不同退火温度下20钢的晶粒组织三维重构

doi:10.13251/j.issn.0254-6051.2024.08.042

金属热处理 ›› 2024, Vol. 49 ›› Issue (8): 248-253.DOI: 10.13251/j.issn.0254-6051.2024.08.042

不同退火温度下20钢的晶粒组织三维重构

李子豪^1,2, 黄素霞^1,3, 张博函^1,2, 李河宗^1,2, 曹成龙^1,2, 赵劲松⁴

1.河北工程大学机械与装备工程学院, 河北邯郸 056038;
2.河北工程大学河北省智能工业装备技术重点实验室, 河北邯郸 056038;
3.北京科技大学机械工程学院, 北京 100083;
4.河钢集团邯钢公司, 河北邯郸 056015

收稿日期:2024-02-27 修回日期:2024-06-27 出版日期:2024-08-25 发布日期:2024-09-27
通讯作者: 李河宗,教授,E-mail:lhzong@126.com
作者简介:李子豪(1998—),男,硕士,主要研究方向为材料成型及加工,E-mail:2664776640@qq.com。
基金资助:
河北省自然科学基金(E2013402064)

Three-dimensional reconstruction of grain structure of a 0.2%C unalloyed steel annealed at different temperatures

Li Zihao^1,2, Huang Suxia^1,3, Zhang Bohan^1,2, Li Hezong^1,2, Cao Chenglong^1,2, Zhao Jinsong⁴

1. School of Mechanical and Equipment Engineering, Hebei University of Engineering, Handan Hebei 056038, China;
2. Key Laboratory of Intelligent Industrial Equipment Technology of Hebei Province, Hebei University of Engineering, Handan Hebei 056038, China;
3. School of Mechanical Engineering, University of Science and Technology Beijing, Beijing 100083, China;
4. HBIS Group HanSteel Company, Handan Hebei 056015, China

Received:2024-02-27 Revised:2024-06-27 Online:2024-08-25 Published:2024-09-27

摘要/Abstract

摘要： 为探究20钢在不同退火温度下的晶粒形貌特征,采用系列截面法对20钢晶粒进行了三维重构和几何表征研究。基于132张范围为880 μm×390 μm的二维金相截面图,分别重构了1100 ℃和1000 ℃退火温度下的298个和446个晶粒。确立了一套详细的图像处理及三维重构流程,构建出了三维可视化晶粒模型,该晶粒模型可在三维空间内以任意角度观察其形貌特征,可以获得单个晶粒的体积及表面积。根据等效球体体积法计算晶粒尺寸,并与截线法测得的晶粒尺寸进行了对比。可知,截线法所测得的晶粒尺寸较三维模型等效体积法获得的晶粒尺寸偏大。退火时间相同时,退火温度越高,试样的最大和平均晶粒尺寸越大。

关键词: 钢, 系列截面法, 三维重构, 退火, 图像分割, 晶粒形貌

Abstract: In order to investigate the grain characteristics of an unalloyed steel with 0.2%C annealed at different temperatures, the grains were studied by three-dimension (3D) reconstruction and geometric characterization based on serial cross-sectioning (SCS) method. Based on 132 two-dimensional metallographic cross section images with a size of 880 μm×390 μm, 298 and 446 grains of the steel annealed at 1100 ℃ and 1000 ℃, respectively, were reconstructed. A detailed flow of image processing and 3D reconstruction was established, and a 3D visual grain model was constructed. The results show that the 3D model constructed can be viewed at any directions in the 3D space, and the volume and surface area of individual grains can be obtained. The grain size is calculated according to the equivalent sphere volume (ESV) method, and compared with the grain size measured by the intercept method, showing that the grain size measured by the intercept method is larger than that by the ESV method. The higher the annealing temperature, the larger the maximum and average grain sizes of the specimen under the same annealing time.

Key words: steel, serial cross-sectioning, three-dimensional reconstruction, annealing, image segmentation, grain morphology

中图分类号:

TG111.7

李子豪, 黄素霞, 张博函, 李河宗, 曹成龙, 赵劲松. 不同退火温度下20钢的晶粒组织三维重构[J]. 金属热处理, 2024, 49(8): 248-253.

