Additive manufacturing: direct-energy-deposition process parameters optimisation via experiments (A)

This research explores the influence of Direct Energy Deposition (DED) process parameters on the microstructure of 316L stainless steel, specifically examining how changes in laser power, scanning speed, powder mass flow rate, and incremental ratios affect grain characteristics. Utilizing Electron B...

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Main Author: Pey, Zhi Kai
Other Authors: Li Hua
Format: Final Year Project
Language:English
Published: Nanyang Technological University 2024
Subjects:
DED
Online Access:https://hdl.handle.net/10356/177376
https://doi.org/10.1016/j.jmapro.2022.10.060
https://doi.org/10.1016/j.asej.2023.102516
https://doi.org/10.20546/ijcmas.2018.705.090
http://dx.doi.org/10.3390/ma13245715
https://doi.org/10.1016/j.matdes.2020.109342
https://doi.org/10.1007/s10853-019-04160-w
https://doi.org/10.1007/s12540-023-01508-5
https://doi.org/10.3390/cryst14020114
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1773762024-06-01T16:50:58Z Additive manufacturing: direct-energy-deposition process parameters optimisation via experiments (A) Pey, Zhi Kai Li Hua School of Mechanical and Aerospace Engineering LiHua@ntu.edu.sg Engineering Additive manufacturing DED Microstructure This research explores the influence of Direct Energy Deposition (DED) process parameters on the microstructure of 316L stainless steel, specifically examining how changes in laser power, scanning speed, powder mass flow rate, and incremental ratios affect grain characteristics. Utilizing Electron Backscatter Diffraction (EBSD) for detailed analysis, this study investigates the relationship between these process settings and key microstructural features such as grain size, orientation, and boundaries, which are crucial for determining the steel's mechanical properties. The results reveal that finer grain structures, attributed to optimized DED parameters, significantly enhance mechanical properties through the Hall-Petch effect, where increased grain boundaries act as barriers to dislocation movement, thus improving strength and hardness. Additionally, the grain orientation analysis provided insights into the material’s anisotropy, impacting its toughness and ductility depending on the loading direction. These findings highlight the potential of DED to tailor materials for specific mechanical requirements. In Conclusion, this study not only deepens the understanding of the DED process of microstructural control but also offers practical guidance for optimizing DED settings to achieve desired material properties. This is particularly valuable for industries like aerospace and healthcare, where material performance is critical. Future research should focus on real-time monitoring of these microstructural changes and exploring post-processing treatments to enhance material properties. Bachelor's degree 2024-05-28T05:53:15Z 2024-05-28T05:53:15Z 2024 Final Year Project (FYP) Pey, Z. K. (2024). Additive manufacturing: direct-energy-deposition process parameters optimisation via experiments (A). Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/177376 https://hdl.handle.net/10356/177376 en B124 https://doi.org/10.1016/j.jmapro.2022.10.060 https://doi.org/10.1016/j.asej.2023.102516 https://doi.org/10.20546/ijcmas.2018.705.090 http://dx.doi.org/10.3390/ma13245715 https://doi.org/10.1016/j.matdes.2020.109342 https://doi.org/10.1007/s10853-019-04160-w https://doi.org/10.1007/s12540-023-01508-5 https://doi.org/10.3390/cryst14020114 application/pdf Nanyang Technological University
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Engineering
Additive manufacturing
DED
Microstructure
spellingShingle Engineering
Additive manufacturing
DED
Microstructure
Pey, Zhi Kai
Additive manufacturing: direct-energy-deposition process parameters optimisation via experiments (A)
description This research explores the influence of Direct Energy Deposition (DED) process parameters on the microstructure of 316L stainless steel, specifically examining how changes in laser power, scanning speed, powder mass flow rate, and incremental ratios affect grain characteristics. Utilizing Electron Backscatter Diffraction (EBSD) for detailed analysis, this study investigates the relationship between these process settings and key microstructural features such as grain size, orientation, and boundaries, which are crucial for determining the steel's mechanical properties. The results reveal that finer grain structures, attributed to optimized DED parameters, significantly enhance mechanical properties through the Hall-Petch effect, where increased grain boundaries act as barriers to dislocation movement, thus improving strength and hardness. Additionally, the grain orientation analysis provided insights into the material’s anisotropy, impacting its toughness and ductility depending on the loading direction. These findings highlight the potential of DED to tailor materials for specific mechanical requirements. In Conclusion, this study not only deepens the understanding of the DED process of microstructural control but also offers practical guidance for optimizing DED settings to achieve desired material properties. This is particularly valuable for industries like aerospace and healthcare, where material performance is critical. Future research should focus on real-time monitoring of these microstructural changes and exploring post-processing treatments to enhance material properties.
author2 Li Hua
author_facet Li Hua
Pey, Zhi Kai
format Final Year Project
author Pey, Zhi Kai
author_sort Pey, Zhi Kai
title Additive manufacturing: direct-energy-deposition process parameters optimisation via experiments (A)
title_short Additive manufacturing: direct-energy-deposition process parameters optimisation via experiments (A)
title_full Additive manufacturing: direct-energy-deposition process parameters optimisation via experiments (A)
title_fullStr Additive manufacturing: direct-energy-deposition process parameters optimisation via experiments (A)
title_full_unstemmed Additive manufacturing: direct-energy-deposition process parameters optimisation via experiments (A)
title_sort additive manufacturing: direct-energy-deposition process parameters optimisation via experiments (a)
publisher Nanyang Technological University
publishDate 2024
url https://hdl.handle.net/10356/177376
https://doi.org/10.1016/j.jmapro.2022.10.060
https://doi.org/10.1016/j.asej.2023.102516
https://doi.org/10.20546/ijcmas.2018.705.090
http://dx.doi.org/10.3390/ma13245715
https://doi.org/10.1016/j.matdes.2020.109342
https://doi.org/10.1007/s10853-019-04160-w
https://doi.org/10.1007/s12540-023-01508-5
https://doi.org/10.3390/cryst14020114
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