International Journal of Minerals, Metallurgy and Materials ( IF 5.6 ) Pub Date : 2020-09-05 , DOI: 10.1007/s12613-020-2102-4 Li Meng , Jun-ming Liu , Ning Zhang , Hao Wang , Yu Han , Cheng-xu He , Fu-yao Yang , Xin Chen
A Monte Carlo Potts model was developed to simulate the recrystallization process of a cold-rolled ultra-thin grain-oriented silicon steel. The orientation and image quality data from electron backscatter diffraction measurements were used as input information for simulation. Three types of nucleation mechanisms, namely, random nucleation, high-stored-energy site nucleation (HSEN), and high-angle boundary nucleation (HABN), were considered for simulation. In particular, the nucleation and growth behaviors of Goss-oriented ({011}<100>) grains were investigated. Results showed that Goss grains had a nucleation advantage in HSEN and HABN. The amount of Goss grains was the highest according to HABN, and it matched the experimental measurement. However, Goss grains lacked a size advantage across all mechanisms during the recrystallization process.
中文翻译:
使用改进的蒙特卡洛模型基于EBSD数据的重结晶模拟,该模型考虑了冷轧超薄晶粒取向硅钢的各向异性效应
建立了蒙特卡洛波特模型以模拟冷轧超薄晶粒取向硅钢的再结晶过程。来自电子反向散射衍射测量的取向和图像质量数据用作模拟的输入信息。为了模拟,考虑了三种类型的成核机制,即随机成核,高储能位点成核(HSEN)和高角度边界成核(HABN)。尤其是,研究了高斯取向({011} <100>)晶粒的形核和生长行为。结果表明,高斯晶粒在HSEN和HABN中具有成核优势。根据HABN,高斯晶粒的数量最高,与实验测量值相符。但是,高斯晶粒在重结晶过程中缺乏所有机制的尺寸优势。