基于磁记忆梯度张量信号的缺陷二维反演研究  被引量:3

Research on Defect 2-D Inversion Based on Gradient Tensor Signals of Metal Magnetic Memory

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作  者:陈海龙[1] 王长龙[1] 左宪章[1] 朱红运[1] 

机构地区:[1]军械工程学院无人机工程系,河北石家庄050003

出  处:《兵工学报》2017年第5期995-1001,共7页Acta Armamentarii

基  金:河北省自然科学基金项目(E2015506004)

摘  要:金属磁记忆检测技术是一种能对铁磁材料早期微观损伤及应力集中进行有效诊断的无损检测方法,针对二维反演方法难以准确得到缺陷分布的问题,提出了磁记忆梯度张量分析方法。分析磁梯度张量的测量要素,设计了磁记忆梯度张量信号测量方案;将磁记忆信号水平梯度模量作为缺陷边界反演的特征量,通过水平梯度模量的极大值位置来确定缺陷的边界及分布。裂纹二维反演实验结果表明,该方法不受检测方向影响,可对缺陷二维分布进行准确反演。Metal magnetic memory (MMM) technology is a nondestructive detection method which is used for early diagnosis of microscopic damage and stress concentration. Since the defect profile is difficult to reconstructed by the existing methods, an analysis method based on magnetic gradient tensor is proposed. A magnetic gradient tensor measuring method is designed based on the analysis of measuring essential factors of magnetic gradient tensor, and a characteristic parameter of horizontal gradient modulus is used to estimate the damage location and boundary by horizontal gradient modulus maximum value. The experimental results of crack 2-D inversion show that the proposed method based on magnetic gradient tensor is not influenced by detection direction, and it is an effective and feasible approach for damage two-dimensional inversion.

关 键 词:电磁学 金属磁记忆 磁梯度张量 水平梯度模量 二维反演 

分 类 号:TG115.27[金属学及工艺—物理冶金]

 

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