Please wait a minute...
材料导报  2026, Vol. 40 Issue (1): 25010165-10    https://doi.org/10.11896/cldb.25010165
  金属与金属基复合材料 |
基于非激励的连铸坯振痕检测方法
冯凯斌1, 刘润聪1, 李思龙1, 吴云飞1,2, 那贤昭1,2, 王晓东1,3,*
1 中国科学院大学材料科学与光电技术学院,北京 100049
2 钢铁研究总院先进钢铁流程及材料国家重点实验室,北京 100081
3 中国科学院大学材料与机械工程国际创新中心,北京 100049
Detection of the Oscillation Marks on Casting Slabs Using Magnetic Flux Variation and the Nonexcitation Method
FENG Kaibin1, LIU Runcong1, LI Silong1, WU Yunfei1,2, NA Xianzhao1,2, WANG Xiaodong1,3,*
1 College of Materials Science and Opto-Electronic Technology, University of Chinese Academy of Science, Beijing 100049, China
2 State Key Laboratory of Advanced Steel Processes and Products, Central Iron and Steel Research Institute, Beijing 100081, China
3 International Innovation Center for Materials and Mechanical Engineering, University of Chinese Academy of Science, Beijing 100049, China
下载:  全 文 ( PDF ) ( 13761KB ) 
输出:  BibTeX | EndNote (RIS)      
摘要 本工作测量了铸坯在铸钢过程中产生的磁场引起的残余杂散磁场,用以监测其表面振痕情况。目前使用的光学方案由于表面氧化皮的影响,检测性能较差,高精度磁传感器在高温下不能很好地工作。本工作基于金属磁记忆和电磁感应方法,使用小型线圈传感器测量其振痕带来的的剩磁强度变化,无需外部激励源即可进行检测。使用这项技术,所提出的方案在高温(高达670 ℃)下成功检测到缺陷,而无需冷却装置。主要发现包括能够检测表面和近表面缺陷(如裂纹和振痕),信号处理后信噪比(SNR)提高到7.2 dB。该方法还证明了在钢厂环境中的实际可行性,在该环境下对铸坯进行了测试并识别缺陷,为改善工业质量控制奠定了基础。所提出的检测方案在高温应用的无损检测方面取得了重大进展,有助于更高效、更准确地监测铁磁材料的完整性。
服务
把本文推荐给朋友
加入引用管理器
E-mail Alert
RSS
作者相关文章
冯凯斌
刘润聪
李思龙
吴云飞
那贤昭
王晓东
关键词:  振痕  剩磁  金属磁记忆  近表面缺陷  无损检测    
Abstract: The residual stray magnetic fields present in ferromagnetic casting slabs were investigated in this work, which result from the magnetic fields generated during the steel casting process. Existing optical detection methods face challenges owing to surface oxide scales, and conventional high-precision magnetic sensors are ineffective at high temperatures. To overcome these limitations, a small coil sensor was employed to measure the residual magnetism strength in oscillation traces, using metal magnetic memory and electromagnetic induction methods, which can carry out detection without an external excitation source. Using this technology, the proposed scheme successfully detects defects at high tempe-ratures (up to 670 ℃) without a cooling device. The key findings include the ability to detect both surface and near-surface defects, such as cracks and oscillation marks, with an enhanced signal-to-noise ratio (SNR) of 7.2 dB after signal processing. The method's practicality was validated in a steel mill environment, where testing on casting slabs effectively detected defects, providing a foundation for improving industrial quality control. The proposed detection scheme offers a significant advancement in nondestructive testing (NDT) for high-temperature applications, contributing to more efficient and accurate monitoring of ferromagnetic material integrity.
Key words:  oscillation marks    remanence    metal magnetic memory    near surface defects    nondestructive testing (NDT)
出版日期:  2026-01-10      发布日期:  2026-01-09
ZTFLH:  TH86  
基金资助: 中国科学院科研仪器设备研制项目(YJKYYQ20200053)
引用本文:    
冯凯斌, 刘润聪, 李思龙, 吴云飞, 那贤昭, 王晓东. 基于非激励的连铸坯振痕检测方法[J]. 材料导报, 2026, 40(1): 25010165-10.
FENG Kaibin, LIU Runcong, LI Silong, WU Yunfei, NA Xianzhao, WANG Xiaodong. Detection of the Oscillation Marks on Casting Slabs Using Magnetic Flux Variation and the Nonexcitation Method. Materials Reports, 2026, 40(1): 25010165-10.
