Understanding laser-metal interaction in selective laser melting additive manufacturing through numerical modelling and simulation: a review
Selective laser melting (SLM) is the most used and versatile technique for additively manufactured metallic parts. Due to its unique flexibility in enabling the fabrication of complex geometries, it has received great attention, especially in very demanding industries such as aerospace and automotiv...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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Taylor & Francis Group
2022-07-01
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| Series: | Virtual and Physical Prototyping |
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| Online Access: | http://dx.doi.org/10.1080/17452759.2022.2052488 |
| _version_ | 1797678625177206784 |
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| author | Abdelkrim Bouabbou Sebastien Vaudreuil |
| author_facet | Abdelkrim Bouabbou Sebastien Vaudreuil |
| author_sort | Abdelkrim Bouabbou |
| collection | DOAJ |
| description | Selective laser melting (SLM) is the most used and versatile technique for additively manufactured metallic parts. Due to its unique flexibility in enabling the fabrication of complex geometries, it has received great attention, especially in very demanding industries such as aerospace and automotive. Improving this process requires a better understanding of laser-metal interactions, something that can be achieved by relying on numerical modelling as a cost-effective alternative to experiments. This review focuses on laser-metal-powder interactions, with an emphasis on powder-scale modelling and simulation, to elucidate the powder-part relationship. Through a comprehensive meta-analysis of the physical processes and the existing numerical modelling methodologies, this review exposes the advancements in both virtual powder bed generation and ways of carrying out multi-physics computations. Process optimisation with meta-modelling and machine learning are also critically discussed, with clear evidence of their capabilities and limitations. |
| first_indexed | 2024-03-11T23:02:38Z |
| format | Article |
| id | doaj.art-75fb041a52814ecd92e5e39566a7fe82 |
| institution | Directory Open Access Journal |
| issn | 1745-2759 1745-2767 |
| language | English |
| last_indexed | 2024-03-11T23:02:38Z |
| publishDate | 2022-07-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | Virtual and Physical Prototyping |
| spelling | doaj.art-75fb041a52814ecd92e5e39566a7fe822023-09-21T14:38:03ZengTaylor & Francis GroupVirtual and Physical Prototyping1745-27591745-27672022-07-0117354356210.1080/17452759.2022.20524882052488Understanding laser-metal interaction in selective laser melting additive manufacturing through numerical modelling and simulation: a reviewAbdelkrim Bouabbou0Sebastien Vaudreuil1Euro-Mediterranean University of FezEuro-Mediterranean University of FezSelective laser melting (SLM) is the most used and versatile technique for additively manufactured metallic parts. Due to its unique flexibility in enabling the fabrication of complex geometries, it has received great attention, especially in very demanding industries such as aerospace and automotive. Improving this process requires a better understanding of laser-metal interactions, something that can be achieved by relying on numerical modelling as a cost-effective alternative to experiments. This review focuses on laser-metal-powder interactions, with an emphasis on powder-scale modelling and simulation, to elucidate the powder-part relationship. Through a comprehensive meta-analysis of the physical processes and the existing numerical modelling methodologies, this review exposes the advancements in both virtual powder bed generation and ways of carrying out multi-physics computations. Process optimisation with meta-modelling and machine learning are also critically discussed, with clear evidence of their capabilities and limitations.http://dx.doi.org/10.1080/17452759.2022.2052488slmmulti-physics modellingcfddemsphmachine learning |
| spellingShingle | Abdelkrim Bouabbou Sebastien Vaudreuil Understanding laser-metal interaction in selective laser melting additive manufacturing through numerical modelling and simulation: a review Virtual and Physical Prototyping slm multi-physics modelling cfd dem sph machine learning |
| title | Understanding laser-metal interaction in selective laser melting additive manufacturing through numerical modelling and simulation: a review |
| title_full | Understanding laser-metal interaction in selective laser melting additive manufacturing through numerical modelling and simulation: a review |
| title_fullStr | Understanding laser-metal interaction in selective laser melting additive manufacturing through numerical modelling and simulation: a review |
| title_full_unstemmed | Understanding laser-metal interaction in selective laser melting additive manufacturing through numerical modelling and simulation: a review |
| title_short | Understanding laser-metal interaction in selective laser melting additive manufacturing through numerical modelling and simulation: a review |
| title_sort | understanding laser metal interaction in selective laser melting additive manufacturing through numerical modelling and simulation a review |
| topic | slm multi-physics modelling cfd dem sph machine learning |
| url | http://dx.doi.org/10.1080/17452759.2022.2052488 |
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