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dc.contributor.author
Gh Ghanbari, Pooriya
dc.contributor.author
Mazza, Edoardo
dc.contributor.author
Hosseini, Ehsan
dc.date.accessioned
2020-09-28T12:55:50Z
dc.date.available
2020-09-27T02:47:56Z
dc.date.available
2020-09-28T12:55:50Z
dc.date.issued
2020-12
dc.identifier.issn
2214-8604
dc.identifier.other
10.1016/j.addma.2020.101518
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/442899
dc.description.abstract
Numerical simulation is a powerful tool for understanding the complex physics of metal additive manufacturing (MAM) processes and to provide guidelines for optimization of the process conditions. The fast kinetics and highly localized nature of the involved phenomena demand high levels of time and space discretization for MAM simulations which significantly increases the computational costs. The existing simplified simulation approaches apply gross approximations to overcome the numerical cost barrier. This study proposes a multiscale approach which breaks down the problem into two scales of local and global simulations. The method argues that a high level of discretization is only required for capturing the physics of fast-kinetics phenomena occurring in the vicinity of the melt-pool, while a much coarser discretization is applicable for the rest of the simulation domain. As a particular type of adaptive submodeling technique, the results of fine-mesh local simulations around the moving melt-pool are combined with the outcome of a coarse-mesh global solution to provide reliable predictions at a significantly reduced computational cost. The efficiency and reliability of the proposed idea has been evaluated for 2D thermal simulation of the selective laser melting process. The outcome of the exercise demonstrates that the methodology can reduce the computational cost of the simulations by an order of magnitude with minimal loss of accuracy.
en_US
dc.language.iso
en
en_US
dc.publisher
Elsevier
en_US
dc.subject
Additive manufacturing
en_US
dc.subject
Selective laser melting
en_US
dc.subject
Multiscale thermal modeling
en_US
dc.subject
Adaptive local-global simulation
en_US
dc.subject
Computational efficiency
en_US
dc.title
Adaptive local-global multiscale approach for thermal simulation of the selective laser melting process
en_US
dc.type
Journal Article
dc.date.published
2020-08-22
ethz.journal.title
Additive Manufacturing
ethz.journal.volume
36
en_US
ethz.pages.start
101518
en_US
ethz.size
10 p.
en_US
ethz.identifier.scopus
ethz.publication.place
Amsterdam
en_US
ethz.publication.status
published
en_US
ethz.date.deposited
2020-09-27T02:48:01Z
ethz.source
SCOPUS
ethz.eth
yes
en_US
ethz.availability
Metadata only
en_US
ethz.rosetta.installDate
2020-09-28T12:56:00Z
ethz.rosetta.lastUpdated
2020-09-28T12:56:00Z
ethz.rosetta.exportRequired
true
ethz.rosetta.versionExported
true
ethz.COinS
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