链接本文:  
https://www.mater-rep.com/CN/10.11896/cldb.25010165  或          https://www.mater-rep.com/CN/Y2026/V40/I1/25010165
1 Gan Yong, Tang Hongwei, Qiu Shengtao. Science of China (Volume E: Technical Science), 2008, 38 (9), 1384.
2 Zhao Liming. Research on surface defect detection method of continuous casting hot billet based on laser scanning imaging and heterogeneous CCD fusion. Ph.D. Thesis, Chongqing University, China, 2014.
3 Huang Jun, Wang Baofeng, Zhang Xueyuan, et al. Continuous Casting, 2022(6), 61.
4 Chang Zhentao, Wei Zhanshan, Li Zhuang, et al. Casting Technology, 2017, 38 (11), 2717.
5 An Hanghang, Han Chuanji, Gao Zhong. CN102581244A, 2012.
6 Cen Ruochen. Research on defect detection and classification of conti-nuous casting steel plates based on image features. Master's Thesis, Nanjing University of Science and Technology, China, 2020.
7 Zhou Peng. Online detection method for surface defects of high-temperature castings based on multi information fusion. Ph.D. Thesis,Beijing University of Science and Technology, China, 2015.
8 Gholizadeh S. Procedia Structural Integrity, 2016, 1, 050.
9 Liu Bin, Lian Zheng, Liu Tong, et al. Measurement Science and Technology, 2023, 34, 044003.
10 Feng Kaibin, Teng Junbo, Zhao Zhen, et al. Measurement Science and Technology, 2023, 35, 045101.
11 Teng Junbo. Research of the technology of internal defect detector and instrument development. Master's Thesis, University of Chinese Academy of Sciences, China, 2022.
12 Sun Yanhua, Kang Yihua. Ndt & E International, 2010, 43, 348.
13 Deng Zhiyang, Kang Yihua, Zhang Jikai, et al. Sensors & Actuators A Physical, 2018, 27/71, 24.
14 Li Jiawei, Chen Jimao. Non destructive testing manual, Machinery Industry Press, 2002.
15 Xu Fan. Research and application of metal magnetic memory testing technology. Master's Thesis, Zhejiang University, China, 2013.
16 Zhou Zhaoming, Zhou Wenchao, Yu Jiansheng, et al. Sensors and Mic-rosystems, 2023, 42 (8), 6.
17 Zhao Min, Ding Ning, Yuan Xiaoqiang, et al. Non destructive Testing, 2023, 45 (4), 17
18 Dubov A A. Diagnostics of metal items and equipment by means of metal magnetic memory//NDT’99 and UK Corrosion’99, 1999, 287.
19 Wang K, Yao L, Cai Y, et al. In: FZU-OPU-NTOU Joint Symposium on Advanced Mechanical Science & Technology for Industrial Revolution 4.0. Springer Singapore, Singapore, 2016, pp.87.
20 He Guanyang, Zhang Yiou, Hu Yuebin, et al. Sensors and Actuators A Physical, 2021(7), 112966.
[1] 赵帅, 文绍牧, 廖柯熹, 秦林, 林冬, 高健. 无损检测技术在高含硫天然气管道中的应用研究进展[J]. 材料导报, 2025, 39(9): 24030169-9.
[2] 单志龙, 侯福金, 梅波, 刘庆阳, 张守祺, 张云升, 路振宝. 混凝土桥梁预应力钢筋锈蚀的研究进展[J]. 材料导报, 2025, 39(20): 24110151-11.
[3] 龚梓桑, 胡钢. 基于磁记忆技术的海洋出水铁质文物状态评估与监测——以南海Ⅰ号出水铁器为例[J]. 材料导报, 2025, 39(2): 24030002-6.
[4] 冷建成, 赵雷, 张新, 许宏伟. 基于磁记忆在线监测的再制造毛坯疲劳寿命预测方法[J]. 材料导报, 2025, 39(2): 23040250-6.
[5] 苏三庆, 邓瑞泽, 王威, 易术春, 左付亮, 刘馨为, 李俊廷. 基于金属磁记忆的弯曲工字钢梁的力-磁效应[J]. 材料导报, 2024, 38(4): 22070065-8.
[6] 张洪, 张宇洁, 程呈, 童凯, 邱健, 周建庭. 基于自发漏磁效应的钢丝束多点断丝损伤检测研究[J]. 材料导报, 2024, 38(15): 23040079-8.
[7] 李静, 张灵, 王昊, 陈犇, 陈东彬, 黄莹, 陈正. 碱激发矿渣混凝土密实性超声无损检测法及其影响因素[J]. 材料导报, 2024, 38(11): 22090243-7.
