Jae-Hyeong Yu, Jung-Sik Yoon, In-Gyu Choi, John S. Kang, Wanjin Chung, Chang-Whan Lee
{"title":"Analysis and Clustering of Acoustic Emission Signals in the Tensile Deformation of AZ31B","authors":"Jae-Hyeong Yu, Jung-Sik Yoon, In-Gyu Choi, John S. Kang, Wanjin Chung, Chang-Whan Lee","doi":"10.1007/s12540-024-01771-0","DOIUrl":null,"url":null,"abstract":"<div><p>The application of acoustic emission (AE) has applied to detect the yield and fracture of materials. In this study, the deformation characteristics of the magnesium alloy (AZ31B-H24) were characterized during tensile testing using AE signals. First, the AE signals of AZ31B-H24 sheets with thicknesses of 1 and 3 mm were investigated during tensile deformation. Numerous AE signals were generated during yielding and fracture, and their signal characteristics were analyzed. The signals for yield deformation and fracture deformation were observed to differ. The duration of the yield signal was longer than that of the fracture signal, and the energy of the yield signal was lower than that of the fracture signal. Based on these characteristics, the AE signals were categorized using the clustering method, an unsupervised learning algorithm, into four categories: Cluster 1 comprises the AE data obtained at the yield point of the magnesium alloy plate. Clusters 2 and 3 comprise those obtained in the stages from work hardening to failure. Finally, Cluster 4 comprises those obtained during the fracture point. The average value of each AE parameter was obtained. In the frequency domain, the peak frequency of the yield signal was higher than that of the fracture signal. The energy and amplitude of the signal were the highest in the fracture.</p><h3>Graphical Abstract</h3>\n<div><figure><div><div><picture><source><img></source></picture></div></div></figure></div></div>","PeriodicalId":703,"journal":{"name":"Metals and Materials International","volume":"31 3","pages":"676 - 691"},"PeriodicalIF":3.3000,"publicationDate":"2024-08-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Metals and Materials International","FirstCategoryId":"88","ListUrlMain":"https://link.springer.com/article/10.1007/s12540-024-01771-0","RegionNum":3,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"MATERIALS SCIENCE, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0
Abstract
The application of acoustic emission (AE) has applied to detect the yield and fracture of materials. In this study, the deformation characteristics of the magnesium alloy (AZ31B-H24) were characterized during tensile testing using AE signals. First, the AE signals of AZ31B-H24 sheets with thicknesses of 1 and 3 mm were investigated during tensile deformation. Numerous AE signals were generated during yielding and fracture, and their signal characteristics were analyzed. The signals for yield deformation and fracture deformation were observed to differ. The duration of the yield signal was longer than that of the fracture signal, and the energy of the yield signal was lower than that of the fracture signal. Based on these characteristics, the AE signals were categorized using the clustering method, an unsupervised learning algorithm, into four categories: Cluster 1 comprises the AE data obtained at the yield point of the magnesium alloy plate. Clusters 2 and 3 comprise those obtained in the stages from work hardening to failure. Finally, Cluster 4 comprises those obtained during the fracture point. The average value of each AE parameter was obtained. In the frequency domain, the peak frequency of the yield signal was higher than that of the fracture signal. The energy and amplitude of the signal were the highest in the fracture.
期刊介绍:
Metals and Materials International publishes original papers and occasional critical reviews on all aspects of research and technology in materials engineering: physical metallurgy, materials science, and processing of metals and other materials. Emphasis is placed on those aspects of the science of materials that are concerned with the relationships among the processing, structure and properties (mechanical, chemical, electrical, electrochemical, magnetic and optical) of materials. Aspects of processing include the melting, casting, and fabrication with the thermodynamics, kinetics and modeling.