Multi-layer 2D grain structure simulation in selective laser melting of stainless steel 316L

Additive manufacturing (AM) of metals allows high customization and offers manufacturing with greater geometrical freedom. Performance of metals is highly dependent on the microstructure, while the formation of microstructures in printed metal parts depends largely on the process parameters. Numeric...

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Main Authors: Yeong, Wai Yee, Tan, Joel Heang Kuan
Other Authors: School of Mechanical and Aerospace Engineering
Format: Conference or Workshop Item
Language:English
Published: 2018
Subjects:
Online Access:https://hdl.handle.net/10356/88565
http://hdl.handle.net/10220/45835
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-885652020-09-24T20:11:00Z Multi-layer 2D grain structure simulation in selective laser melting of stainless steel 316L Yeong, Wai Yee Tan, Joel Heang Kuan 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 DRNTU::Engineering::Mechanical engineering::Prototyping Additive Manufacturing Numerical Simulation Additive manufacturing (AM) of metals allows high customization and offers manufacturing with greater geometrical freedom. Performance of metals is highly dependent on the microstructure, while the formation of microstructures in printed metal parts depends largely on the process parameters. Numerical studies of AM processes provide insights on the processing parameters and the thermal interaction between energy source and the material. In this article, grain structure of selective laser melted part was investigated using cellular automata and finite element method. Finite element method was used to obtain the temperature history of metal powders and substrate. Thereafter, the temperature history was input to a cellular automata model to simulate the formation of grain structure and grain angles. The models were simulated in 2D and for multiple build layers. Two cases with different scanning speeds were investigated while the energy density was kept constant. The size and angles of grains were investigated. It was found that competitive growth happen in the first two layers and little change in grains happen after the third layer. The shorter melt pool lead to coarser grains and lower fraction of high angle grain boundaries (HAGB). While the longer melt pool lead to finger grains and higher fraction of HAGB. NRF (Natl Research Foundation, S’pore) Published version 2018-09-05T06:33:22Z 2019-12-06T17:06:13Z 2018-09-05T06:33:22Z 2019-12-06T17:06:13Z 2018 Conference Paper Tan, J. H. K., & Yeong, W. Y. (2018). Multi-layer 2D grain structure simulation in selective laser melting of stainless steel 316L. Proceedings of the 3rd International Conference on Progress in Additive Manufacturing (Pro-AM 2018), 321-327. doi:10.25341/D4GW2V https://hdl.handle.net/10356/88565 http://hdl.handle.net/10220/45835 10.25341/D4GW2V en © 2018 Nanyang Technological University. Published by Nanyang Technological University, Singapore. 7 p. application/pdf
institution Nanyang Technological University
building NTU Library
country Singapore
collection DR-NTU
language English
topic DRNTU::Engineering::Mechanical engineering::Prototyping
Additive Manufacturing
Numerical Simulation
spellingShingle DRNTU::Engineering::Mechanical engineering::Prototyping
Additive Manufacturing
Numerical Simulation
Yeong, Wai Yee
Tan, Joel Heang Kuan
Multi-layer 2D grain structure simulation in selective laser melting of stainless steel 316L
description Additive manufacturing (AM) of metals allows high customization and offers manufacturing with greater geometrical freedom. Performance of metals is highly dependent on the microstructure, while the formation of microstructures in printed metal parts depends largely on the process parameters. Numerical studies of AM processes provide insights on the processing parameters and the thermal interaction between energy source and the material. In this article, grain structure of selective laser melted part was investigated using cellular automata and finite element method. Finite element method was used to obtain the temperature history of metal powders and substrate. Thereafter, the temperature history was input to a cellular automata model to simulate the formation of grain structure and grain angles. The models were simulated in 2D and for multiple build layers. Two cases with different scanning speeds were investigated while the energy density was kept constant. The size and angles of grains were investigated. It was found that competitive growth happen in the first two layers and little change in grains happen after the third layer. The shorter melt pool lead to coarser grains and lower fraction of high angle grain boundaries (HAGB). While the longer melt pool lead to finger grains and higher fraction of HAGB.
author2 School of Mechanical and Aerospace Engineering
author_facet School of Mechanical and Aerospace Engineering
Yeong, Wai Yee
Tan, Joel Heang Kuan
format Conference or Workshop Item
author Yeong, Wai Yee
Tan, Joel Heang Kuan
author_sort Yeong, Wai Yee
title Multi-layer 2D grain structure simulation in selective laser melting of stainless steel 316L
title_short Multi-layer 2D grain structure simulation in selective laser melting of stainless steel 316L
title_full Multi-layer 2D grain structure simulation in selective laser melting of stainless steel 316L
title_fullStr Multi-layer 2D grain structure simulation in selective laser melting of stainless steel 316L
title_full_unstemmed Multi-layer 2D grain structure simulation in selective laser melting of stainless steel 316L
title_sort multi-layer 2d grain structure simulation in selective laser melting of stainless steel 316l
publishDate 2018
url https://hdl.handle.net/10356/88565
http://hdl.handle.net/10220/45835
_version_ 1681056623029649408