用于DH590钢塑性变形和残余奥氏体表征的多维微磁参量综合评价指标
Comprehensive indicator of multi-dimensional micromagnetic parameters for evaluation of plastic deformation and residual austenite of DH590 steel
傅萍 1王钰珏 2何存富 2刘秀成 2张阳阳 3王林 4王贤贤1
作者信息
- 1. 北京工业大学机械与能源工程学院,北京 100124
- 2. 北京工业大学信息学部,北京 100124
- 3. 首都集团有限公司技术研究院薄板研究所,北京 100043
- 4. 北京工业大学机械与能源工程学院,北京 100124;首都集团有限公司技术研究院薄板研究所,北京 100043
- 折叠
摘要
研究利用微磁方法对DH590钢塑性变形量和残余奥氏体含量进行定量表征.利用微磁检测仪获取不同塑性变形量DH590钢的微磁信号,并提取微磁信号的磁参量.提出基于拟合优度、归一化灵敏度和相对误差的磁参量综合评价指标,分析磁参量对DH590钢塑性变形及残余奥氏体含量的表征能力.通过对比研究,利用双高斯函数拟合提取的磁巴克豪森噪声和增量磁导率信号双峰磁参量可同时表征塑性变形及残余奥氏体含量.本文研究方法可为不同双相钢的塑性变形量及残余奥氏体含量的定量表征提供参考.
Abstract
The micromagnetic method was used to quantitatively characterizes the plastic deformation and retained austenite of DH590 steel.The magnetic parameters utilized for the characterization of plastic deformation and residual austenite were extracted,particularly focusing on the distinctive double-peak characteristics observed in magnetic Barkhausen noise.By analyzing the variation coefficient of magnetic parameters,magnetic parameters with high consistency in repeated measurements were selected as candidate evaluation parameters,and a comprehensive indicator of magnetic parameters based on goodness of fit,normalized sensitivity and relative error was proposed to analyze the characterization ability of candidate magnetic parameters on the plastic deformation and residual austenite content in DH590 steel.Through comparative analysis,the double-peak magnetic parameters of magnetic Barkhausen noise and incremental permeability signals,extracted by fitting with a double-Gaussian function,could effectively characterize both plastic deformation and residual austenite content.This research methodology offered valuable insights for quantitatively characterizing plastic deformation and residual austenite content in ferromagnetic materials.
关键词
微磁检测/塑性变形量/残余奥氏体含量/综合评价指标Key words
micromagnetic testing/plastic deformation evaluation/residual austenite content evaluation/comprehensive indicator引用本文复制引用
基金项目
国家自然科学基金项目(12122201)
国家自然科学基金项目(62271015)
国家自然科学基金项目(12302237)
出版年
2024
NETL
NSTL
万方数据