基于Arduino的三维磁记忆检测系统设计及试验研究

发布时间：2018-04-18 12:15

本文选题：磁记忆检测 + 传感器　；参考：《传感技术学报》2017年06期

【摘要】：利用三轴线性霍尔传感器MLX90393制作磁记忆检测探头,基于Arduino硬件开发平台研制金属磁记忆检测系统,以30CrMo材料试件为试验对象,在静载拉伸作用下开展金属磁记忆试验研究,分析磁记忆信号变化规律以及磁记忆信号梯度值与拉伸载荷之间的变化特征。实验结果表明,拉伸过程中试件表面的磁记忆信号切向分量梯度最大值在拉伸载荷达到16 kN时开始明显变化,在23 kN之后急剧增大到0.042 5;法向分量梯度最大值在拉伸载荷达到23 kN之后急剧增大到0.55。本系统为铁磁性材料中应力集中的判定和测量提供了一种有效的检测方法。
[Abstract]:The magnetic memory detection probe is made by using three-axis linear Hall sensor MLX90393. Based on the Arduino hardware development platform, the metal magnetic memory detection system is developed. Taking the 30CrMo material sample as the experimental object, the metal magnetic memory test research is carried out under the static load tensile action.The variation law of magnetic memory signal and the variation characteristics between the gradient value of magnetic memory signal and tensile load are analyzed.The experimental results show that the maximum tangential gradient of the magnetic memory signal on the surface of the specimen begins to change obviously when the tensile load reaches 16 KN.After 23 KN, the maximum normal component gradient increased sharply to 0.042, and the maximum normal component gradient increased sharply to 0.55 after the tensile load reached 23 KN.The system provides an effective method for the determination and measurement of stress concentration in ferromagnetic materials.
【作者单位】：南昌航空大学无损检测技术教育部重点实验室;南昌航空大学科技学院;
【基金】：国家自然科学基金项目(51265041) 国家重大科学仪器设备开发专项项目(2013YQ140505) 江西省教育厅基金项目(GJJ151545)
【分类号】：TP212.9;TP274

【参考文献】