基于巴克豪森原理的材料磁特性及应力检测系统研究
发布时间：2018-12-15 02:09
【摘要】：铁磁性材料在机械特性方面具有良好的适应性,因此在铁路、运输、建筑等方面被作为关键材料,得到广泛的应用。铁磁性材料在服役过程中,受力复杂,易形成局部应力和应力集中,最终造成局部塑性变形,产生缺陷,长期使用会导致疲劳损伤。另外,温度变化导致的热胀冷缩的温度应力和加工工艺导致的残余应力分布会在材料内部积累。本文选择巴克豪森噪声方法进行这部分应力的检测。为解决常规巴克豪森噪声信号特征值多次采集的波动性,寻找巴克豪森噪声与材料磁特性的数学关系,本文从巴克豪森信号产生的原理出发,分析了巴克豪森噪声信号与磁滞回线的关系,从而提出对巴克豪森噪声信号包络进行积分的曲线分析方法,分析了该积分曲线与磁滞回线的关系,并从积分曲线上提取出新的与应力以及材料磁特性相关的特征值。为完成铁磁性材料内部应力以及材料磁特性的检测,本文以嵌入式芯片为基础设计了一套巴克豪森应力检测系统,并重点介绍了基于ARM内核和Android系统为基础的人机交互软件的设计。使用此应力检测系统,本文通过四点弯曲加载实验证明可使用巴克豪森噪声方法推算磁滞回线,并可使用积分曲线上的新特征值进行应力检测。另外,本文在MTS810伺服液压试验平台上进行Q235钢试件的轴向拉伸试验,分析了包络面积、中心高度差等可靠特征值随外加拉应力的变化趋势,并通过多试件的对比,分析了材料内部应力的存在对特征值变化曲线的影响,为应力标定工作提供依据。
[Abstract]:Ferromagnetic materials have good adaptability in mechanical properties, so they are widely used as key materials in railway, transportation, construction and so on. In the service process of ferromagnetic materials, it is easy to form local stress and stress concentration, resulting in local plastic deformation, defects and fatigue damage caused by long-term use of ferromagnetic materials. In addition, the thermal stress caused by the temperature change and the residual stress distribution caused by the processing process will accumulate in the material. This paper chooses Barkhausen noise method to measure this part of stress. In order to solve the fluctuation of the characteristic value of conventional Barkhausen noise signal and to find out the mathematical relation between Barkhausen noise and the magnetic properties of materials, this paper starts from the principle of Barkhausen signal generation. The relationship between Barkhausen noise signal and hysteresis loop is analyzed, and the curve analysis method for the envelope of Barkhausen noise signal is put forward, and the relationship between the integral curve and hysteresis loop is analyzed. New eigenvalues related to stress and magnetic properties of materials were extracted from the integral curve. In order to detect the internal stress and magnetic properties of ferromagnetic materials, a Barkhausen stress detection system is designed based on embedded chip. The design of human-computer interaction software based on ARM kernel and Android system is introduced. Using this stress detection system, it is proved that the Barkhausen noise method can be used to calculate the hysteresis loop and the new eigenvalue on the integral curve can be used to detect the stress. In addition, the axial tensile test of Q235 steel specimen is carried out on the MTS810 servo hydraulic test platform. The variation trend of the reliable characteristic values such as envelope area and center height difference with the applied tensile stress is analyzed. The influence of the stress inside the material on the characteristic curve is analyzed, which provides the basis for the work of stress calibration.
【学位授予单位】：南京航空航天大学
【学位级别】：硕士
【学位授予年份】：2016
【分类号】：TM27
[Abstract]:Ferromagnetic materials have good adaptability in mechanical properties, so they are widely used as key materials in railway, transportation, construction and so on. In the service process of ferromagnetic materials, it is easy to form local stress and stress concentration, resulting in local plastic deformation, defects and fatigue damage caused by long-term use of ferromagnetic materials. In addition, the thermal stress caused by the temperature change and the residual stress distribution caused by the processing process will accumulate in the material. This paper chooses Barkhausen noise method to measure this part of stress. In order to solve the fluctuation of the characteristic value of conventional Barkhausen noise signal and to find out the mathematical relation between Barkhausen noise and the magnetic properties of materials, this paper starts from the principle of Barkhausen signal generation. The relationship between Barkhausen noise signal and hysteresis loop is analyzed, and the curve analysis method for the envelope of Barkhausen noise signal is put forward, and the relationship between the integral curve and hysteresis loop is analyzed. New eigenvalues related to stress and magnetic properties of materials were extracted from the integral curve. In order to detect the internal stress and magnetic properties of ferromagnetic materials, a Barkhausen stress detection system is designed based on embedded chip. The design of human-computer interaction software based on ARM kernel and Android system is introduced. Using this stress detection system, it is proved that the Barkhausen noise method can be used to calculate the hysteresis loop and the new eigenvalue on the integral curve can be used to detect the stress. In addition, the axial tensile test of Q235 steel specimen is carried out on the MTS810 servo hydraulic test platform. The variation trend of the reliable characteristic values such as envelope area and center height difference with the applied tensile stress is analyzed. The influence of the stress inside the material on the characteristic curve is analyzed, which provides the basis for the work of stress calibration.
【学位授予单位】：南京航空航天大学
【学位级别】：硕士
【学位授予年份】：2016
【分类号】：TM27
【参考文献】
相关期刊论文 前10条
1 刘梅;鲁铭;王世苗;徐仕，
本文编号：2379755
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