{"title":"Air-coupled piezoelectric micromachined ultrasonic transducers for surface stain detection and imaging","authors":"Sheng Sun, Jianyuan Wang, Yuan Ning, Menglun Zhang","doi":"10.1063/10.0009632","DOIUrl":null,"url":null,"abstract":"This paper proposes an air-coupled piezoelectric micromachined ultrasonic transducer (PMUT) for detection and imaging of surface stains. A 508 kHz PMUT array is designed, fabricated, and characterized in terms of its electrical and acoustic properties, and it is used in a pulse echo validation test. Imaging of stains on metal blocks is successfully demonstrated. Compared with existing optical methods for stain detection, the proposed approach can work in a dark environment without color requirements. This work provides a new and promising route for the development of miniaturized stain detection systems.","PeriodicalId":35428,"journal":{"name":"Nami Jishu yu Jingmi Gongcheng/Nanotechnology and Precision Engineering","volume":null,"pages":null},"PeriodicalIF":3.5000,"publicationDate":"2022-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Nami Jishu yu Jingmi Gongcheng/Nanotechnology and Precision Engineering","FirstCategoryId":"1087","ListUrlMain":"https://doi.org/10.1063/10.0009632","RegionNum":3,"RegionCategory":"工程技术","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
This paper proposes an air-coupled piezoelectric micromachined ultrasonic transducer (PMUT) for detection and imaging of surface stains. A 508 kHz PMUT array is designed, fabricated, and characterized in terms of its electrical and acoustic properties, and it is used in a pulse echo validation test. Imaging of stains on metal blocks is successfully demonstrated. Compared with existing optical methods for stain detection, the proposed approach can work in a dark environment without color requirements. This work provides a new and promising route for the development of miniaturized stain detection systems.