Corrosion Resistance of Alumina Magnesia Refractory Based on Digital Image Correlation Method

Abstract

Abstract: Steel slag corrosion is one of the main damage forms of refractory during service, and it is hard to observe the actual corrosion process directly. Traditionally, postmortem analysis is used to evaluate corrosion resistance capacity and to understand corrosion mechanism of refractory. However, the lack of process information in postmortem analysis results in deviation. Therefore, on the basis of high temperature visualization system and digital image correlation (DIC) method, three typical steel slags were selected to carry out the corrosion corrosion behavior experiments of alumina magnesia refractory, and the effects of different steel slags and heat treatment temperatures on the corrosion resistance capacity of refractory were discussed. The results show that the slag with lower basicity has more serious corrosion on refractory. The corrosion resistance capacity of alumina magnesia refractory can be effectively improved by heat treatment above 1 000 ℃. The average strain curve and corrosion strain nephogram over time can be obtained through DIC method. The average strain curve is used to compare the corrosion resistance capacity of alumina magnesia refractory to different steel slags, and the corrosion strain nephogram reflects the evolution process of corrosion. The above two provide quantitative indicators for characterizing the slag corrosion process of refractory.

Key words: alumina magnesia refractory, slag corrosion behavior, high temperature visualization, digital image correlation method, heat treatment temperature

CLC Number:

TQ175

YANG Pengpeng, WEI Guoping, HUANG Ao, LI Shenghao, GU Huazhi. Corrosion Resistance of Alumina Magnesia Refractory Based on Digital Image Correlation Method[J]. BULLETIN OF THE CHINESE CERAMIC SOCIETY, 2023, 42(2): 761-768.

