Lijun Ma, Juncen Wu, Yu Liu, Shijian Zhou, Xiongbing Li
{"title":"Sparse Optimal Design of Ultrasonic Phased Array for Efficient DMAS Imaging","authors":"Lijun Ma, Juncen Wu, Yu Liu, Shijian Zhou, Xiongbing Li","doi":"10.1134/S1061830924602083","DOIUrl":null,"url":null,"abstract":"<p>Enhancing imaging performance is one of long-term goals pursued by ultrasonic phased array in the field of nondestructive testing. However, the computational complexity will grow when the imaging methods are improved. In this work, delay-multiply-and-sum (DMAS) is combined with sparse array technique to achieve better imaging performance and maintain the almost same computational cost as sparse total focus method (TFM) needs. Comparison analysis is conducted on the beam pattern and imaging metrics, and the result indicates that sparse DMAS works better over sparse TFM at the same level of imaging time.</p>","PeriodicalId":764,"journal":{"name":"Russian Journal of Nondestructive Testing","volume":"60 8","pages":"868 - 878"},"PeriodicalIF":0.9000,"publicationDate":"2024-11-18","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/S1061830924602083","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
Enhancing imaging performance is one of long-term goals pursued by ultrasonic phased array in the field of nondestructive testing. However, the computational complexity will grow when the imaging methods are improved. In this work, delay-multiply-and-sum (DMAS) is combined with sparse array technique to achieve better imaging performance and maintain the almost same computational cost as sparse total focus method (TFM) needs. Comparison analysis is conducted on the beam pattern and imaging metrics, and the result indicates that sparse DMAS works better over sparse TFM at the same level of imaging time.
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).