Page 79 - 无损检测2024年第七期
P. 79

试验研究
              试验研究

              DOI:10.11973/wsjc202407008


                          多电磁方法检测方向对带钢力学性能


                                              预测影响的分析




                                              周 军 ,石 玉 ,王 平 ,唐成龙              2
                                                     1
                                                                     1
                                                             1
                    (1. 南京航空航天大学 自动化学院,南京 211106;2. 中国宝武集团上海宝钢研究院,上海 201999)
                       摘  要: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。
                       关键词:力学性能预测;磁各向异性;模型评估
                       中图分类号:TG115.28      文献标志码:A    文章编号:1000-6656(2024)07-0041-06

                               Analysis on influence of electromagnetic detection direction on

                                        mechanical property prediction of steel strip


                                         ZHOU Jun , SHI Yu , WANG Ping , TANG Chenglong 2
                                                                    1
                                                         1
                                                  1
                  (1. College of Automation Engineering,Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China;
               2. Intelligent Manufacturing Research Institute of Baosteel Central Research Institute, Baowu Group, Shanghai 201999, China)
                      Abstract:  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.
                      Key words: mechanical property prediction; magnetic anisotropy; model evaluation


                                                                     钢铁材料是国家建设的重要基础材料。现阶段,
                                                                市场不仅对钢铁材料的规模产量提出需求,更是对
                 收稿日期:2023-12-05
                                                                                        [1]
                 基金项目:国家自然科学基金(62073162)                        钢铁材料本身的力学性能 等诸多方面提出了较高
                 作者简介:周 军(1997—),男,硕士研究生,主要从事铁磁性材
                                                                的品质要求。在无损检测技术的发展历程中,多电
              料电磁无损检测相关研究工作
                                                                                          [2]
                 通信作者:周 军,zj18896659275@163.com                 磁方法融合的无损检测技术 受到了各界科研工作
                                                                                                          41
                                                                                         2024 年 第 46 卷 第 7 期
                                                                                                  无损检测
   74   75   76   77   78   79   80   81   82   83   84