References

[1] 李红霞. 耐火材料发展概述[J]. 无机材料学报, 2018, 33(2): 198-205.
LI H X. Development overview of refractory materials[J]. Journal of Inorganic Materials, 2018, 33(2): 198-205 (in Chinese).
[2] 曾大凡. 新时代中国耐火材料行业发展新趋势[J]. 耐火材料, 2019, 53(5): 321-329.
ZENG D F. Development trend of China's refractory industry in the new era[J]. Refractories, 2019, 53(5): 321-329 (in Chinese).
[3] ZHAO Q, ZHENG X, LIU C J, et al. Corrosion behavior of MgO-C ladle refractory by molten slag[J]. Steel Research International, 2021, 92(4): 2000497.
[4] LIU Z Y, YUAN L, JIN E D, et al. Wetting, spreading and corrosion behavior of molten slag on dense MgO and MgO-C refractory[J]. Ceramics International, 2019, 45(1): 718-724.
[5] 张欣, 黄晨, 唐安山. 化学组成对耐火材料抗钠冰晶石侵蚀影响研究[J]. 硅酸盐通报, 2020, 39(7): 2302-2307.
ZHANG X, HUANG C, TANG A S. Effect of chemical composition on corrosion resistance to cryolite of refractory[J]. Bulletin of the Chinese Ceramic Society, 2020, 39(7): 2302-2307 (in Chinese).
[6] 蒋旭勇, 黄奥, 顾华志, 等. 低硅CaO-Al₂O₃渣对铝镁质浇注料的侵蚀[J]. 钢铁研究学报, 2022, 34(1): 58-63.
JIANG X Y, HUANG A, GU H Z, et al. Corrosion of alumina-magnesia castable in contact with low SiO₂ containing CaO-Al₂O₃ based slags[J]. Journal of Iron and Steel Research, 2022, 34(1): 58-63 (in Chinese).
[7] PENG W D, CHEN Z, YAN W, et al. Advanced lightweight periclase-magnesium aluminate spinel refractories with high mechanical properties and high corrosion resistance[J]. Construction and Building Materials, 2021, 291: 123388.
[8] JIAO K X, FAN X Y, ZHANG J L, et al. Corrosion behavior of alumina-carbon composite brick in typical blast furnace slag and iron[J]. Ceramics International, 2018, 44(16): 19981-19988.
[9] REN X M, MA B Y, LI S M, et al. Comparison study of slag corrosion resistance of MgO-MgAl₂O₄, MgO-CaO and MgO-C refractories under electromagnetic field[J]. Journal of Iron and Steel Research International, 2021, 28(1): 38-45.
[10] 王相辉, 赵鹏达, 范润东, 等. 中频炉内衬耐火材料抗硅铁渣侵蚀性能研究[J]. 硅酸盐通报, 2018, 37(12): 3912-3915.
WANG X H, ZHAO P D, FAN R D, et al. Research on corrosion resistance of refractory material to Ferro silicon slag in intermediate frequency furnace[J]. Bulletin of the Chinese Ceramic Society, 2018, 37(12): 3912-3915 (in Chinese).
[11] PAN B, QIAN K M, XIE H M, et al. Two-dimensional digital image correlation for in-plane displacement and strain measurement: a review[J]. Measurement Science and Technology, 2009, 20(6): 062001.
[12] CHEN X, XU N, YANG L X, et al. High temperature displacement and strain measurement using a monochromatic light illuminated stereo digital image correlation system[J]. Measurement Science and Technology, 2012, 23(12): 125603.
[13] BAQERSAD J, POOZESH P, NIEZRECKI C, et al. Photogrammetry and optical methods in structural dynamics: a review[J]. Mechanical Systems and Signal Processing, 2017, 86: 17-34.
[14] PARK J, YOON S, KWON T H, et al. Assessment of speckle-pattern quality in digital image correlation based on gray intensity and speckle morphology[J]. Optics and Lasers in Engineering, 2017, 91: 62-72.
[15] WANG W, XU C H, JIN H, et al. Measurement of high temperature full-field strain up to 2 000 ℃ using digital image correlation[J]. Measurement Science and Technology, 2017, 28(3): 035007.
[16] SCHREIER H W, BRAASCH J R, SUTTON M A. Systematic errors in digital image correlation caused by intensity interpolation[J]. Optical Engineering, 2000, 39: 2915-2921.
[17] GAO Y, CHENG T, SU Y, et al. High-efficiency and high-accuracy digital image correlation for three-dimensional measurement[J]. Optics and Lasers in Engineering, 2015, 65: 73-80.
[18] REAGAN D, SABATO A, NIEZRECKI C. Feasibility of using digital image correlation for unmanned aerial vehicle structural health monitoring of bridges[J]. Structural Health Monitoring, 2018, 17(5): 1056-1072.
[19] SONG J L, YANG J H, LIU F J, et al. High temperature strain measurement method by combining digital image correlation of laser speckle and improved RANSAC smoothing algorithm[J]. Optics and Lasers in Engineering, 2018, 111: 8-18.
[20] ZHENG Q, MASHIWA N, FURUSHIMA T. Evaluation of large plastic deformation for metals by a non-contacting technique using digital image correlation with laser speckles[J]. Materials & Design, 2020, 191: 108626.
[21] BING P. Digital image correlation for surface deformation measurement: historical developments, recent advances and future goals[J]. Measurement Science and Technology, 2018, 29(8): 082001.
[22] WU D, LIN L, REN H, et al. High-temperature deformation measurement of the heated front surface of hypersonic aircraft component at 1 200 ℃ using digital image correlation[J]. Optics and Lasers in Engineering, 2019, 122: 184-194.
[23] GUO X, LIANG J, TANG Z, et al. High-temperature digital image correlation method for full-field deformation measurement captured with filters at 2 600 ℃ using spraying to form speckle patterns[J]. Optical Engineering, 2014, 53(6): 063101.
[24] POIRIER J, BLOND E, DE BILBAO E, et al. New advances in the laboratory characterization of refractories: testing and modelling[J]. Metallurgical Research & Technology, 2017, 114(6): 610.
[25] JIA X D, TIAN L, MAO S, et al. Slag erosion-resistant coating for periclase-magnesia-aluminum spinel brick[J]. Ceramics International, 2021, 47(22): 31407-31412.
[26] 潘兵, 吴大方, 高镇同. 基于数字图像相关方法的非接触高温热变形测量系统[J]. 航空学报, 2010, 31(10): 1960-1967.
PAN B, WU D F, GAO Z T. A non-contact high-temperature deformation measuring system based on digital image correlation technique[J]. Acta Aeronautica et Astronautica Sinica, 2010, 31(10): 1960-1967 (in Chinese).
[27] LI S H, HUANG A, GU H Z, et al. Visual measurement and characterisation of quasi-volcanic corrosion at alumina ceramic-oxides melt-air interface[J]. Journal of the European Ceramic Society, 2021, 41(16): 400-410.