用于预测中型-Mn第三代先进高强度钢中的奥氏体分数 (体积%) 的过程图
Azin Mehrabi1, Hatem S Zurob1, Joseph R McDermid1
1Department of Materials Science and Engineering, McMaster University, 1280 Main Street West, Hamilton, ON L8S 4L8, Canada.
Materials (Basel, Switzerland)
|March 13, 2024
概括
这项研究开发了过程图,以预测中等钢中的奥氏体积分. 这些地图通过考虑含量和温度来优化汽车应用的临界间化.
科学领域:
- 材料科学 材料科学 材料科学
- 金工业是一种金工业.
- 计算材料科学科学 计算材料科学
背景情况:
- 中等 (Mn) 钢由于其可调节的机械性能,对汽车应用至关重要.
- 在热处理过程中控制奥氏体相位分数是实现钢材所需性能的关键.
- 需要预测模型来优化复杂的临界间化过程.
研究的目的:
- 开发中等Mn钢中奥氏体积分的预测过程图.
- 了解跨临界化参数和起始微观结构对奥氏体形成的影响.
- 为优化汽车应用的钢材性能提供见解.
主要方法:
- 使用微结构分析和基于DICTarray (DICTRA) 的建模的组合.
- 开发了过程图,将奥氏体体积百分比与临界间回火参数相关联.
- 采用修改后的Koistinen和Marburger方程来计算在室温下保留的奥氏体.
主要成果:
- 奥斯石的分量显示出强烈依赖含量 (4-12重量%) 和临界间回火温度 (600-740°C).
- 对特定碳 (0.2重%), (1.5重%) 和 (1.0重%) 含量进行了计算.
- 该研究量化了回火温度,奥氏体组成和保留的奥氏体体积百分比之间的关系.
结论:
- 开发的工艺图为设计中等Mn钢的临界间处理提供了有价值的指导.
- 这些地图有助于优化钢铁微结构,以提高汽车零部件的性能.
- 预测模型有助于高效的材料设计和针对特定应用的性能量身定制.
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