Application of the cyclic phase transformation concept for investigating growth kinetics of solid-state partitioning phase transformations AITranslate
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A heat treatment involving cyclic partial phase transformations has been analyzed to determining growth kinetics of the austenite to ferrite phase transformation and vice versa more accurately. The mixed-mode model and the diffusion-controlled phase transformation model, including the soft impingement effects at the later stage of phase transformation, are reformulated for the cyclic austenite to ferrite and ferrite to austenite transformation. A new growth mode parameter H is defined for the mixed-mode model. It shows that not all partitioning phase transformations starts as pure interface-controlled growth but all of them shift gradually towards pure diffusion control when thermodynamic equilibrium is approached. The diffusion-controlled model predicts that the ferrite to austenite transformation should be faster than the austenite to ferrite, while the simulation of the mixed-mode model shows that the transformation rate ratio is a function of the ratio of interface mobility.
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DOI:https://doi.org/10.1016/j.commatsci.2010.06.026
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A heat treatment involving cyclic partial phase transformations has been analyzed to determining growth kinetics of the austenite to ferrite phase transformation and vice versa more accurately. The mixed-mode model and the diffusion-controlled phase transformation model, including the soft impingement effects at the later stage of phase transformation, are reformulated for the cyclic austenite to ferrite and ferrite to austenite transformation. A new growth mode parameter H is defined for the mixed-mode model. It shows that not all partitioning phase transformations starts as pure interface-controlled growth but all of them shift gradually towards pure diffusion control when thermodynamic equilibrium is approached. The diffusion-controlled model predicts that the ferrite to austenite transformation should be faster than the austenite to ferrite, while the simulation of the mixed-mode model shows that the transformation rate ratio is a function of the ratio of interface mobility.
quote
| GB/T 7714-2015 | [1] Hao Chen, Sybrand van der Zwaag. Computational Materials Science, 2010(49). DOI:10.1016/j.commatsci.2010.06.026. |
| MLA | [1] Hao Chen, and Sybrand van der Zwaag. Computational Materials Science, no. 49, 2010, https://doi.org/10.1016/j.commatsci.2010.06.026. |
| APA | [1] Hao Chen, & Sybrand van der Zwaag. (2010). Computational Materials Science(49). https://doi.org/10.1016/j.commatsci.2010.06.026 |
| IEEE | [1] Hao Chen and Sybrand van der Zwaag, Computational Materials Science, no. 49, 2010, doi: 10.1016/j.commatsci.2010.06.026. |
