{"title":"Acoustic-Based In-Situ Monitoring of Additive Manufacturing Fabrication: A Review","authors":"O. Fatoba, T. Jen","doi":"10.1109/ICMIMT59138.2023.10200667","DOIUrl":null,"url":null,"abstract":"In-situ monitoring involves assessing the state of an additively built item while it is being used to look for cracks or pores. The capacity to monitor and regulate the additive manufacturing (AM) process in real-time for in-process measurements determines the quality of the finished products. The manufacturing sector has not yet experienced a significant amount of AM’s effects. This is because there are a number of technological obstacles to be solved first, such as a lack of process comprehension and in-situ process monitoring and control, particularly in metal AM systems. Since they can have a significant impact on the printed microstructure and the functionality of subsequent products, AM processing parameters can be challenging to fine-tune. Building a process-structure-property-performance (PSPP) relationship for AM using conventional numerical and analytical models is a challenging task. Using acoustic emission (AE), it may be possible to identify and correct major flaws in additively manufactured parts before they cause further damage. This could reduce material waste, improve quality, and reduce the need for repair or rework.","PeriodicalId":286146,"journal":{"name":"2023 14th International Conference on Mechanical and Intelligent Manufacturing Technologies (ICMIMT)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 14th International Conference on Mechanical and Intelligent Manufacturing Technologies (ICMIMT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICMIMT59138.2023.10200667","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
In-situ monitoring involves assessing the state of an additively built item while it is being used to look for cracks or pores. The capacity to monitor and regulate the additive manufacturing (AM) process in real-time for in-process measurements determines the quality of the finished products. The manufacturing sector has not yet experienced a significant amount of AM’s effects. This is because there are a number of technological obstacles to be solved first, such as a lack of process comprehension and in-situ process monitoring and control, particularly in metal AM systems. Since they can have a significant impact on the printed microstructure and the functionality of subsequent products, AM processing parameters can be challenging to fine-tune. Building a process-structure-property-performance (PSPP) relationship for AM using conventional numerical and analytical models is a challenging task. Using acoustic emission (AE), it may be possible to identify and correct major flaws in additively manufactured parts before they cause further damage. This could reduce material waste, improve quality, and reduce the need for repair or rework.