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Zanyang Liu, Haitao Zhao, Lu Qin, Junheng Gao, Honghui Wu, Zhongzhu Liu, Chaolei Zhang, Yuhe Huang, Jun Lu, and Shuize Wang, Quantitative analysis of crystallographic characteristics and hierarchical structures of bainite and martensite: Role of prior austenite grain size, Int. J. Miner. Metall. Mater., (2026). https://doi.org/10.1007/s12613-025-3279-3
Zanyang Liu, Haitao Zhao, Lu Qin, Junheng Gao, Honghui Wu, Zhongzhu Liu, Chaolei Zhang, Yuhe Huang, Jun Lu, and Shuize Wang, Quantitative analysis of crystallographic characteristics and hierarchical structures of bainite and martensite: Role of prior austenite grain size, Int. J. Miner. Metall. Mater., (2026). https://doi.org/10.1007/s12613-025-3279-3
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贝氏体与马氏体晶体学特征及多层级组织的定量分析:原始奥氏体晶粒尺寸的作用

摘要: 本研究探讨了22–62 μm范围内的原奥氏体晶粒尺寸(prior-austenite grain size,PAGS)对高强度低合金钢中贝氏体和马氏体晶体学特征及多层级组织的影响。当PAGS ≤ 52 μm时,组织以贝氏体为主;当PAGS增大至62 μm时,由于马氏体转变开始温度升高,组织则以马氏体为主。通过电子背散射衍射分析和原奥氏体取向重构,对组织的晶体学特征,包括变体选择和变体配对行为进行了分析,且每个试样均统计了超过100个原奥氏体晶粒(prior-austenite grain,PAG)。随着PAGS增大,三个贝氏体试样中每个PAG内的变体类型总数平均分别为14.6、14.1和18.3,表明较大PAGS下的变体选择作用减弱。由于自催化形核不充分,尺寸较小的PAG倾向于形成较少的变体类型。对于贝氏体试样,随着PAGS增大,V1/V2和V1/V4变体对的比例降低,而V1/V8变体对的比例升高。相比之下,马氏体试样更倾向于形成属于同一CP组的变体,尤其是具有自协调特征的V1/V2变体对。这主要归因于较细PAGS下奥氏体基体强度的提高和相变温度的降低,二者共同促进了相变应变的自协调。在多层级组织方面,当PAGS≤52 μm时,随着PAG尺寸减小,每个PAG内的packet、Bain grain、block和sub-block数量均减少,其平均面积也随之减小,这主要受到空间约束的影响。当PAGS增大至62 μm时,packet发生粗化,而其他层级组织则表现出细化特征。本研究构建了一种用于分析钢中晶体学特征和多层级组织的统计学研究框架,可为通过调控原奥氏体晶粒尺寸优化贝氏体和马氏体相变提供理论依据。

 

Quantitative analysis of crystallographic characteristics and hierarchical structures of bainite and martensite: Role of prior austenite grain size

Abstract: This study investigates the effects of prior austenite grain size (PAGS) ranging from 22 to 62 μm on the crystallographic characteristics and hierarchical structures of bainite and martensite in a high-strength low-alloy steel. Bainite dominates when the PAGS ≤ 52 μm, whereas martensite prevails at a PAGS of 62 μm owing to elevated martensite start temperature. Using electron backscatter diffraction analysis and prior austenite orientation reconstruction, the crystallographic characteristics (variant selection and variant pairing) were analyzed, and more than 100 prior austenite grains (PAGs) were examined per specimen. As the PAGS increased, the total average number of variant types per PAG in the bainite specimens were 14.6, 14.1, and 18.3, thus indicating weakened variant selection at larger PAGSs. Smaller PAGs tend to form fewer variant types owing to insufficient autocatalytic nucleation. Variant pairing in the bainite specimens shows a decrease in the fractions of variant 1 (V1)/V2 and V1/V4 pairs and an increase in the fraction of V1/V8 pairs as the PAGS increases. By contrast, the martensitic specimen favors the formation of variants within the same close-packed plane (CP) group, particularly the self-accommodating V1/V2 pair. This is attributed to the enhanced austenite matrix strength and the reduction in transformation temperatures at finer PAGSs, which promotes the self-accommodation of transformation strain. Regarding hierarchical structures, for PAGS measuring ≤ 52 μm, the number of packets, Bain grains, blocks, and sub-blocks per PAG decrease and their mean area decreases with their size primarily due to spatial constraints. A PAGS of 62 μm results in packet coarsening, whereas other hierarchical structures undergo refinement. This study provides a statistical framework for analyzing the crystallographic characteristics and hierarchical structure of steels, thus offering insights into the optimization of bainitic and martensitic transformations through PAGS regulation.

 

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