Li Zihao, Huang Suxia, Zhang Bohan, Li Hezong, Cao Chenglong, Zhao Jinsong. Three-dimensional reconstruction of grain structure of a 0.2%C unalloyed steel annealed at different temperatures[J]. Heat Treatment of Metals, 2024, 49(8): 248-253.

参考文献

[1]Bhandari Y, Sarkar S, Groeber M, et al. 3D polycrystalline microstructure reconstruction from FIB generated serial sections for Fe analysis[J]. Computational Materials Science, 2007, 4(2): 222-228.
[2]宋晓艳. 体视学、图像分析与计算材料学之间的关系及进展[J]. 中国体视学与图像分析, 2008, 13(4): 280-285.
Song Xiaoyan. Progress on the multi-disciplinary relationship of stereology, image analysis and computational materials science[J]. Chinese Journal of Stereology and Image Analysis, 2008, 13(4): 280-285.
[3]王浩, 刘国权, 秦湘阁. 三维晶粒长大速率方程的大尺度Potts模型Monte Carlo仿真验证[J]. 金属学报, 2008, 44(1): 13-18.
Wang Hao, Liu Guoquan, Qin Xiangge. Verification of 3D grain growth rate equations with large-scale Potts model Monte Carlo simulation[J]. Acta Metallurgica Sinica, 2008, 44(1): 13-18.
[4]Streitenberger P, Zöllner D. Effective growth law from three-dimensional grain growth simulations and new analytical grain size distribution[J]. Scripta Materialia, 2006, 55(5): 461-464.
[5]Rodgers T M, Madison J D, Tikare V. Simulation of metal additive manufacturing microstructures using kinetic Monte Carlo[J]. Computational Materials Science, 2017, 135: 78-89.
[6]Fang Z, Jiang Z Y, Wei D B. Modeling of grained heterogeneity with Voronoi tessellation in microforming process[J]. Applied Mechanics and Materials, 2014, 553: 66-70.
[7]张丰果, 董湘怀, 章海明, 等. 微镦粗过程晶体塑性模型研究[J]. 塑性工程学报, 2011, 18(3): 5-8.
Zhang Fengguo, Dong Xianghuai, Zhang Haiming, et al. The study of crystal plasticity model in micro-upsetting[J]. Journal of Plasticity Engineering, 2011, 18(3): 5-8.
[8]刘国权. 材料三维显微组织形态研究: 进展与展望[J]. CT理论与应用研究, 2000(S1): 148-153.
Liu Guoquan. Development of three-dimensional micro-morphology of materials and its prospects[J]. Computerized Tomography Theory and Applications, 2000(S1): 148-153.
[9]Salvo L, Cloetens P, Maire E, et al. X-ray micro-tomography an attractive characterisation technique in materials science[J]. Nuclear Instruments and Methods in Physics Research Section B, 2003, 200: 273-286.
[10]Jordina Torrents-Barrena, Gemma Piella, Narcís Masoller, et al. Fully automatic 3D reconstruction of the placenta and its peripheral vasculature in intrauterine fetal MRI[J]. Medical Image Analysis, 2019, 54: 263-279.
[11]李瑶, 魏振伟, 刘昌奎, 等. 连续切片技术在三维重构中的应用[J]. 兵器材料科学与工程, 2019, 42(1): 127-132.
Li Yao, Wei Zhenwei, Liu Changkui, et al. Application of serial sectioning technology in three-dimensional reconstruction[J]. Ordnance Material Science and Engineering, 2019, 42(1): 127-132.
[12]常娜. 图像处理中的边缘检测算法研究综述[J]. 中国科技信息, 2011(4): 130-131.
[13]Ullah A, Liu Guoquan, Wang Hao, et al. Optimal approach of three-dimensional microstructure reconstructions and visualizations[J]. Materials Express, 2013, 3(2): 109-118.

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不同退火温度下20钢的晶粒组织三维重构

Three-dimensional reconstruction of grain structure of a 0.2%C unalloyed steel annealed at different temperatures

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