[8] 陈韩青, 徐志远, 屈仲毅, 曾辉, 朱长春. 蜂窝夹层结构无损检测方法研究综述[J]. 材料导报, 2024, 38(10): 22090208-15.
[9] 彭乐, 郑志军. 激光选区熔化成形金属件的缺陷类型及表征方法概述[J]. 材料导报, 2023, 37(8): 21050053-7.
[10] 何绪林, 叶勤燕, 罗坤, 郑兴平, 冉小龙, 廖成. 高精准度检测紧固件轴向预紧力的薄膜压电传感器的研究[J]. 材料导报, 2023, 37(7): 21080201-4.
[11] 温飞娟, 温奇飞, 龙樟, 蒲京辰, 邓荣. 基于超声红外热波技术的再制造零件裂纹检测研究现状[J]. 材料导报, 2023, 37(6): 21030195-8.
[12] 项赫, 姜亚明, 杨晨, 周艺颖. 基于双目视觉的纬编双轴向壳体复合材料纱线取向检测方法[J]. 材料导报, 2023, 37(14): 21110125-6.
[13] 李胤, 宋远佳, 刘春华. 基于热成像的CFRP损伤检测与演化规律研究综述[J]. 材料导报, 2022, 36(Z1): 22010161-9.
[14] 乔国斌, 乔宏霞, 路承功. 兰州地铁地下水环境中钢筋混凝土通电锈蚀机理研究[J]. 材料导报, 2022, 36(19): 21010008-6.
[15] 张洪, 蒋合靖, 夏润川, 王瑰玫, 黎娅, 周建庭. 基于金属磁记忆的持荷钢绞线腐蚀检测试验研究[J]. 材料导报, 2022, 36(13): 21040232-8.
[1] Miaomiao ZHANG,Xuyan LIU,Wei QIAN. Research Development of Polypyrrole Electrode Materials in Supercapacitors[J]. Materials Reports, 2018, 32(3): 378 -383 .
[2] Acidifier at High Temperature SiO2Bearing, , , , . Research on Stabilization of Free CaO in Basic Oxygen Furnace Slag with[J]. Materials Reports, 2018, 32(2): 301 -306 .
[3] Guang MA,Xin CHEN,Licheng LU,Dongqun XIN,Li MENG,Hao WANG,Ling CHENG,Fuyao YANG. Monte Carlo Simulation of the Evolution of Goss Texture in Secondary Recrystallization of Thin Gauge Grain Oriented Silicon Steel[J]. Materials Reports, 2018, 32(2): 313 -315 .
[4] DENG Yanjun, HUANG Guangjie, CAO Lingfei, WU Xiaodong, HUANG Li. Effect of Pre-deformation on the Precipitation Behavior and Mechanical Property of Al-Cu-Li-Mn-Zr Alloy[J]. Materials Reports, 2018, 32(4): 569 -573 .
[5] CUI Yuhu, WANG Qi, GOU Guangjun, JIANG Man, ZHOU Zuowan, ZHANG Shengli, FU Jinli. Advances in Catalytic Degradation Liquefaction of Lignin[J]. Materials Reports, 2017, 31(5): 112 -116 .
[6] LIU Song, YAO Chu, YANG Zhen, LI Donghui, JIANG Xueliang. Study on Damping Performance of Foam Butyl Rubber Filled with Rare Earth Filler[J]. Materials Reports, 2017, 31(8): 46 -50 .
[7] JIA Zhihong, WENG Yaoyao, DING Lipeng, CHENG Tao, LIU Yingying, LIU Qing. Sn Microalloying for Aluminum Alloys: Strengthening Effects and Mechanisms[J]. Materials Reports, 2017, 31(9): 123 -127 .
[8] XU Yidong, ZENG Juqing, CHEN Wei, MAO Jianghong, SHEN Jiansheng, HU Danye. A State-of-the-art Review on Graphene Oxide Reinforced Cement Based Composites[J]. Materials Reports, 2017, 31(23): 150 -155 .
[9] FANG Sheng, HUANG Xuefeng, ZHANG Pengcheng, ZHOU Junpeng, GUO Nan. A Mechanism Study of Loess Reinforcing by Electricity-modified Sodium Silicate[J]. Materials Reports, 2017, 31(22): 135 -141 .
[10] YUAN Qiuhong, ZHOU Guohua, LIAO Lin. Microstructure and Mechanical Properties of Graphene Nanosheets Reinforced AZ91 Alloy Matrix Composite[J]. Materials Reports, 2018, 32(10): 1663 -1667 .
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed