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基于MBN的酸洗钢再结晶率和屈服强度表征研究

连承拯 王平

机械制造与自动化2026,Vol.55Issue(2):36-39,4.
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机械制造与自动化2026,Vol.55Issue(2):36-39,4.DOI:10.19344/j.cnki.issn1671-5276.2026.02.007

基于MBN的酸洗钢再结晶率和屈服强度表征研究

Characterization Reserch of Recrystallization Rate and Yield Strength of Pickling Steel Based on MBN

连承拯 1王平1

作者信息

  • 1. 南京航空航天大学自动化学院,江苏南京 210016
  • 折叠

摘要

Abstract

Microstructure and yield strength,the important quality inspection indexes of pickling steel materials,are generally determined by destructive tests in industry.Magnetic Barkhausen noise detection technology can reflect the electromagnetic properties of ferromagnetic materials,while the microstructure(such as recrystallization rate,grain size and dislocation density,etc.)determines the electromagnetic properties of materials.This study carries out electromagnetic non-destructive testing of pickling steel samples in a steel plant by magnetic Barkhausen technology.By improving the Barkhausen detection system and combining with BP neural network,the recrystallization degree and yield strength of pickling steel materials are characterized.

关键词

磁巴克豪森噪声/微观组织结构/再结晶/屈服强度

Key words

magnetic Barkhausen noise/microstructure/recrystallization/yield strength

分类

通用工业技术

引用本文复制引用

连承拯,王平..基于MBN的酸洗钢再结晶率和屈服强度表征研究[J].机械制造与自动化,2026,55(2):36-39,4.

基金项目

国家重点研发计划项目(2022YFC3005000) (2022YFC3005000)

江苏省重点研发计划项目(BE2021621) (BE2021621)

机械制造与自动化

1671-5276

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