In-process volumetric sensing of defects in multiple parts during powder bed fusion using ultrasound.

Autor:	Kizer NJ; Department of Engineering Science and Mechanics, The Pennsylvania State University, University Park, Pennsylvania 16802, USA., Dickman CJ; Applied Research Laboratory, The Pennsylvania State University, State College, Pennsylvania 16804, USAnjk19@psu.edu, cjd160@arl.psu.edu, NassarAbdallaR@JohnDeere.com, ewr101@arl.psu.edu, kube@psu.edu., Nassar AR; Applied Research Laboratory, The Pennsylvania State University, State College, Pennsylvania 16804, USAnjk19@psu.edu, cjd160@arl.psu.edu, NassarAbdallaR@JohnDeere.com, ewr101@arl.psu.edu, kube@psu.edu., Reutzel EW; Department of Engineering Science and Mechanics, The Pennsylvania State University, University Park, Pennsylvania 16802, USA.; Applied Research Laboratory, The Pennsylvania State University, State College, Pennsylvania 16804, USAnjk19@psu.edu, cjd160@arl.psu.edu, NassarAbdallaR@JohnDeere.com, ewr101@arl.psu.edu, kube@psu.edu., Kube CM; Department of Engineering Science and Mechanics, The Pennsylvania State University, University Park, Pennsylvania 16802, USA.
Jazyk:	angličtina
Zdroj:	JASA express letters [JASA Express Lett] 2023 Sep 01; Vol. 3 (9).
DOI:	10.1121/10.0020739
Abstrakt:	This letter reports on the integration of eight ultrasonic transducers into a build substrate for individual in-process monitoring of eight parts fabricated using powder bed fusion additive manufacturing. Ultrasound is shown to be able to sense poor fusion of parts to the substrate and also sensitivity to porosity. This technique demonstrates the utility of ultrasound as one of a few techniques able to interrogate the volume of additively manufactured parts during the process. Additionally, the ability to measure several parts during a single build can be used for efficient process parameter development studies, as the ultrasonic measurements can offer rapid information about part quality and integrity. (© 2023 Author(s). All article content, except where otherwise noted, is licensed under a Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).)
Databáze:	MEDLINE
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