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采用5%的单向压缩与1000℃退火的形变热处理工艺,对316L奥氏体不锈钢的晶界特征分布进行了优化,并且通过定位观察的方法研究了晶界特征分布优化的机理。结果表明,随着退火时间的增加,特殊晶界比例逐渐增加;当退火时间达到90 min时,试样的特殊晶界比例最高(69.5%),并且得到了打断的大角度随机晶界网络。晶界特征分布优化的机理是,小变形试样在退火过程中发生了局部再结晶,首先产生了以特殊晶界等低能量晶界为主的小晶粒群;之后小晶粒群中能量较高的大角度晶界开始迁移并消失,最终材料的特殊晶界比例得到了提高。
The grain boundary characteristic distribution of 316L austenitic stainless steel was optimized by 5% unidirectional compression and 1000 ℃ annealing, and the mechanism of grain boundary characteristic distribution optimization was studied by means of positioning observation. The results show that with the increase of annealing time, the proportion of special grain boundaries gradually increases. When the annealing time reaches 90 min, the proportion of the special grain boundaries is the highest (69.5%), and the interrupted large-angle random grain boundary network . The mechanism of the optimization of the grain boundary distribution is that local recrystallization occurs in the small deformation specimen during the annealing process. First, a small grain size group mainly composed of low-energy grain boundaries, such as special grain boundaries, is generated. After that, the energy Higher high-angle grain boundaries begin to migrate and disappear, and the proportion of the special grain boundaries of the final material is increased.