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...
Saved in:
Main Author: | Pey, Zhi Kai |
---|---|
Other Authors: | Li Hua |
Format: | Final Year Project |
Language: | English |
Published: |
Nanyang Technological University
2024
|
Subjects: | |
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 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
Review of directed energy deposition additive manufactured printed specimens
by: Yusuf Bin Mohd Azawan
Published: (2024) -
Direct energy deposition (DED) process parameters optimization via experiments (C)
by: Mohamed Zaki Bin Mohamed Abdul Kadir
Published: (2024) -
Additive manufacturing: DED process parameters optimization via experiments (E)
by: Tong, Gao Rui
Published: (2024) -
Additive manufacturing: direct-energy-deposition process parameters optimisation via simulation (B)
by: Chua, Wei Bin
Published: (2024) -
Microstructure modelling for metallic additive manufacturing : a review
by: Tan, Joel Heang Kuan, et al.
Published: (2021)