文章摘要
王雪琴,邱 枫,彭宁伟,姚俊宇,张 颖.基于声发射统计信息的2.25Cr-1Mo钢早期损伤判别方法*[J].,2023,42(1):159-165
基于声发射统计信息的2.25Cr-1Mo钢早期损伤判别方法*
Early damage identification method of 2.25Cr-1Mo steel based on acoustic emission statistics
投稿时间:2021-11-14  修订日期:2022-12-27
中文摘要:
      裂纹开裂是金属材料常见的损伤失效形式之一,而材料失效会经历从早期微小损伤到宏观变形的微观组织动态演化过程,如何在材料发生宏观变形之前,能够及早地发现损伤至关重要。本文基于对材料损伤失效过程不同声源的机理分析,提出了以不同声源信号数的统计占比值K这一变量来判定表征材料早期损伤阶段的判别指标,制备6个含不同缺陷的不带堆焊层和带堆焊层的2.25Cr-1Mo钢试件,采用声发射技术对试件的弯曲损伤全过程进行在线测试,获得了6个试件早期损伤阶段的声学数据,通过对比分析以幅值和能量为主的单一参量以及基于SVM的多元参量K值的统计结果,证明了利用K值可以有效地对不带堆焊层和带堆焊层的2.25Cr-1Mo钢试件的早期损伤阶段进行判别,其中不带堆焊层试件的K值范围为1:3.1~1:3.6之间,带堆焊层试件的K值范围为1:2.2~1:2.6之间,具有明显的区分度。
英文摘要:
      Crack cracking is one of the common damage failure forms of metal materials, and material failure will experience the dynamic evolution process of microstructure from early micro damage to macro deformation. How to find the damage as soon as possible before the macro deformation of materials is very important. Based on the mechanism analysis of different sound sources in the process of material damage and failure, this paper puts forward the variable of the statistical ratio K of different sound source signals to determine the discrimination index characterizing the early damage stage of materials. Six 2.25Cr-1Mo steel specimens without surfacing layer and with surfacing layer with different defects are prepared, and the whole bending damage process of the specimens is tested online by acoustic emission technology, The acoustic data of six specimens in the early damage stage are obtained. By comparing and analyzing the statistical results of single parameter dominated by amplitude and energy and multivariate parameter K based on SVM, it is proved that K value can effectively distinguish the early damage stage of 2.25Cr-1Mo steel specimens without surfacing layer and with surfacing layer, The K value range of specimens without surfacing layer is 1:3.1 ~ 1:3.6, and the K value range of specimens with surfacing layer is 1:2.2 ~ 1:2.6.
DOI:10.11684/j.issn.1000-310X.2023.01.021
中文关键词: 2.25Cr-1Mo钢  弯曲过程  声发射技术  早期损伤  多元统计  判别方法
英文关键词: 2.25Cr-1Mo steel  bending process  acoustic emission technology  early injury  multivariate statistics  discrimination method
基金项目:中国石油化工股份有限公司科技攻关项目(320108);江苏省市场监督管理局科技计划项目(KJ207515);江苏省研究生科研与实践创新计划项目(KYCX20_2586)
作者单位E-mail
王雪琴 常州大学 2560531481@qq.com 
邱 枫 中国石化青岛安全工程研究院  
彭宁伟 常州大学安全科学与工程学院  
姚俊宇 常州大学安全科学与工程学院  
张 颖* 常州大学安全科学与工程学院 aezy163@163.com 
摘要点击次数: 347
全文下载次数: 312
查看全文   查看/发表评论  下载PDF阅读器
关闭