Research on Vertical Crack Detection Method with Multi-Mode TFM

Lan Liu, Lin Luo, Xiaorong Gao, Jianping Peng, Chaoyong Peng, Ruyu Ma
{"title":"Research on Vertical Crack Detection Method with Multi-Mode TFM","authors":"Lan Liu, Lin Luo, Xiaorong Gao, Jianping Peng, Chaoyong Peng, Ruyu Ma","doi":"10.1109/FENDT54151.2021.9749650","DOIUrl":null,"url":null,"abstract":"Total Focusing Method (TFM) is an advanced ultrasound array data post-processing imaging algorithm, which shows great potential in defect detection and characterization. By changing the path of the focused sound beam, defects can be detected in multiple directions. In this paper, a variety of full-focus simulations and experiments of sound beam path focusing are carried out for the more harmful vertical cracks, and the detection and evaluation are conducted. The following results are obtained: The Direct Mode can perform fixed-length detection of the lower surface cracks, but can't be shaped; The Half-Wave Mode can not only fix the length of the bottom surface cracks, but also fix the shape; The Full-Wave Mode can only fix the length detection of the upper surface cracks; The Full-Wave + Mode can not only fix the length but also shape the detection of the upper surface cracks. The research results show that when detecting defects, for detecting vertical cracks at different positions, choosing an appropriate mode will be more beneficial to the detectable rate and quantitative evaluation of defects.","PeriodicalId":425658,"journal":{"name":"2021 IEEE Far East NDT New Technology & Application Forum (FENDT)","volume":"132 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 IEEE Far East NDT New Technology & Application Forum (FENDT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/FENDT54151.2021.9749650","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Total Focusing Method (TFM) is an advanced ultrasound array data post-processing imaging algorithm, which shows great potential in defect detection and characterization. By changing the path of the focused sound beam, defects can be detected in multiple directions. In this paper, a variety of full-focus simulations and experiments of sound beam path focusing are carried out for the more harmful vertical cracks, and the detection and evaluation are conducted. The following results are obtained: The Direct Mode can perform fixed-length detection of the lower surface cracks, but can't be shaped; The Half-Wave Mode can not only fix the length of the bottom surface cracks, but also fix the shape; The Full-Wave Mode can only fix the length detection of the upper surface cracks; The Full-Wave + Mode can not only fix the length but also shape the detection of the upper surface cracks. The research results show that when detecting defects, for detecting vertical cracks at different positions, choosing an appropriate mode will be more beneficial to the detectable rate and quantitative evaluation of defects.
基于多模态TFM的垂直裂纹检测方法研究
全聚焦法(TFM)是一种先进的超声阵列数据后处理成像算法,在缺陷检测和表征方面显示出巨大的潜力。通过改变聚焦声束的路径,可以从多个方向检测缺陷。本文针对危害较大的垂直裂纹进行了各种全焦点模拟和声波束路径聚焦实验,并进行了检测和评价。结果表明:直接模态法可以对下表面裂纹进行定长检测,但不能对下表面裂纹进行成形检测;半波模式不仅可以固定底面裂缝的长度,而且可以固定形状;全波模式只能固定上表面裂纹的长度检测;全波+模式不仅可以固定长度,而且可以塑造上表面裂纹的检测。研究结果表明,在检测缺陷时,对于检测不同位置的垂直裂纹,选择合适的模式将更有利于缺陷的检出率和定量评价。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信