在同热热处理下预测奥氏体颗粒生长时,确定材料参数的实用方法
Mohd Kaswandee Razali1, Afaf Amera Abd Ghawi2, Missam Irani3
1Engineering Research Institute (ERI), School of Mechanical and Aerospace Engineering, Gyeongsang National University, Jinju 52828, Republic of Korea.
Materials (Basel, Switzerland)
|October 14, 2023
概括
本研究使用修改的阿雷尼乌斯模型和GRG优化在SA508-III钢中模拟了奥氏体粒度增长 (AGG). 较快的AGG随着时间,温度和初始颗粒大小的增加而发生.
科学领域:
- 材料科学 材料科学 材料科学
- 金工业是金工业的一个方面.
- 物理化学 物理化学
背景情况:
- 在低合金钢的热处理中,奥氏体粒度增长 (AGG) 是至关重要的.
- 控制颗粒大小会影响机械性能.
- SA508-III钢对于核能应用至关重要.
研究的目的:
- 研究时间,温度和初始颗粒大小对SA508-III钢AGG的影响.
- 为所需的奥氏体颗粒大小 (AGS) 优化热处理参数.
- 开发一个AGS演变的预测模型.
主要方法:
- 利用修改后的阿雷尼乌斯模型来描述AGS生长.
- 在参数表征中采用了通用缩小梯度 (GRG) 优化方法.
- 对实验测量进行验证的模型预测.
主要成果:
- 该模型准确地预测了在各种热处理条件下AGS的增长.
- 随着更高的温度和更长的时间,AGS会增加.
- AGS与初始颗粒大小成正比.
结论:
- 开发的模型有效且准确地预测了AGS的增长.
- GRG优化提供了精确的模型参数.
- 这些发现使SA508-III钢的最佳热处理成为可能.
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