In-situ sensing, process monitoring and machine control in Laser Powder Bed Fusion: A review

Autor: Victor Acinas Garzon, Ronán McCann, Dermot Brabazon, Ajey M. Joshi, Éanna McCarthy, Rajani K. Vijayaraghavan, Denis P. Dowling, Muhannad Ahmed Obeidi, Patrick J. McNally, Darragh S. Egan, Cian Hughes
Rok vydání: 2021
Předmět:
Signal processing
0209 industrial biotechnology
Materials science
Industry 4.0
Additive manufacturing
Powder bed fusion
Process sensing
Machine control
Smart manufacturing
Selective laser melting
Electron beam melting
In-situ monitoring
Process (engineering)
Biomedical Engineering
Laser plasmas
02 engineering and technology
Abstract process
Industrial and Manufacturing Engineering
Systems engineering
020901 industrial engineering & automation
Reliability (semiconductor)
Image processing
Control theory
Machine learning
Imaging systems
Process control
General Materials Science
Process engineering
Materials
Engineering (miscellaneous)
Acoustical engineering
business.industry
Lasers
Physics
021001 nanoscience & nanotechnology
Mechanical engineering
Photonics
Plasmas
0210 nano-technology
business
Quality assurance
Zdroj: McCann, Ronán ORCID: 0000-0002-2071-0785 , Ahmed Obeidi, Muhannad ORCID: 0000-0003-2733-3828 , Hughes, Cian ORCID: 0000-0002-4863-733X , McCarthy, Éanna, Egan, Darragh ORCID: 0000-0003-2786-7379 , Vijayaraghavan, Rajani K. ORCID: 0000-0003-1096-448X , Joshi, Ajey ORCID: 0000-0003-3120-886X , Acinas Garzon, Victor, Dowling, Denis P. ORCID: 0000-0001-7853-2478 , McNally, Patrick J. ORCID: 0000-0003-2798-5121 and Brabazon, Dermot ORCID: 0000-0003-3214-6381 (2021) In-situ sensing, process monitoring and machine control in Laser Powder Bed Fusion: a review. Additive Manufacturing, 45 . ISSN 2214-8604
ISSN: 2214-8604
DOI: 10.1016/j.addma.2021.102058
Popis: Process monitoring and sensing is widely used across many industries for quality assurance, and for increasing machine uptime and reliability. Though still in the emergent stages, process monitoring is beginning to see strong adoption in the additive manufacturing community through the use of process sensors recording a wide range of optical, acoustic and thermal signals. The ability to acquire these signals in a holistic manner, coupled with intelligence-based machine control has the potential to make additive manufacturing a robust and competitive alternative to conventional fabrication techniques. This paper presents an overview of the state-of the art of in-situ process monitoring in laser powder bed fusion processes and highlights some current limitations and areas for advancement. Also presented is an overview of real-time process control requirements, which when combined with the emergent process monitoring tools, will eventually allow for in-depth process control of the powder bed fusion process, which is essential for wide-scale industrial credibility and adoption of this technology.
Databáze: OpenAIRE