Digitisation of metal AM for part microstructure and property control.
Additive Manufacturing
Industry 4.0
Machine learning
Monitoring
Numerical modelling
Powder Bed Fusion
Process control
Quality control
Selective laser melting
Smart manufacturing
Journal
International journal of material forming
ISSN: 1960-6214
Titre abrégé: Int J Mater Form
Pays: France
ID NLM: 9918382979106676
Informations de publication
Date de publication:
2022
2022
Historique:
received:
21
12
2021
revised:
15
03
2022
accepted:
17
03
2022
entrez:
5
5
2022
pubmed:
6
5
2022
medline:
6
5
2022
Statut:
ppublish
Résumé
Metal additive manufacturing, which uses a layer-by-layer approach to fabricate parts, has many potential advantages over conventional techniques, including the ability to produced complex geometries, fast new design part production, personalised production, have lower cost and produce less material waste. While these advantages make AM an attractive option for industry, determining process parameters which result in specific properties, such as the level of porosity and tensile strength, can be a long and costly endeavour. In this review, the state-of-the-art in the control of part properties in AM is examined, including the effect of microstructure on part properties. The simulation of microstructure formation via numerical simulation and machine learning is examined which can provide process quality control and has the potential to aid in rapid process optimisation via closed loop control. In-situ monitoring of the AM process, is also discussed as a route to enable first time right production in the AM process, along with the hybrid approach of AM fabrication with post-processing steps such as shock peening, heat treatment and rolling. At the end of the paper, an outlook is presented with a view towards potential avenues for further research required in the field of metal AM.
Identifiants
pubmed: 35509322
doi: 10.1007/s12289-022-01686-4
pii: 1686
pmc: PMC9015669
doi:
Types de publication
Journal Article
Langues
eng
Pagination
30Informations de copyright
© The Author(s) 2022.
Déclaration de conflit d'intérêts
Conflict of interestThe authors declare that they have no conflict of interest.
Références
Materials (Basel). 2019 Mar 26;12(6):
pubmed: 30917513
Addit Manuf. 2019 Dec;30:
pubmed: 34141600
Materials (Basel). 2019 Apr 19;12(8):
pubmed: 31010189
Sci Rep. 2017 Mar 03;7:43554
pubmed: 28256595
Materials (Basel). 2020 Jan 16;13(2):
pubmed: 31963172
Materials (Basel). 2021 Jan 14;14(2):
pubmed: 33466941