Thermodynamics based modelling of the precipitation kinetics in commercial aluminium alloys AITranslate
Abstract AITranslate
Highlights • A first comprehensive description of a refined statistical precipitation model. • The model can be easily utilized to predict the formation of second-phase. • Model was calibrated with aluminium alloy AA5182. • Good predictions on precipitation in a different alloy AA3104. • The model allows designing and optimizing industrial heat treatment practices. A statistical model has been developed to predict the precipitation kinetics in commercial wrought aluminium alloys. The model, termed ClaNG, is based on a coupling of the Kampmann and Wagner framework with a thermodynamic database. Therewith, the model is capable of describing the simultaneous nucleation, growth and coarsening of all known stable phases in multi-component aluminium systems for arbitrary heat treatments. After a description of the model the precipitation kinetics of the wrought alloy AA5182 during homogenization is investigated experimentally to calibrate the model. The prediction quality of the calibrated model is validated by applying it to the precipitation kinetics in a different alloy, AA3104. The simulation results show good agreement with the experimental results. Finally, the model was applied to design an optimized homogenization process with improved energy balance for alloy AA3104.
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DOI:https://doi.org/10.1016/j.commatsci.2013.08.049
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Highlights • A first comprehensive description of a refined statistical precipitation model. • The model can be easily utilized to predict the formation of second-phase. • Model was calibrated with aluminium alloy AA5182. • Good predictions on precipitation in a different alloy AA3104. • The model allows designing and optimizing industrial heat treatment practices. A statistical model has been developed to predict the precipitation kinetics in commercial wrought aluminium alloys. The model, termed ClaNG, is based on a coupling of the Kampmann and Wagner framework with a thermodynamic database. Therewith, the model is capable of describing the simultaneous nucleation, growth and coarsening of all known stable phases in multi-component aluminium systems for arbitrary heat treatments. After a description of the model the precipitation kinetics of the wrought alloy AA5182 during homogenization is investigated experimentally to calibrate the model. The prediction quality of the calibrated model is validated by applying it to the precipitation kinetics in a different alloy, AA3104. The simulation results show good agreement with the experimental results. Finally, the model was applied to design an optimized homogenization process with improved energy balance for alloy AA3104.
quote
| GB/T 7714-2015 | [1] Zhenshan Liu, Volker Mohles, Olaf Engler, et al. Computational Materials Science, 2014(81). DOI:10.1016/j.commatsci.2013.08.049. |
| MLA | [1] Zhenshan Liu, et al., Computational Materials Science, no. 81, 2014, https://doi.org/10.1016/j.commatsci.2013.08.049. |
| APA | [1] Zhenshan Liu, Volker Mohles, Olaf Engler, & Günter Gottstein. (2014). Computational Materials Science(81). https://doi.org/10.1016/j.commatsci.2013.08.049 |
| IEEE | [1] Zhenshan Liu, Volker Mohles, Olaf Engler, and Günter Gottstein, Computational Materials Science, no. 81, 2014, doi: 10.1016/j.commatsci.2013.08.049. |
