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On Estimation of Sound Velocity and Attenuation in Common 3D-Printing Filaments
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
2022 (English)In: 2022 IEEE International Ultrasonics Symposium (IUS), IEEE, 2022Conference paper, Published paper (Refereed)
Abstract [en]

Estimation of frequency-dependent attenuation and speed of sound using ultrasound is of great importance. The acoustic properties can be used for material characterization and to study the local variations in a solid. As ultrasound is a mechanical wave, it is directly sensitive to changes in the material properties. The layered nature of additively manufactured prod-ucts pose a challenge for the estimation of acoustic properties. The non-parametric approaches using frequency transforms are sensitive to noise. In this paper, a parametric model is used to estimate the phase velocity and attenuation of 3D-printed cubes. The received signal from the cubes is a superposition of the backscattered responses from multiple layers of the printed part. A reference echo from aluminium is used as an input to the linear model and to estimate the received ultrasound response. The estimate of the ultrasound signal using the linear model is similar to the measured data and it suggests that it can be used to estimate wave propagation in additively manufactured products. The estimated acoustic properties show an increasing trend with the frequency and dispersion can be seen due to the layered nature of the material.

Place, publisher, year, edition, pages
IEEE, 2022.
Series
IEEE International Ultrasonics Symposium, ISSN 1948-5719, E-ISSN 1948-5727
Keywords [en]
3D-printing, signal processing, Phase velocity, Attenuation
National Category
Signal Processing Other Materials Engineering
Research subject
Signal Processing; Engineering Materials
Identifiers
URN: urn:nbn:se:ltu:diva-94162DOI: 10.1109/IUS54386.2022.9958029ISI: 000896080400290Scopus ID: 2-s2.0-85143826678ISBN: 978-1-6654-6657-8 (electronic)OAI: oai:DiVA.org:ltu-94162DiVA, id: diva2:1712069
Conference
2022 IEEE International Ultrasonics Symposium (IUS), Venice, Italy, 10-13 October, 2022
Available from: 2022-11-20 Created: 2022-11-20 Last updated: 2023-12-01Bibliographically approved

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Zia, ShafaqCarlson, Johan E.Åkerfeldt, Pia

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