In-process non-destructive evaluation of metal additive manufactured components at build using ultrasound and eddy-current approaches
Zimermann, Rastislav and Mohseni, Ehsan and Foster, Euan A. and Vasilev, Momchil and Loukas, Charalampos and Vithanage, Randika K.W. and Macleod, Charles N. and Lines, David and Silva, Misael Pimentel Espirindio E. and Fitzpatrick, Stephen and Halavage, Steven and McKegney, Scott and Rizwan, Muhammad Khalid and Pierce, Stephen Gareth and Williams, Stewart and Ding, Jialuo (2023) In-process non-destructive evaluation of metal additive manufactured components at build using ultrasound and eddy-current approaches. Journal of Manufacturing Processes, 107. pp. 549-558. ISSN 1526-6125 (https://doi.org/10.1016/j.jmapro.2023.10.063)
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Abstract
Metal additive manufacturing is rapidly gaining popularity and interest from sectors aiming to produce larger-scale high-value components cost-effectively. To ensure each component is leaving the fabrication cell defect-free, it is highly desirable to inspect each layer or selected volume of the build. This is a significant challenge, given that conventional non-destructive evaluation (NDE) is a post-manufacturing operation. The opportunity exists in the development of novel flexible automated manufacturing systems aiming to merge deposition and inspection. Hence, enabling defect detection at the point of the creation allows subsequent rapid repair or reduction in scrappage. In this work, the authors present research from one such multi-robot cell, where a directed energy deposition process called wire + arc additive manufacture is used to build components while novel in-process ultrasound and eddy-current approaches are deployed to inspect a component with artificially embedded reflectors. The outcome of this work demonstrates a promising ability to merge manufacturing and NDE into a single process and hence, strengthen the overall benefits of metal additive manufacturing fields.
ORCID iDs
Zimermann, Rastislav, Mohseni, Ehsan ORCID: https://orcid.org/0000-0002-0819-6592, Foster, Euan A., Vasilev, Momchil, Loukas, Charalampos ORCID: https://orcid.org/0000-0002-3465-8076, Vithanage, Randika K.W. ORCID: https://orcid.org/0000-0002-1023-2564, Macleod, Charles N. ORCID: https://orcid.org/0000-0003-4364-9769, Lines, David ORCID: https://orcid.org/0000-0001-8538-2914, Silva, Misael Pimentel Espirindio E. ORCID: https://orcid.org/0000-0001-5927-643X, Fitzpatrick, Stephen ORCID: https://orcid.org/0000-0002-3669-3262, Halavage, Steven, McKegney, Scott, Rizwan, Muhammad Khalid, Pierce, Stephen Gareth ORCID: https://orcid.org/0000-0003-0312-8766, Williams, Stewart and Ding, Jialuo;-
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Item type: Article ID code: 87260 Dates: DateEvent1 December 2023Published3 November 2023Published Online25 October 2023Accepted28 August 2023SubmittedSubjects: Technology > Manufactures Department: Faculty of Engineering > Electronic and Electrical Engineering
Strategic Research Themes > Advanced Manufacturing and Materials
Faculty of Engineering > Design, Manufacture and Engineering Management > National Manufacturing Institute Scotland
Technology and Innovation Centre > Sensors and Asset ManagementDepositing user: Pure Administrator Date deposited: 09 Nov 2023 12:03 Last modified: 16 Dec 2024 02:45 URI: https://strathprints.strath.ac.uk/id/eprint/87260