4.6 Article

On the Prediction of α-Martensite Temperatures in Medium Manganese Steels

出版社

SPRINGER
DOI: 10.1007/s11661-017-4020-2

关键词

-

资金

  1. Peaslee Steel Manufacturing Research Center (PSMRC)
  2. National Science Foundation [DMR-0723128]
  3. Materials Research Center

向作者/读者索取更多资源

A new composition-based method for calculating the alpha-martensite start temperature in medium manganese steel is presented and uses a regular solution model to accurately calculate the chemical driving force for alpha-martensite formation, . In addition, a compositional relationship for the strain energy contribution during martensitic transformation was developed using measured Young's moduli (E) reported in literature and measured values for steels produced during this investigation. An empirical relationship was developed to calculate Young's modulus using alloy composition and was used where dilatometry literature did not report Young's moduli. A comparison of the normalized by dividing by the product of Young's modulus, unconstrained lattice misfit squared (delta (2)), and molar volume (Omega) with respect to the measured alpha-martensite start temperatures, , produced a single linear relationship for 42 alloys exhibiting either lath or plate martensite. A temperature-dependent strain energy term was then formulated as , which opposed the chemical driving force for alpha-martensite formation. was determined at a temperature where . The proposed model shows an extended temperature range of prediction from 170 K to 820 K (-103 A degrees C to 547 A degrees C). The model is then shown to corroborate alloy chemistries that exhibit two-stage athermal martensitic transformations and two-stage TRIP behavior in three previously reported medium manganese steels. In addition, the model can be used to predict the retained gamma-austenite in twelve alloys, containing epsilon-martensite, using the difference between the calculated and M-S(alpha). (C) The Minerals, Metals & Materials Society and ASM International 2017

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.6
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据