Residual Stresses Measurements in Laser Powder Bed Fusion Using Barkhausen Noise Analysis.

1.2709 Barkhausen noise LPBF MS300 monitoring residual stresses

Journal

Materials (Basel, Switzerland)
ISSN: 1996-1944
Titre abrégé: Materials (Basel)
Pays: Switzerland
ID NLM: 101555929

Informations de publication

Date de publication:
05 Apr 2022
Historique:
received: 25 02 2022
revised: 23 03 2022
accepted: 03 04 2022
entrez: 12 4 2022
pubmed: 13 4 2022
medline: 13 4 2022
Statut: epublish

Résumé

In recent years, the advancement of technology brought the laser powder bed fusion process to its industrialisation step. Despite all the advancements in process repeatability and general quality control, many challenges remain unsolved due to the intrinsic difficulties of the process, notably the residual stresses issue. This work aimed to assess the usability of Barkhausen noise analysis (BNA) for the residual stress in situ monitoring of laser powder bed fusion on Maraging steel 300 (18Ni-300/1.2709). After measuring the evolution of grain size distribution over process parameter changes, two series of experiments were designed. First, a setup with an external force allows to validate the working principle of BNA on the chosen material processed using LPBF. The second experiment uses on-plates samples with different residual stress states. The results show a good stability in microstructure, a prerequisite for BNA. In addition, the external load setup acknowledges that signal variation correlates with the induced stress state. Finally, the on-plate measurement shows a similar signal variation to what has been observed in the literature for residual stress variation. It is shown that BNA is a suitable method for qualitative residual stresses variation monitoring developed during the LPBF process and underlines that BNA is a promising candidate as an in situ measurement method.

Identifiants

pubmed: 35408003
pii: ma15072676
doi: 10.3390/ma15072676
pmc: PMC9000509
pii:
doi:

Types de publication

Journal Article

Langues

eng

Auteurs

Alexandre Staub (A)

Institute of Machine Tools and Manufacturing, ETH Zurich, 8092 Zurich, Switzerland.
Inspire, Innovation Center for Additive Manufacturing Switzerland (Icams), 9014 St Gallen, Switzerland.

Muriel Scherer (M)

Institute of Machine Tools and Manufacturing, ETH Zurich, 8092 Zurich, Switzerland.

Pascal Zehnder (P)

Institute of Machine Tools and Manufacturing, ETH Zurich, 8092 Zurich, Switzerland.

Adriaan Bernardus Spierings (AB)

Inspire, Innovation Center for Additive Manufacturing Switzerland (Icams), 9014 St Gallen, Switzerland.

Konrad Wegener (K)

Institute of Machine Tools and Manufacturing, ETH Zurich, 8092 Zurich, Switzerland.

Classifications MeSH