Impacts of Nb on grain refinement in a simulated coarse-grained-heat-affected-zone of ultra-high-strength steels

IF 2.9 3区 材料科学 Q2 MATERIALS SCIENCE, MULTIDISCIPLINARY
Libo Wang, Cheng-yang Hu, X. Wan, S. Zhou, R. Wei, C. Zhu, Guangqiang Li, K. Wu
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引用次数: 0

Abstract

ABSTRACT The impact of Nb contents on grain refinement in a simulated coarse-grained heated-affected zone (CGHAZ) in steels was investigated. The austenite grain grew in multiple directions and then impinged against each other during the α→γ transformation. Subsequently, austenite grains coarsened via the coalescence of small grains and boundary migration. With the increased Nb content, the austenite in CGHAZ became coarser due to the decreased quantity and increased size of Nb precipitates. Furthermore, the austenite decomposed into bainite during the cooling process. Compared with the low-Nb specimen, the crystallographic grain size in CGHAZ of high-Nb specimen is slightly coarser, relating to the coarser prior austenite grain. However, higher Nb content delays the bainite transformation start temperature, leading to multiple variants selection of bainite, increasing the refinement ratio.
Nb对模拟超高强度钢粗晶热影响区晶粒细化的影响
摘要研究了Nb含量对钢中模拟粗晶粒热影响区(CGHAZ)晶粒细化的影响。奥氏体晶粒向多个方向生长,然后在α→γ变换。随后,奥氏体晶粒通过小晶粒的聚结和边界迁移而粗化。随着Nb含量的增加,由于Nb析出物的数量减少和尺寸增大,CGHAZ中的奥氏体变得更粗。此外,奥氏体在冷却过程中分解为贝氏体。与低Nb试样相比,高Nb试样CGHAZ的晶粒尺寸略粗,这与较粗的先前奥氏体晶粒有关。然而,较高的Nb含量延迟了贝氏体转变的起始温度,导致贝氏体的多种变体选择,提高了细化率。
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来源期刊
Science and Technology of Welding and Joining
Science and Technology of Welding and Joining 工程技术-材料科学:综合
CiteScore
6.10
自引率
12.10%
发文量
79
审稿时长
1.7 months
期刊介绍: Science and Technology of Welding and Joining is an international peer-reviewed journal covering both the basic science and applied technology of welding and joining. Its comprehensive scope encompasses all welding and joining techniques (brazing, soldering, mechanical joining, etc.) and aspects such as characterisation of heat sources, mathematical modelling of transport phenomena, weld pool solidification, phase transformations in weldments, microstructure-property relationships, welding processes, weld sensing, control and automation, neural network applications, and joining of advanced materials, including plastics and composites.
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