研究论文

偏析干预下体心立方金属再结晶织构竞争

  • 常松涛 ,
  • 张芳 ,
  • 沙玉辉 ,
  • 左良
展开
  • 1东北大学 材料各向异性与织构教育部重点实验室 沈阳 110819
    2中国科学院金属研究所 沈阳 110016
常松涛,男,1992年生,博士生
左 良,lzuo@mail.neu.edu.cn,主要从事金属材料织构控制理论与技术研究

收稿日期: 2023-02-27

  修回日期: 2023-04-18

  网络出版日期: 2023-05-05

基金资助

国家自然科学基金项目(51931002)

Recrystallization Texture Competition Mediated by Segregation Element in Body-Centered Cubic Metals

  • CHANG Songtao ,
  • ZHANG Fang ,
  • SHA Yuhui ,
  • ZUO Liang
Expand
  • 1Key Laboratory for Anisotropy and Texture of Materials, Ministry of Education, Northeastern University, Shenyang 110819, China
    2Institute of Metal Research, Chinese Academy of Sciences, Shenyang 110016, China
ZUO Liang, professor, Tel:(024)83691560, E-mail: lzuo@mail.neu.edu.cn

Received date: 2023-02-27

  Revised date: 2023-04-18

  Online published: 2023-05-05

Supported by

National Natural Science Foundation of China(51931002)

摘要

采用实验和模拟相结合的方法研究了含偏析元素Sb的体心立方Fe-3%Si合金再结晶织构间的竞争。结果表明,偏析元素通过抑制γ (<111>//ND,ND为轧面法向)再结晶晶粒向α (<110>//RD,RD为轧制方向)等低储能形变晶粒的入侵,削弱γ再结晶织构组分、强化α等再结晶织构组分,形变织构和临界入侵半径是影响偏析效应的主要因素。构建了基于形核与长大动力学的偏析干预下再结晶织构竞争关系模型,模拟了γ再结晶晶粒向α形变晶粒入侵行为对临界入侵半径和形变织构的依赖性及其动力学过程。指出偏析元素可以通过延长入侵孕育期并降低入侵速率来抑制γ再结晶晶粒消耗α形变晶粒,抑制效果随临界入侵半径和γ形变织构含量的提高先增强后减弱。

本文引用格式

常松涛 , 张芳 , 沙玉辉 , 左良 . 偏析干预下体心立方金属再结晶织构竞争[J]. 金属学报, 2023 , 59(8) : 1065 -1074 . DOI: 10.11900/0412.1961.2023.00077

Abstract

Recrystallization texture is determined by the competition among various texture components during nucleation and grain growth. The stored energy and orientation gradient depend on the grain orientation in the deformed microstructure. Texture components, nucleating at positions with high stored energy and a sharp orientation gradient have kinetic advantages, can consume the nucleation sites and potential growth space of recrystallized grains in adjacent deformed grains. Segregation elements can hinder nucleation and growth of recrystallization grains by reducing grain boundary mobility, and thus prevent texture components with kinetic advantages from invading adjacent deformed grains. It is valuable to provide a basis for precise recrystallization texture design and control by investigating the competitive relations among recrystallization texture components under the intervention of segregation elements. The recrystallization texture competition in a body-centered cubic Fe-3%Si alloy containing Sb was studied through experiment and simulation. It was found that the segregation element can weaken the γ (<111>//ND, ND—normal direction) and strengthen the α (<110>//RD, RD—rolling direction), as well as other recrystallization texture components with low stored energy, by inhibiting the invasion of γ-recrystallized grains into adjacent deformed grains. The two dominant factors for segregation effects are deformation texture and critical invasion radius. A quantitative model, based on nucleation and growth kinetics, was proposed to explore the effect of critical invasion radius and deformation texture on recrystallization texture competition mediated by segregation elements. It was found that segregation elements can prolong the invasion incubation period and reduce the invasion rate to inhibit the consumption of α-deformed grains by γ-recrystallized grains. The inhibition effect initially strengthened and then weakened with the increasing γ deformation texture.

