Please use this identifier to cite or link to this item:
https://hdl.handle.net/10356/177406| Title: | Direct energy deposition (DED) process parameters optimization via experiments (C) | Authors: | Mohamed Zaki Bin Mohamed Abdul Kadir | Keywords: | Engineering | Issue Date: | 2024 | Publisher: | Nanyang Technological University | Source: | Mohamed Zaki Bin Mohamed Abdul Kadir (2024). Direct energy deposition (DED) process parameters optimization via experiments (C). Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/177406 | Project: | B126 | Abstract: | Direct Energy Deposition (DED) is a transformative method in Additive Manufacturing that allows for the precise fabrication of complex metal structures. Originating as a tool for repairing and modifying components, DED technology has evolved to play a pivotal role in a variety of industries, thanks to its ability to create intricate geometries and functional gradient materials. Due to this, there exist a problem in optimizing the parameters to get the right specifications. The primary goal of this study is to systematically investigate how various process parameters influence the properties of the manufactured samples. This involves a thorough experimental analysis to determine the effect of these variables on the deposition process. Finally, the project aims to establish a recommended range of parameters for singletrack deposition in DED, offering a guideline for optimal printing conditions. This conclusion is drawn from the extensive analysis of the experimental results. The report concludes by highlighting the significance of these findings for advancing the capabilities and understanding of DED, proposing valuable insights for future research. | URI: | https://hdl.handle.net/10356/177406 | DOI (Related Dataset): | https://hdl.handle.net/10356/167562 https://doi.org/10.1016/j.apmate.2022.100054 https://doi.org/10.1080/17452759.2015.1111519. https://doi.org/10.33889/ijmems.2022.7.1.007 https://doi.org/10.1016/j.matpr.2023.03.333 https://doi.org/10.1007/s40684-020-00302- 7 https://doi.org/10.1016/b978-0-08-102663-2.00002-2 https://doi.org/10.3390/coatings9070418 https://doi.org/10.20517/jmi.2022.18 https://doi.org/10.1016/j.jallcom.2019.02.121 https://doi.org/10.1016/j.optlastec.2018.11.054 https://doi.org/10.3390/ma13112666 https://doi.org/10.1016/j.optlastec.2017.10.015 https://doi.org/10.1016/j.optlaseng.2017.07.008 https://doi.org/10.1016/j.ijleo.2016.01.070 https://doi.org/10.1016/j.optlastec.2021.107162 https://doi.org/10.1016/j.matdes.2020.109342 https://doi.org/10.1016/j.jmrt.2022.02.042 https://doi.org/10.1007/s11665-021-05762-9 https://doi.org/10.1016/j.procir.2021.10.018 https://doi.org/10.1016/j.msea.2021.142004 https://doi.org/10.1007/s00170-022-09210-3 https://doi.org/10.1007/s00170- 020-06113-z https://doi.org/10.1016/j.optlastec.2021.107680 https://doi.org/10.3390/app10093310 https://doi.org/10.3390/ma17040889. https://doi.org/10.1533/9781845699819.6.461 https://doi.org/10.1007/s00170-022-09644-9 https://doi.org/10.1007/s00170-022-09210-3 https://doi.org/10.1007/s10845-022- 02029-5 https://doi.org/10.1007/s00170-023-10966-5 https://doi.org/10.3390/app12105027. https://doi.org/10.1038/s41598-021-03622-z |
Schools: | School of Mechanical and Aerospace Engineering | Fulltext Permission: | restricted | Fulltext Availability: | With Fulltext |
| Appears in Collections: | MAE Student Reports (FYP/IA/PA/PI) |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| FYP_Report_Final_Mohamed_Zaki.pdf Restricted Access | 2.07 MB | Adobe PDF | View/Open |
Page view(s)
85
Updated on Mar 16, 2025
Download(s)
2
Updated on Mar 16, 2025
Google ScholarTM
Check
Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.