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Heterogeneous austenite grain growth in ASTM A213 Grade T91 steels: Analysis of austenitic grain size distribution using kernel density estimation methodology

机译:ASTM A213 T91钢中的非均质奥氏体晶粒长大:使用核密度估计方法分析奥氏体晶粒尺寸分布

摘要

The present work studies, using statistical methods, the features of austenite grain size distributions (AGSDs) obtained in an ASTM A213-T91 steel by applying two-step thermal cycles, namely, thermal treatment at tempering temperature +'in situ' austenitisation. Changes in AGSD were produced by varying the holding time at tempering temperature and the heating rate to austenite. The application of different thermal cycle conditions induced two main characteristics in the AGSDs, i.e. the growth of a few very large grains in a matrix of small to medium sized grains, that is, heterogeneous grain size, and a bimodal grain size distribution in that matrix. Statistical techniques were used to describe the resulting AGSDs and to investigate a possible correlation between bimodality and heterogeneity. The characterisations have been carried out using the kernel density estimation (KDE) technique to compute the underlying statistical distribution, and then applying a significance test able to assess whether or not bimodality, if detected with KDE, is statistically significant. Results indicate that bimodality is evidenced for the higher heating rates to austenite and is very likely related to the development of the heterogeneous grain size structure. © 2014 Institute of Materials, Minerals and Mining.
机译:本工作使用统计方法研究了通过应用两步热循环(即回火温度+原位奥氏体化热处理)在ASTM A213-T91钢中获得的奥氏体晶粒尺寸分布(AGSD)的特征。通过改变回火温度下的保温时间和奥氏体加热速率,可以改变AGSD。不同热循环条件的应用在AGSD中产生了两个主要特征,即在中小型晶粒的基质中一些非常大的晶粒的生长,即异质晶粒尺寸,以及该基质中的双峰晶粒尺寸分布。统计技术用于描述产生的AGSD并调查双峰性和异质性之间的可能相关性。已经使用核密度估计(KDE)技术计算了基本的统计分布,然后应用了能够评估双峰性(如果用KDE检测到)是否具有统计学意义的显着性检验,从而进行了表征。结果表明,双峰态被证明具有较高的奥氏体加热速率,并且很可能与异相晶粒尺寸结构的发展有关。 ©2014材料,矿物和采矿学院。

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