{"title":"Automated ultrasonic testing for 3D laser-rapid prototyping blisk blades","authors":"D. Guo, Guojun Jiang, Xinbo Lin, Yue Wu","doi":"10.1109/ICMAE.2016.7549537","DOIUrl":null,"url":null,"abstract":"3D Laser-rapid Prototyping blisk blades could have more defects, like slag inclusions, cracks and incomplete fusions, than ones made by traditional machining. Therefore, a six-axis automated ultrasonic testing system (AUTS) was developed for 3D laser-rapid prototyping blisk blades in this paper. The applied technology is mainly about B-spline surface reconstruction from CAD, scan path planning based on B-spline surface and adaptive defect gating. In experiments conducted on blades with the system, defects could be clearly identified on generated 3D C-Scan images.","PeriodicalId":371629,"journal":{"name":"2016 7th International Conference on Mechanical and Aerospace Engineering (ICMAE)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 7th International Conference on Mechanical and Aerospace Engineering (ICMAE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICMAE.2016.7549537","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
3D Laser-rapid Prototyping blisk blades could have more defects, like slag inclusions, cracks and incomplete fusions, than ones made by traditional machining. Therefore, a six-axis automated ultrasonic testing system (AUTS) was developed for 3D laser-rapid prototyping blisk blades in this paper. The applied technology is mainly about B-spline surface reconstruction from CAD, scan path planning based on B-spline surface and adaptive defect gating. In experiments conducted on blades with the system, defects could be clearly identified on generated 3D C-Scan images.