参考文献

1 Wauthier-Monnin A, Chauveau T, Castelnau O, et al. The evolution with strain of the stored energy in different texture components of cold-rolled IF steel revealed by high resolution X-ray diffraction [J]. Mater. Charact., 2015, 104: 31
2 Hawezy D, Birosca S. Disparity in recrystallization of α- & γ-fibers and its impact on cube texture formation in non-oriented electrical steel [J]. Acta Mater., 2021, 216: 117141
3 Sanjari M, He Y L, Hilinski E J, et al. Texture evolution during skew cold rolling and annealing of a non-oriented electrical steel containing 0.9wt% silicon [J]. J. Mater. Sci., 2017, 52: 3281
4 Sebald R, Gottstein G. Modeling of recrystallization textures: Interaction of nucleation and growth [J]. Acta Mater., 2002, 50: 1587
5 Fu Q, Sha Y H, Zhang F, et al. Correlative effect of critical parameters for η recrystallization texture development in rolled Fe81Ga19 sheet: Modeling and experiment [J]. Acta Mater., 2019, 167: 167
6 Sánchez-Araiza M, Godet S, Jacques P J, et al. Texture evolution during the recrystallization of a warm-rolled low-carbon steel [J]. Acta Mater., 2006, 54: 3085
7 Okuda K, Rollett A D. Monte Carlo simulation of elongated recrystallized grains in steels [J]. Comput. Mater. Sci., 2005, 34: 264
8 Shimanaka H, Irie T, Matsumura K, et al. A new non-oriented Si-steel with texture of {100}<ovw> [J]. J. Magn. Magn. Mater., 1980, 19: 63
9 Vodopivec F, Marin?ek F, Gre?ovnik F, et al. Effect of antimony of energy losses in non-oriented 1.8 Si, 0.3 Al electrical sheets [J]. J. Magn. Magn. Mater., 1991, 97: 281
10 Lee S, De Cooman B C. Effect of phosphorus on the magnetic losses of non-oriented 2%Si steel [J]. ISIJ Int., 2012, 52: 1162
11 Godec M, Jenko M, Mast R, et al. Texture measurements on electrical steels alloyed with tin [J]. Vacuum, 2001, 61: 151
12 Chang S K, Huang W Y. Texture effect on magnetic properties by alloying specific elements in non-grain oriented silicon steels [J]. ISIJ Int., 2005, 45: 918
13 Mavrikakis N, Saikaly W, Calvillo P R, et al. How Sn addition influences texture development in single-phase Fe alloys: Correlation between local chemical information, microstructure and recrystallisation [J]. Mater. Charact., 2022, 190: 112072
14 Duggan B J, Tse Y Y. Crystal growth in deformed metals by an impingement and spheroidisation process [J]. Acta Mater., 2004, 52: 387
15 Bailey J E, Hirsch P B. The recrystallization process in some polycrystalline metals [J]. Proc. R. Soc., 1962, 267A: 11
16 Cram D G, Fang X Y, Zurob H S, et al. The effect of solute on discontinuous dynamic recrystallization [J]. Acta Mater., 2012, 60: 6390
17 Buken H, Kozeschnik E. Modeling static recrystallization in Al-Mg alloys [J]. Metall. Mater. Trans., 2021, 52A: 544
18 Cahn J W. The impurity-drag effect in grain boundary motion [J]. Acta Metall., 1962, 10: 789
19 Crumbach M, Goerdeler M, Gottstein G. Modelling of recrystallisation textures in aluminium alloys: I. Model set-up and integration [J]. Acta Mater., 2006, 54: 3275
20 Raabe D. A texture-component Avrami model for predicting recrystallization textures, kinetics and grain size [J]. Modell. Simul. Mater. Sci. Eng., 2007, 15: 39
21 Raabe D. Multiscale recrystallization models for the prediction of crystallographic textures with respect to process simulation [J]. J. Strain Anal. Eng. Des., 2007, 42: 253
22 Hutchinson B. Deformation microstructures and textures in steels [J]. Philos. Trans. R. Soc., 1999, 357: 1471
23 Zurob H S, Bréchet Y, Dunlop J. Quantitative criterion for recrystallization nucleation in single-phase alloys: Prediction of critical strains and incubation times [J]. Acta Mater., 2006, 54: 3983
24 Witcomb M J. Dislocation cell structure relation d = Kρ -1/2: The stacking fault energy dependence of K [J]. Phys. Status Solidi, 1974, 22A: 299
25 Huang X, Jensen D J, Hansen N. Effect of grain orientation on deformation structure and recrystallization behaviour of tensile strained copper [A]. 4th International Conference on Recrystallization and Related Phenomena [C]. Tsukuba: JIM, 1999: 161
26 Buken H, Kozeschnik E. A model for static recrystallization with simultaneous precipitation and solute drag [J]. Metall. Mater. Trans., 2017, 48A: 2812
27 Després A, Mithieux J D, Sinclair C W. Modelling the relationship between deformed microstructures and static recrystallization textures: Application to ferritic stainless steels [J]. Acta Mater., 2021, 219: 117226
28 Monta?o-Zu?iga I M, Sepulveda-Cervantes G, Lopez-Hirata V M, et al. Numerical simulation of recrystallization in BCC metals [J]. Comput. Mater. Sci., 2010, 49: 512
29 Ratanaphan S, Olmsted D L, Bulatov V V, et al. Grain boundary energies in body-centered cubic metals [J]. Acta Mater., 2015, 88: 346
30 Yong Q L. The Second Phase in Steel Materials [M]. Beijing: Metallurgical Industry Press, 2006: 65
  雍岐龙. 钢铁材料中的第二相 [M]. 北京: 冶金工业出版社, 2006: 65
31 Lee H H, Jung J, Yoon J I, et al. Modelling the evolution of recrystallization texture for a non-grain oriented electrical steel [J]. Comput. Mater. Sci., 2018, 149: 57
32 Mavrikakis N, Detlefs C, Cook P K, et al. A multi-scale study of the interaction of Sn solutes with dislocations during static recovery in α-Fe [J]. Acta Mater., 2019, 174: 92
33 Faulkner R G, Song S H, Flewitt P E J. Determination of impurity-point defect binding energies in alloys [J]. Mater. Sci. Technol., 1996, 12: 904
34 Lej?ek P. Grain boundary segregation of antimony in α-iron: Prediction and experimental data [J]. J. Alloys Compd., 2004, 378: 85
35 Pérez A R A, Torres D N, Dyment F. Sb diffusion in α-Fe [J]. Appl. Phys., 2005, 81: 787
文章导航

/