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Wan-hua Yu, Lü-ting Xu, Guang-hong Feng, Chun-jing Wu, Cheng Zhou, and Hui-feng Wang, Modeling the austenite-ferrite transformation in microalloyed steel P510L, Int. J. Miner. Metall. Mater., 17(2010), No. 5, pp.558-566. https://dx.doi.org/10.1007/s12613-010-0357-x
Wan-hua Yu, Lü-ting Xu, Guang-hong Feng, Chun-jing Wu, Cheng Zhou, and Hui-feng Wang, Modeling the austenite-ferrite transformation in microalloyed steel P510L, Int. J. Miner. Metall. Mater., 17(2010), No. 5, pp.558-566. https://dx.doi.org/10.1007/s12613-010-0357-x
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Modeling the austenite-ferrite transformation in microalloyed steel P510L

摘要: Based on experimental results, the transformation kinetics and cooling characteristics of low-carbon steel were analyzed and modeled to quantitatively link the operational parameters of a process with the properties. From the continuous cooling transformation results, comparisons of the start temperature of austenite-ferrite transformation among three models were analyzed, and the optimal lnk and n, which are the parameters in the Avrami equation, were determined by applying two regression models at different cooling rates. The transformation kinetics during continuous cooling was determined. Furthermore, reasonable agreements between experimental results and predictions were obtained, which can demonstrate the rationality of the established models.

 

Modeling the austenite-ferrite transformation in microalloyed steel P510L

Abstract: Based on experimental results, the transformation kinetics and cooling characteristics of low-carbon steel were analyzed and modeled to quantitatively link the operational parameters of a process with the properties. From the continuous cooling transformation results, comparisons of the start temperature of austenite-ferrite transformation among three models were analyzed, and the optimal lnk and n, which are the parameters in the Avrami equation, were determined by applying two regression models at different cooling rates. The transformation kinetics during continuous cooling was determined. Furthermore, reasonable agreements between experimental results and predictions were obtained, which can demonstrate the rationality of the established models.

 

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