| Issue |
MATEC Web Conf.
Volume 388, 2023
2023 RAPDASA-RobMech-PRASA-AMI Conference Advanced Manufacturing Beyond Borders - The 24th Annual International RAPDASA Conference joined by RobMech, PRASA and AMI, hosted by CSIR and CUT
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| Article Number | 03003 | |
| Number of page(s) | 13 | |
| Section | Material Development | |
| DOI | https://doi.org/10.1051/matecconf/202338803003 | |
| Published online | 15 December 2023 | |
Regression analysis and optimization of direct energy deposition parameters for functionally graded 316L stainless steel-tungsten carbide coatings
Department of Industrial Engineering, Stellenbosch University, Stellenbosch, South Africa
* Corresponding author: natashasacks@sun.ac.za
In this study, the manufacturing of a two-layered functionally graded 316L stainless steel-tungsten carbide coating using directed energy deposition was investigated. The aim was to determine the optimal deposition parameters to achieve minimum porosity using a thickness of 1mm per layer. The input factors considered were laser scanning power and scanning speed, which were varied at different levels according to a full factorial design of an experimental matrix. To determine the optimum parameters regression analysis using analysis of variance was carried out. The optimum parameters were found at a laser scanning power of 607.4 W and a scanning speed of 8.5 mm/s for the first coated layer, and at a laser scanning power of 700 W and a scanning speed of 11 mm/s for the second coated layer. Minimum porosities of 0.0065 % and 0.0554 % were achieved for each coated layer respectively.
© The Authors, published by EDP Sciences, 2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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