作者：许洋, 任尚坤, 张文君, 温俊鸽

作者单位：南昌航空大学 无损检测技术教育部重点实验室, 江西 南昌 330063

关键词：磁导率检测;物理模型;人工裂纹;信噪比

摘要：

为探究磁导率检测技术对宏观裂纹缺陷的检测能力，设计磁导率检测平台，建立磁导率检测裂纹的物理模型。以刻有人工裂纹的45^#钢板为试验对象，研究不同的激励电压对检测信号的影响，分析传感器不同检测方向的信号特征，从正反两面对钢板裂纹进行试验研究。试验表明：磁导率检测方法完成对钢板表面和背面裂纹的检测；检测钢板背面时，该方法可以检测2.5 mm表面厚度下的裂纹，具有很高的信噪比。该研究成果可拓展磁导率检测技术的应用领域，为钢板裂纹的正背面检测提供一种新的方法。

Crack detection of steel plate based on permeability method
XU Yang, REN Shangkun, ZHANG Wenjun, WEN Junge
Key Laboratory of Nondestructive Testing of Ministry of Education, Nanchang Hangkong University, Nanchang 330063, China
Abstract: In order to explore the permeability testing technology ability to detect macroscopic crack defects, a testing platform for permeability was designed, and a physical model of permeability testing crack have been built. Then use the testing platform to detect 45^# which contain artificial cracks from front-side and back-sides of steel plate, and the relationship between detection signal and the excitation voltage amplitude was studied. At same time explored the signal characteristics of different detection directions of sensors. The study shows that the permeability testing method can detect the front-side and back-sides crack of the steel plate. When detecting the back-sides of the steel plate, the crack at the surface thickness of 2.5 mm can be detected, with a high signal-to-noise ratio. The research results expand the application field of permeability detection technology and provide a new method for the front-side and back-sides detection of steel plate cracks.
Keywords: permeability testing;physical model;artificial crack;signal-to-noise ratio
2020, 46(1):34-38,70  收稿日期: 2019-07-23;收到修改稿日期: 2019-08-27
基金项目: 国家自然科学基金资助项目（51865039）
作者简介: 许洋(1995-),男,安徽池州市人,硕士研究生,专业方向为电磁无损检测
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