Thermodynamic reassessment of Fe-N and Fe-N-C systems AITranslate
Abstract AITranslate
In this work, a new optimization of the thermodynamics of Fe-N and Fe-N-C systems was presented. A thermodynamic reevaluation of both systems allowed their improvement in comparison with the previous optimizations. The prediction of invariant reactions temperatures for the Fe-N-C system was made. The equilibrium N and C contents at the phase boundaries were determined at different temperatures and compared with other data from the literature. The thermodynamic computation showed a good agreement with the most recent experimental investigations. In addition, this current optimization provided a thermodynamic description which can be used in the simulation of nitrocarburizing kinetics by using DICTRA software. Despite the lack of mobility data, the simulation results obtained by the present optimization were better than the previous ones.
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DOI:https://doi.org/10.1016/j.calphad.2020.102197
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In this work, a new optimization of the thermodynamics of Fe-N and Fe-N-C systems was presented. A thermodynamic reevaluation of both systems allowed their improvement in comparison with the previous optimizations. The prediction of invariant reactions temperatures for the Fe-N-C system was made. The equilibrium N and C contents at the phase boundaries were determined at different temperatures and compared with other data from the literature. The thermodynamic computation showed a good agreement with the most recent experimental investigations. In addition, this current optimization provided a thermodynamic description which can be used in the simulation of nitrocarburizing kinetics by using DICTRA software. Despite the lack of mobility data, the simulation results obtained by the present optimization were better than the previous ones.
quote
| GB/T 7714-2015 | [1] R. Kouba, K. Rayane, M. Keddam. Calphad, 2020(71). DOI:10.1016/j.calphad.2020.102197. |
| MLA | [1] R. Kouba, et al., Calphad, no. 71, 2020, https://doi.org/10.1016/j.calphad.2020.102197. |
| APA | [1] R. Kouba, K. Rayane, & M. Keddam. (2020). Calphad(71). https://doi.org/10.1016/j.calphad.2020.102197 |
| IEEE | [1] R. Kouba, K. Rayane, and M. Keddam, Calphad, no. 71, 2020, doi: 10.1016/j.calphad.2020.102197. |
