Nondestructive Evaluation Method of Carbon Mass Fraction Based on Magnetic Barkhausen Signal
摘 要
提出以磁巴克豪森(MBN)信号检测铁磁材料中碳含量的方法,用退火处理后的碳素钢得到硬度、MBN信号与碳含量的关系。硬度随碳含量增大而增大,MBN特征值随碳含量的增大先增大后减小,在碳质量分数为0.55%时,MBN特征值能取得最大值。将45钢通过不同回火温度处理得到不同硬度的试样,发现MBN信号随硬度增大逐渐递减。对比可知,碳含量的变化对MBN信号存在很大影响。若被测试样碳质量分数在0.32%~0.55%或0.55%~0.80%间时,MBN信号随碳含量单调递增或递减,可由MBN信号直接测得碳的质量分数。当被测样品碳含量介于0.32%~0.80%间时,同一MBN特征值对应着两个碳质量分数,可将MBN信号测量和硬度测量相结合,实现基于磁巴克豪森信号的碳质量分数的无损评估。
Abstract
Any factors affecting the microstructure would cause the magnetic Barkhausen noise change, therefore, a new method to detect carbon content of ferromagnetic materials based on Barkhausen signal was proposed in this paper. The annealed carbon steels were used to investigate the dependence of hardness and MBN signal on carbon content. The hardness increases with the increasing carbon content, and the characteristic values of the MBN increases initially and then decreases with the increase of carbon content, reaching a maximum value at 0.55%. The 1045 carbon steels with different hardness were obtained by treating with different tempering temperatures, finding that the MBN decreases gradually with the increasing hardness. By contrast, the effect of carbon content on the MBN is not only caused by hardness, but also by carbon content itself. When the carbon content of the sample to be measured is in the range of 0.32%~0.55% or 0.55%~0.80%, the MBN signal increases or decreases monotonically with the carbon content, and the carbon content can be measured directly by the MBN signal. When the carbon content is between 0.32% and 0.80%, the MBN measurement and hardness measurement can be combined to achieve a nondestructive evaluation of carbon content.
中图分类号 TG115.28 DOI 10.11973/wsjc201801009
所属栏目 试验研究
基金项目 国家自然科学基金资助项目(51275029,60971019)
收稿日期 2017/7/3
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备注邓雨(1992-),女,硕士研究生,主要研究方向为基于巴克豪森信号的无损检测
引用该论文: DENG Yu,YIN Liang,CHEN Juan,QI Xin. Nondestructive Evaluation Method of Carbon Mass Fraction Based on Magnetic Barkhausen Signal[J]. Nondestructive Testing, 2018, 40(1): 37~42
邓雨,尹亮,陈娟,祁欣. 基于磁巴克豪森信号的碳质量分数的无损评估方法[J]. 无损检测, 2018, 40(1): 37~42
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【3】高铭, 王平, 黄凯,等. 基于巴克豪森原理的Q235钢沿深度方向应力分布检测[J].无损检测,2015,37(11):22-25.
【4】王树志, 李川, 乔海燕,等. 300M钢镀铬层下烧伤缺陷的巴克豪森检测[J].无损检测,2014,36(7):39-41.
【5】SHU D, GUO L, YIN L, et al. The effect of stress and incentive magnetic field on the average volume of magnetic Barkhausen jump in iron[J].Journal of Magnetism and Magnetic Materials,2015,394:195-199.
【6】BLAOW M, EVANS J T, SHAW B A. The effect of microstructure and applied stress on magnetic Barkhausen emission in induction hardened steel[J]. Journal of Materials Science, 2007, 42(12):4364-4371.
【7】闫小明,王平,田贵云,等. 室外温度变化对巴克豪森检测的影响[J]. 无损检测,2011,33(12):14-20.
【8】GUO L, SHU D, YIN L, et al. The effect of temperature on the average volume of Barkhausen jump on Q235 carbon steel[J]. Journal of Magnetism and Magnetic Materials, 2016, 407:262-265.
【9】傅洁, 殷华宇, 陈娟,等. 基于巴克豪森效应的钢轨应力检测系统设计[J]. 电子测量与仪器学报, 2013, 27(5):403-408.
【10】潘立, 张士晶, 万刚,等. 基于巴克豪森效应的铁磁性材料硬度检测[J].无损检测,2016,38(12):28-31.
【11】NG D H L, CHENG K, CHO K S, et al. Nondestructive evaluation of carbon contents and microstructures in plain carbon steel bars by Barkhausen emission[J]. IEEE Transactions on Magnetics, 2001, 37(4):2734-2736.
【12】MOORTHY V, SHAW B A, EVANS J T. Evaluation of tempering induced changes in the hardness profile of case-carburised EN36 steel using magnetic Barkhausen noise analysis[J]. NDT and E International, 2003, 36(1):43-49.
【13】KAMEDA J, RANJAN R. Nondestructive evaluation of steels using acoustic and magnetic barkhausen signals-I. Effect of carbide precipitation and hardness[J]. Acta Metallurgica,1987,35(7):1515-1526.
【14】JILES D C. Dynamics of domain magnetization and the Barkhausen effect[J]. Czechoslovak Journal of Physics, 2000, 50(8):893-924.
【15】CAPÓ-SÁNCHEZ J, PÉREZ-BENITEZ J A, PADOVESE L R, et al. Dependence of the magnetic Barkhausen emission with carbon content in commercial steels[J]. Journal of Materials Science, 2004, 39(4):1367-1370.
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