基于三维元胞和多频电磁传感器有限元模型的双相不锈钢电磁响应研究

肖帅帅; 申嘉龙; 赵家宁; 方洁; 梁才玉; 周磊

doi:10.1007/s12613-024-2894-8

Volume 31 Issue 12

Dec. 2024

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文章导航 > 矿物冶金与材料学报（英文） > 2024 > 31(12): 2681-2691

Shuaishuai Xiao, Jialong Shen, Jianing Zhao, Jie Fang, Caiyu Liang, and Lei Zhou, Electromagnetic responses on microstructures of duplex stainless steels based on 3D cellular and electromagnetic sensor finite element models, Int. J. Miner. Metall. Mater., 31(2024), No. 12, pp. 2681-2691. https://doi.org/10.1007/s12613-024-2894-8

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Shuaishuai Xiao, Jialong Shen, Jianing Zhao, Jie Fang, Caiyu Liang, and Lei Zhou, Electromagnetic responses on microstructures of duplex stainless steels based on 3D cellular and electromagnetic sensor finite element models, Int. J. Miner. Metall. Mater., 31(2024), No. 12, pp. 2681-2691. https://doi.org/10.1007/s12613-024-2894-8

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研究论文

基于三维元胞和多频电磁传感器有限元模型的双相不锈钢电磁响应研究

1)
桂林理工大学有色金属及材料加工新技术教育部重点实验室, 桂林 541004, 中国
2)
桂林理工大学广西有色金属矿产勘查与资源高效利用协同创新中心, 桂林 541004, 中国
3)
Advanced Manufacturing and Materials Centre, Warwick Manufacturing Group (WMG), University of Warwick, Coventry CV4 7AL, UK

通讯作者:
申嘉龙 E-mail: Jialong.Shen@glut.edu.cn

文章亮点

(1) 提出了一种计算三维双相不锈钢微观结构有限元模型相对磁导率的方法

(2) 构建了多频电磁传感器模型，通过相对磁导率建立微观组织参数和电磁传感器输出之间的映射关系

(3) 提取多频电磁传感器的低频电感作为区分不同钢铁微观结构的特征参数

中文摘要

生产过程中对钢铁材料微观结构实时在线检测是保证产品质量、提高产品性能的关键。但目前缺少应用于钢铁生产检测的高精度，快响应的在线检测方法。多频电磁传感器检测技术能利用电磁场与铁磁性材料之间的电磁感应来识别和表征材料微观结构，获取材料内部微观结构特征和宏观性质信息。本文从研究多频电磁传感器对钢铁微观组织的表征技术出发，通过建立三维钢铁微观结构模型和宏观电磁传感器模型，探究钢铁微观组织与电磁传感器输出之间的关系。本文提出一种计算双相不锈钢微观结构有限元模型相对磁导率的方法，通过电磁感应云图分析了不同晶粒、相、晶界等内部结构在磁场作用下的行为，并通过相对磁导率建立微观组织参数和电磁传感器输出之间的定量关系。构建了三维宏观多频电磁传感器模型，将不同微观结构模型计算出的相对磁导率赋值给多频电磁传感器的检测试样，得到不同微观结构模型的多频电磁响应，将钢铁微观结构的参数与电磁传感器输出电感建立映射关系。提取多频电磁传感器的低频电感作为区分不同钢铁微观结构的特征参数。发现在10 Hz频率时或者相对较低频率时，晶粒尺寸对传感器输出电感影响最小，相位分布对传感器输出电感的影响次之，相分数对传感器输出电感的影响最大。

关键词:

Research Article

Electromagnetic responses on microstructures of duplex stainless steels based on 3D cellular and electromagnetic sensor finite element models

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Abstract

Abstract

Microstructures determine mechanical properties of steels, but in actual steel product process it is difficult to accurately control the microstructure to meet the requirements. General microstructure characterization methods are time consuming and results are not representative for overall quality level as only a fraction of steel sample was selected to be examined. In this paper, a macro and micro coupled 3D model was developed for nondestructively characterization of steel microstructures. For electromagnetic signals analysis, the relative permeability value computed by the micro cellular model can be used in the macro electromagnetic sensor model. The effects of different microstructure components on the relative permeability of duplex stainless steel (grain size, phase fraction, and phase distribution) were discussed. The output inductance of an electromagnetic sensor was determined by relative permeability values and can be validated experimentally. The findings indicate that the inductance value of an electromagnetic sensor at low frequency can distinguish different microstructures. This method can be applied to real-time on-line characterize steel microstructures in process of steel rolling.
- microstructure;
- electromagnetic sensor;
- finite element;
- duplex stainless steel

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