SANS study of carbides precipitation kinetics in a high-performance steel designed through computational thermodynamics and kinetics
Precipitation hardening is one of the most potent strengthening mechanisms for many high-strength alloy steels. Mechanical properties of the alloys can be optimized by carefully controlling the nano-scale precipitation and their sequence, fraction, size and dispersion. However, the bulk quantification of the nano-size precipitates in steels is very challenging due to their small size and volume fraction. Small-angle neuron scattering (SANS) is one of the most powerful technique to tackle this challenge. The objective of this work is to investigate precipitation kinetics in a designed low-carbon low-alloy steel in order to validate the thermodynamic and kinetic modelling. The SANS measurements will help quantitative characterization of precipitation kinetics, which together with other complementary experiments will pave way for computational design of high-performane metallic materials.
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The recommended format for citing this dataset in a research publication is in the following format:
ZHOU Tao; CUBITT Robert; Peter Hedström; ROLINSKA Monika and Ahmet Bahadir Yildiz. (2021). SANS study of carbides precipitation kinetics in a high-performance steel designed through computational thermodynamics and kinetics. Institut Laue-Langevin (ILL) doi:10.5291/ILL-DATA.1-01-191
This data is not yet public
This data is not yet public
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