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Acoustic Material Characterization of Additively Manufactured Components

Claes, Leander ; Jäger, Axel ; Johannesmann, Sarah ; Webersen, Manuel ; Kupnik, Mario ; Henning, Bernd (2024)
Acoustic Material Characterization of Additively Manufactured Components.
18th International Conference on Sensors and Measurement Technology (SENSOR 2017). Nürnberg, Germany (30.05.2017 - 01.06.2017)
doi: 10.26083/tuprints-00028153
Konferenzveröffentlichung, Zweitveröffentlichung, Verlagsversion

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Kurzbeschreibung (Abstract)

Additively manufactured or 3d printed components are commonly used for rapid prototyping or small series production purposes. Their mechanical properties, especially in the acoustic regime, are sparsely researched as of now. Therefore, we present a non-destructive measurement procedure to characterize the properties of additively manufactured components. We manufacture 3mm thick plates by fused deposition modeling of polylactic acid (PLA). Using focused laser radiation, broadband ultrasonic Lambwaves are excited in the plates via the photoacoustic effect. These waves are detected using a purposebuilt ultrasonic transducer for plate waves. The measurement signals processed are compared to the output of a plate waveguide model. In an inverse procedure, the material parameters of the model are optimized to yield estimates for the material properties of the sample. Using this approach, we analyze the influence of printing process parameters on the mechanic and acoustic properties of the manufactured specimens.

Typ des Eintrags: Konferenzveröffentlichung
Erschienen: 2024
Autor(en): Claes, Leander ; Jäger, Axel ; Johannesmann, Sarah ; Webersen, Manuel ; Kupnik, Mario ; Henning, Bernd
Art des Eintrags: Zweitveröffentlichung
Titel: Acoustic Material Characterization of Additively Manufactured Components
Sprache: Englisch
Publikationsjahr: 30 September 2024
Ort: Darmstadt
Publikationsdatum der Erstveröffentlichung: 2017
Ort der Erstveröffentlichung: Wunstorf
Verlag: AMA Service GmbH
Buchtitel: AMA Conferences 2017 : Proceedings : SENSOR 2017, IRS² 2017
Veranstaltungstitel: 18th International Conference on Sensors and Measurement Technology (SENSOR 2017)
Veranstaltungsort: Nürnberg, Germany
Veranstaltungsdatum: 30.05.2017 - 01.06.2017
DOI: 10.26083/tuprints-00028153
URL / URN: https://tuprints.ulb.tu-darmstadt.de/28153
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Herkunft: Zweitveröffentlichungsservice
Kurzbeschreibung (Abstract):

Additively manufactured or 3d printed components are commonly used for rapid prototyping or small series production purposes. Their mechanical properties, especially in the acoustic regime, are sparsely researched as of now. Therefore, we present a non-destructive measurement procedure to characterize the properties of additively manufactured components. We manufacture 3mm thick plates by fused deposition modeling of polylactic acid (PLA). Using focused laser radiation, broadband ultrasonic Lambwaves are excited in the plates via the photoacoustic effect. These waves are detected using a purposebuilt ultrasonic transducer for plate waves. The measurement signals processed are compared to the output of a plate waveguide model. In an inverse procedure, the material parameters of the model are optimized to yield estimates for the material properties of the sample. Using this approach, we analyze the influence of printing process parameters on the mechanic and acoustic properties of the manufactured specimens.

Freie Schlagworte: additive manufacturing, material properties, acoustic characterization, non-destructive
Status: Verlagsversion
URN: urn:nbn:de:tuda-tuprints-281535
Zusätzliche Informationen:

Chapter P2 - Mechanical Sensors

Sachgruppe der Dewey Dezimalklassifikatin (DDC): 600 Technik, Medizin, angewandte Wissenschaften > 621.3 Elektrotechnik, Elektronik
600 Technik, Medizin, angewandte Wissenschaften > 670 Industrielle und handwerkliche Fertigung
Fachbereich(e)/-gebiet(e): 18 Fachbereich Elektrotechnik und Informationstechnik
18 Fachbereich Elektrotechnik und Informationstechnik > Mess- und Sensortechnik
Hinterlegungsdatum: 30 Sep 2024 13:42
Letzte Änderung: 11 Okt 2024 15:11
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