Manufacturing of Pure Copper with Electron Beam Melting and the Effect of Thermal and Abrasive Post-Processing on Microstructure and Electric Conductivity.

copper electric conductivity electron beam melting heat treatment microstructure post-processing

Journal

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

Informations de publication

Date de publication:
21 Dec 2022
Historique:
received: 18 11 2022
revised: 14 12 2022
accepted: 17 12 2022
entrez: 8 1 2023
pubmed: 9 1 2023
medline: 9 1 2023
Statut: epublish

Résumé

Due to the increasing demand for electrification in the automotive sector, the interest in the manufacturing and processing of pure Copper (Cu; purity 99.99%) is also increasing. Laser-based technologies have proven to be challenging due to Cu's high optical reflectivity. Processing pure Cu with Electron Beam Melting (EBM) is a promising manufacturing route, allowing for high design freedom. The highest priority is to achieve outstanding thermal and electric conductivity in manufactured Cu components. Chemical contamination or manufacturing defects, such as porosity, significantly reduce the thermal and electric conductivity. The literature on post-processing (thermal and abrasive) of additively manufactured Cu is scarce. Therefore, this study discusses the correlation between as built and heat treated microstructure, as well as surface roughness on the EBM electric conductivity. EBSD analysis is performed to analyze the effect of microstructure on electric conductivity. The effect of sandblasting and vibratory finishing on surface roughness and electric conductivity is investigated. Additionally, the samples are mechanically tested in terms of hardness.

Identifiants

pubmed: 36614410
pii: ma16010073
doi: 10.3390/ma16010073
pmc: PMC9821559
pii:
doi:

Types de publication

Journal Article

Langues

eng

Références

Appl Microbiol Biotechnol. 2011 Jul;91(2):237-49
pubmed: 21656137
Scanning. 2019 Apr 1;2019:2903920
pubmed: 31065312
ACS Nano. 2021 Oct 26;15(10):16607-16615
pubmed: 34605639

Auteurs

Sandra Megahed (S)

Digital Additive Production (DAP), RWTH Aachen University, Campus-Boulevard 73, 52074 Aachen, Germany.

Florian Fischer (F)

Digital Additive Production (DAP), RWTH Aachen University, Campus-Boulevard 73, 52074 Aachen, Germany.

Martin Nell (M)

Institute of Electrical Machines (IEM), RWTH Aachen University, Schinkelstr. 4, 52062 Aachen, Germany.

Joy Forsmark (J)

Research and Advanced Engineering Laboratory, Ford Motor Company, 2101 Village Road, Dearborn, MI 48121, USA.

Franco Leonardi (F)

Research and Advanced Engineering Laboratory, Ford Motor Company, 2101 Village Road, Dearborn, MI 48121, USA.

Leyi Zhu (L)

Research and Advanced Engineering Laboratory, Ford Motor Company, 2101 Village Road, Dearborn, MI 48121, USA.

Kay Hameyer (K)

Institute of Electrical Machines (IEM), RWTH Aachen University, Schinkelstr. 4, 52062 Aachen, Germany.

Johannes Henrich Schleifenbaum (JH)

Digital Additive Production (DAP), RWTH Aachen University, Campus-Boulevard 73, 52074 Aachen, Germany.

Classifications MeSH