{"title":"Quantitative Detection of Rail Head Oblique Cracks by Laser Ultrasonic Surface Wave","authors":"Yi Jiang, Rongyao Wang, Lei Han, Zhaoxin Wang","doi":"10.1134/S1061830923600740","DOIUrl":null,"url":null,"abstract":"<p>Fatigue oblique cracks are the most common type of surface damage on steel rails, although they are microscopic and difficult to detect. Rail crack can occur as the crack length increases. This paper presents a method for detecting laser ultrasonic surface waves that is fully non-contact and unaffected by complicated surfaces. To solve the difficulties of low photoacoustic conversion efficiency and poor imaging impact of laser ultrasound, a solution combining particle swarm optimization (PSO) based VMD parameter optimization algorithm with Sobel image edge processing algorithm is presented. This enhances the signal-to-noise ratio (SNR) and image accuracy while also allowing for the quantitative identification of oblique fissures of varying lengths. The highest quantitative error is less than 4%, and the smallest quantitative error is 1.4%.</p>","PeriodicalId":764,"journal":{"name":"Russian Journal of Nondestructive Testing","volume":null,"pages":null},"PeriodicalIF":0.9000,"publicationDate":"2024-01-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Russian Journal of Nondestructive Testing","FirstCategoryId":"88","ListUrlMain":"https://link.springer.com/article/10.1134/S1061830923600740","RegionNum":4,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"MATERIALS SCIENCE, CHARACTERIZATION & TESTING","Score":null,"Total":0}
引用次数: 0
Abstract
Fatigue oblique cracks are the most common type of surface damage on steel rails, although they are microscopic and difficult to detect. Rail crack can occur as the crack length increases. This paper presents a method for detecting laser ultrasonic surface waves that is fully non-contact and unaffected by complicated surfaces. To solve the difficulties of low photoacoustic conversion efficiency and poor imaging impact of laser ultrasound, a solution combining particle swarm optimization (PSO) based VMD parameter optimization algorithm with Sobel image edge processing algorithm is presented. This enhances the signal-to-noise ratio (SNR) and image accuracy while also allowing for the quantitative identification of oblique fissures of varying lengths. The highest quantitative error is less than 4%, and the smallest quantitative error is 1.4%.
期刊介绍：
Russian Journal of Nondestructive Testing, a translation of Defectoskopiya, is a publication of the Russian Academy of Sciences. This publication offers current Russian research on the theory and technology of nondestructive testing of materials and components. It describes laboratory and industrial investigations of devices and instrumentation and provides reviews of new equipment developed for series manufacture. Articles cover all physical methods of nondestructive testing, including magnetic and electrical; ultrasonic; X-ray and Y-ray; capillary; liquid (color luminescence), and radio (for materials of low conductivity).
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