Electromagnetic Acoustic Transducer for Detection and Characterization of Hidden Cracks inside Stainless Steel Material

IF 0.6 4区计算机科学 Q4 ENGINEERING, ELECTRICAL & ELECTRONIC

Applied Computational Electromagnetics Society Journal Pub Date : 2021-01-01 DOI:10.47037/2021.aces.j.360818

H. Boughedda, T. Hacib, Y. Bihan, M. Chelabi, H. Acikgoz

{"title":"Electromagnetic Acoustic Transducer for Detection and Characterization of Hidden Cracks inside Stainless Steel Material","authors":"H. Boughedda, T. Hacib, Y. Bihan, M. Chelabi, H. Acikgoz","doi":"10.47037/2021.aces.j.360818","DOIUrl":null,"url":null,"abstract":"─ Industrial structure are exposed to microstructural changes caused by fatigue cracking, corrosion and thermal aging. Generally, a hidden crack is very dangerous because it is difficult to detect by NonDestructive Evaluation (NDE) techniques. This paper presents a new approach to estimate the hidden cracks dimensions inside a stainless steel plate based on the EMAT signal. The received signal by EMAT is simulated using the Finite Element Method (FEM). Then, the identification of the hidden crack sizes is performed via the combination of two techniques; the first one is the Time-of-Flight (ToF) technique which was applied to estimate the crack height by the evaluation of the difference between the ToF of the healthy form and the defective form. Then, the crack width is estimated by the solution of the inverse problem from the received signal based on a meta-heuristic algorithm called Teaching learning Based optimization (TLBO). The obtained results illustrate the sensitivity of the EMAT sensor to the variation of the crack sizes. Moreover, the quantitative evaluation of the cracks dimensions, show clearly the efficiency and reliability of the adopted approache. Index Terms ─ Characterization of hidden cracks, FEM, NDE, Time-of-Flight, TLBO algorithm.","PeriodicalId":8207,"journal":{"name":"Applied Computational Electromagnetics Society Journal","volume":"23 1","pages":""},"PeriodicalIF":0.6000,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Applied Computational Electromagnetics Society Journal","FirstCategoryId":"94","ListUrlMain":"https://doi.org/10.47037/2021.aces.j.360818","RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}

引用次数: 0

Abstract

─ Industrial structure are exposed to microstructural changes caused by fatigue cracking, corrosion and thermal aging. Generally, a hidden crack is very dangerous because it is difficult to detect by NonDestructive Evaluation (NDE) techniques. This paper presents a new approach to estimate the hidden cracks dimensions inside a stainless steel plate based on the EMAT signal. The received signal by EMAT is simulated using the Finite Element Method (FEM). Then, the identification of the hidden crack sizes is performed via the combination of two techniques; the first one is the Time-of-Flight (ToF) technique which was applied to estimate the crack height by the evaluation of the difference between the ToF of the healthy form and the defective form. Then, the crack width is estimated by the solution of the inverse problem from the received signal based on a meta-heuristic algorithm called Teaching learning Based optimization (TLBO). The obtained results illustrate the sensitivity of the EMAT sensor to the variation of the crack sizes. Moreover, the quantitative evaluation of the cracks dimensions, show clearly the efficiency and reliability of the adopted approache. Index Terms ─ Characterization of hidden cracks, FEM, NDE, Time-of-Flight, TLBO algorithm.

查看原文本刊更多论文

不锈钢材料内隐裂纹的电磁声换能器检测与表征

─工业结构暴露在疲劳开裂、腐蚀和热老化引起的微观组织变化中。一般来说，隐性裂缝是非常危险的，因为它很难通过无损检测技术检测出来。提出了一种基于EMAT信号估计不锈钢板内部隐裂纹尺寸的新方法。利用有限元法对EMAT接收的信号进行了仿真。然后，结合两种方法进行隐裂纹尺寸的识别;第一类是利用飞行时间(ToF)技术，通过评估健康形态和缺陷形态的飞行时间差来估计裂纹高度。然后，基于基于教学的优化(TLBO)元启发式算法，根据接收信号求解逆问题估计裂缝宽度。所得结果说明了EMAT传感器对裂纹尺寸变化的敏感性。通过对裂纹尺寸的定量评价，验证了该方法的有效性和可靠性。索引项─隐裂纹表征、有限元法、无损检验、飞行时间、TLBO算法。

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

Applied Computational Electromagnetics Society Journal 工程技术-电信学

CiteScore

1.60

自引率

28.60%

发文量

审稿时长

9 months

期刊介绍： The ACES Journal is devoted to the exchange of information in computational electromagnetics, to the advancement of the state of the art, and to the promotion of related technical activities. A primary objective of the information exchange is the elimination of the need to "re-invent the wheel" to solve a previously solved computational problem in electrical engineering, physics, or related fields of study. The ACES Journal welcomes original, previously unpublished papers, relating to applied computational electromagnetics. All papers are refereed. A unique feature of ACES Journal is the publication of unsuccessful efforts in applied computational electromagnetics. Publication of such material provides a means to discuss problem areas in electromagnetic modeling. Manuscripts representing an unsuccessful application or negative result in computational electromagnetics is considered for publication only if a reasonable expectation of success (and a reasonable effort) are reflected. The technical activities promoted by this publication include code validation, performance analysis, and input/output standardization; code or technique optimization and error minimization; innovations in solution technique or in data input/output; identification of new applications for electromagnetics modeling codes and techniques; integration of computational electromagnetics techniques with new computer architectures; and correlation of computational parameters with physical mechanisms.