多电磁方法检测方向对带钢力学性能预测影响的分析

Analysis on influence of electromagnetic detection direction on mechanical property prediction of steel strip

多电磁方法的无损检测技术应用于铁磁性材料力学性能检测中时,因铁磁性材料受各种因素的影响往往呈现出磁各向异性的特征,检测时试件需保持在某一固定方向,故检测方向的选择成为一个值得研究的问题。综合切向磁场谐波分析、巴克豪森噪声检测、增量磁导率检测和多频涡流检测等方法,为探究不同检测方向对力学性能测试的影响,搭建了周向多方法的电磁无损检测测量系统,以冷轧超高强钢作为试验对象,采集电磁参数后建立BP神经网络预测模型,并运用K折交叉验证来评估检测方向对预测精度的影响。试验发现超高强钢周向电磁特征分布是不均匀的,呈现出磁各向异性的特征,沿试件宽度方向检测精度优于轧制方向的。

In the application of multi-electromagnetic nondestructive testing technology in the testing of mechanical properties of ferromagnetic materials,due to ferromagnetic materials often show the characteristics of magnetic anisotropy under the influence of various factors,the test sample needs to keep a fixed direction during testing,the selection of detection direction becomes a problem worth studying.Based on tangential magnetic field harmonic analysis,Barkhausen noise detection,incremental permeability detection,multi-frequency eddy current detection and other methods,a circumferential multi-method electromagnetic non-destructive testing measurement system was built to explore the influence of different detection directions on mechanical property testing.A BP neural network prediction model was established after collecting electromagnetic parameters of cold-rolled ultra-high strength steel as an experimental object.K-fold cross-validation was used to evaluate the influence of detection direction on prediction accuracy.It was found experimentally that the distribution of circumferential electromagnetic characteristics of ultrahigh strength steel was not uniform,showing the characteristics of magnetic anisotropy,and the detection accuracy along the width direction of the experimental sample was better than that in the rolling direction.