The study on kinetics of metadynamic recrystallisation of a Nb-V microalloyed non-quenched and tempered steel

Q3 Engineering
Liwen Zhang, Wenfei Shen, Chi Zhang, Yingnan Xia, Xin-hua Shi, Fei Xia
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引用次数: 0

Abstract

The metadynamic recrystallisation (MDRX) behaviour of a Nb-V microalloyed non-quenched and tempered steel was investigated by isothermal hot compression tests on Gleeble-1500 thermal-mechanical simulator. Compression tests were performed using double hit schedules at temperatures of 1,273-1,423 K, strain rates of 0.01-5 s−1, initial grain sizes of 92-149 μm and inter-pass time of 0.5-10 s. The effects of deformation parameters, including deformation temperature, strain rate, initial grain size and inter-pass time, on MDRX softening fraction were analysed. The experimental results show that MDRX softening fraction increases with the increase of deformation temperature, strain rate and inter-pass time, while it decreases with the increase of initial grain size. Based on the experimental results, the kinetic model of MDRX for the tested steel was established. A good agreement between the experimental and predicted MDRX softening fraction indicates that the established kinetic model can precisely predict the MDRX softening fraction for the tested steel.
Nb-V微合金化非调质钢的超动态再结晶动力学研究
在Gleeble-1500热机械模拟机上通过等温热压缩试验研究了Nb-V微合金化非调质钢的超动态再结晶(MDRX)行为。在1273-1423 K的温度、0.01-5 s−1的应变速率、92-149μm的初始晶粒尺寸和0.5-10 s的中间道次时间下,使用双击程序进行了压缩试验。分析了变形参数,包括变形温度、应变速率和初始晶粒尺寸以及中间道次时间对MDRX软化分数的影响。实验结果表明,MDRX软化率随着变形温度、应变速率和道次间隔时间的增加而增加,而随着初始晶粒尺寸的增加而降低。根据实验结果,建立了受试钢MDRX的动力学模型。实验和预测的MDRX软化分数之间的良好一致性表明,所建立的动力学模型可以准确预测被测钢的MDRX柔软分数。
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来源期刊
CiteScore
1.20
自引率
0.00%
发文量
3
期刊介绍: IJCMSSE is a refereed international journal that aims to provide a blend of theoretical and applied study of computational materials science and surface engineering. The scope of IJCMSSE original scientific papers that describe computer methods of modelling, simulation, and prediction for designing materials and structures at all length scales. The Editors-in-Chief of IJCMSSE encourage the submission of fundamental and interdisciplinary contributions on materials science and engineering, surface engineering and computational methods of modelling, simulation, and prediction. Papers published in IJCMSSE involve the solution of current problems, in which it is necessary to apply computational materials science and surface engineering methods for solving relevant engineering problems.
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