Thermal fluid modelling of selective laser melting
Selective Laser Melting (SLM) has been increasingly popular in producing metal parts in the manufacturing industry. Its flexibility in printing complex shapes has given it an advantage over conventional manufacturing methods. There are many experimental studies conducted to obtain the optimized p...
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sg-ntu-dr.10356-886722020-09-24T20:10:39Z Thermal fluid modelling of selective laser melting Tan, Jie Lun Tang, Chao Wong, Chee How School of Mechanical and Aerospace Engineering Proceedings of the 3rd International Conference on Progress in Additive Manufacturing (Pro-AM 2018) Singapore Centre for 3D Printing Selective Laser Melting Modelling DRNTU::Engineering::Mechanical engineering::Prototyping Selective Laser Melting (SLM) has been increasingly popular in producing metal parts in the manufacturing industry. Its flexibility in printing complex shapes has given it an advantage over conventional manufacturing methods. There are many experimental studies conducted to obtain the optimized parameters for different materials. By varying parameters such as laser power and scanning speed, it will affect the energy density on the powder bed, hence affecting the quality of the part. Since there are many parameters in the SLM process, it will take numerous experiments to determine the optimized parameters. Numerical modelling can be introduced to study the melting of the powders during SLM. The Marangoni force and recoil pressure play important roles in replicating the laser melting process. This paper will discuss on the effects on these two factors and the importance of their inclusion in the model. EDB (Economic Devt. Board, S’pore) Published version 2018-09-10T08:43:06Z 2019-12-06T17:08:31Z 2018-09-10T08:43:06Z 2019-12-06T17:08:31Z 2018 Conference Paper Tan, J. L., Tang, C., & Wong, C. H. (2018). Thermal fluid modelling of selective laser melting. Proceedings of the 3rd International Conference on Progress in Additive Manufacturing (Pro-AM 2018), 557-562. doi:10.25341/D43S3S https://hdl.handle.net/10356/88672 http://hdl.handle.net/10220/45918 10.25341/D43S3S en © 2018 Nanyang Technological University. Published by Nanyang Technological University, Singapore. 6 p. application/pdf |
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Selective Laser Melting Modelling DRNTU::Engineering::Mechanical engineering::Prototyping Tan, Jie Lun Tang, Chao Wong, Chee How Thermal fluid modelling of selective laser melting |
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Selective Laser Melting (SLM) has been increasingly popular in producing metal
parts in the manufacturing industry. Its flexibility in printing complex shapes has given it an
advantage over conventional manufacturing methods. There are many experimental studies
conducted to obtain the optimized parameters for different materials. By varying parameters such as laser power and scanning speed, it will affect the energy density on the powder bed, hence affecting the quality of the part. Since there are many parameters in the SLM process, it will take numerous experiments to determine the optimized parameters. Numerical modelling can be introduced to study the melting of the powders during SLM. The Marangoni force and recoil pressure play important roles in replicating the laser melting process. This paper will discuss on the effects on these two factors and the importance of their inclusion in the model. |
author2 |
School of Mechanical and Aerospace Engineering |
author_facet |
School of Mechanical and Aerospace Engineering Tan, Jie Lun Tang, Chao Wong, Chee How |
format |
Conference or Workshop Item |
author |
Tan, Jie Lun Tang, Chao Wong, Chee How |
author_sort |
Tan, Jie Lun |
title |
Thermal fluid modelling of selective laser melting |
title_short |
Thermal fluid modelling of selective laser melting |
title_full |
Thermal fluid modelling of selective laser melting |
title_fullStr |
Thermal fluid modelling of selective laser melting |
title_full_unstemmed |
Thermal fluid modelling of selective laser melting |
title_sort |
thermal fluid modelling of selective laser melting |
publishDate |
2018 |
url |
https://hdl.handle.net/10356/88672 http://hdl.handle.net/10220/45918 |
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1681056247056433152 |