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Grain-GRowth Kinetics in Nanocrystalline Iron Prepared By Ball Milling

机译:球磨机制备的纳米晶铁籽粒生长动力学

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We have prepared nanocrystalline Fe by ball milling and investigated the kinetics of grai ngrowth at annealing temepratures between 325 deg C and 535 deg C. Three different grain-growth models were used to describe the size-evolution curves: a generalized Hillert growth law with variable exponent (used to describe normal grain growth in the absence of impurities), the Burke equation assuming a constant retarding force on moving grain boundaries, and a third model in which the retarding force scales with the mean grain size owing to impurity enrichment in the grain boundaries. based on the generalized Hillert analysis, a previous invesitgation of grain growth in ball-milled nanocrystalline Fe yielded a temperature-dependent growth exponent that approached the expected value of 0.5 only at high temperatures. In contrast, we find that the grain-growth kinetics in our ball-milled Fe samples are better described by either of the two models accounting for the influence of impurities on the growth rate. Since both models reduce to the ideal Hillert model for negligible ipurity concentrations, their underlying growth exponent is 0.5. This suggests that the temperature dependence of the exponent reported for ball-milled Fe is an artefact of the model used to interpret the grain-growth data.
机译:通过球磨制备纳米晶Fe,并在325℃和535℃的退火温度下调查了Grai Ngrown的动力学。使用三种不同的晶粒生长模型来描述尺寸进化曲线:具有可变的广义山间山脉生长规律指数(用于描述在没有杂质的情况下的正常谷物生长),假设在移动晶界上具有恒定延迟力的伯克方程,以及由于谷物中的杂质富集而具有平均晶粒尺寸的延迟力缩放的第三模型边界。基于广义山间分析,谷物纳米晶Fe中的晶粒生长的先前迷失在依赖于温度依赖性生长指数,该指数仅在高温下接近0.5的预期值。相比之下,我们发现我们的球磨机中的谷物生长动力学是最好的两种模型描述了杂质对生长速率的影响。由于两种模型都减少到理想的山顶模型,以获得可忽略不计的IBUNTE浓度,其潜在的增长指数为0.5。这表明对球磨Fe的指数的温度依赖性是用于解释晶粒生长数据的模型的人工制品。

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