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Optimization of an Additive Manufacturing Process Using Ultrasound
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Signals and Systems.ORCID iD: 0000-0002-9859-8586
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Signals and Systems.ORCID iD: 0000-0002-6216-6132
Luleå University of Technology, Department of Engineering Sciences and Mathematics, Material Science.ORCID iD: 0000-0001-5921-1935
2024 (English)In: 2024 IEEE Ultrasonics, Ferroelectrics, and Frequency Control Joint Symposium (UFFC-JS), IEEE, 2024Conference paper, Published paper (Refereed)
Abstract [en]

Additive Manufacturing is used for printing parts with high precision and complex geometries, but achieving consistent material properties and avoiding defects is a challenge. This paper presents the use of ultrasound technology as a non-destructive method to optimize the additive manufacturing process. A factorial design is used to print 18 samples using the key process parameters such as Power, Speed, and Hatch Distance. The ultrasound measurements are carried out using a 7.5 MHz focused transducer to capture within-sample variation. The manufacturing parameters and ultrasound variation metric is converted to a response surface model which is then used to identify optimal manufacturing conditions that can help minimize process induced variation and get a consistent microstructure and achieve consistent mechanical properties.

Place, publisher, year, edition, pages
IEEE, 2024.
Keywords [en]
Additive manufacturing, ultrasound, process optimization
National Category
Computer Sciences Materials Engineering
Research subject
Signal Processing; Engineering Materials
Identifiers
URN: urn:nbn:se:ltu:diva-111628DOI: 10.1109/UFFC-JS60046.2024.10793559ISI: 001428150100072Scopus ID: 2-s2.0-85216459967OAI: oai:DiVA.org:ltu-111628DiVA, id: diva2:1943539
Conference
2024 IEEE Ultrasonics, Ferroelectrics, and Frequency Control Joint Symposium, Taipei, Taiwan, September 22-26, 2024
Note

ISBN for host publication: 979-8-3503-7190-1

Available from: 2025-03-11 Created: 2025-03-11 Last updated: 2025-10-21Bibliographically approved

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Zia, ShafaqCarlson, Johan E.Åkerfeldt, Pia

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