to form was not achieved. Second, the width of precipitate-denuded zones near γ/δ interfaces increases with decreasing Cu content. This finding was in strong agreement with APT and Scanning Transmission Electron Microscopy results, further validating our model. Finally, our model predicts that Ni–Si–Mn cluster formation will be the most extensive when the Si:Mn ratio is approximately 1:1 and the least extensive when one of these key elements is less concentrated (Mn ≤ 0.5 at.% or Si ≤ 0.5 at.%). The implications of these results on how to improve alloy properties are discussed.
- Subjects :
- 010302 applied physics
Materials science
Polymers and Plastics
Coprecipitation
Alloy
Monte Carlo method
Metals and Alloys
Analytical chemistry
02 engineering and technology
Atom probe
engineering.material
021001 nanoscience & nanotechnology
01 natural sciences
Electronic, Optical and Magnetic Materials
law.invention
Duplex (building)
law
0103 physical sciences
Scanning transmission electron microscopy
Ceramics and Composites
engineering
Cluster (physics)
Kinetic Monte Carlo
0210 nano-technology
Subjects
Details
- ISSN :
- 13596454
- Volume :
- 194
- Database :
- OpenAIRE
- Journal :
- Acta Materialia
- Accession number :
- edsair.doi...........8947eb3796460481335737a529f8ad4a