| Issue |
MATEC Web Conf.
Volume 417, 2025
2025 RAPDASA-RobMech-PRASA-AMI Conference: Bridging the Gap between Industry & Academia - The 26th Annual International RAPDASA Conference, joined by RobMech, PRASA and AMI, co-hosted by CSIR and Tshwane University of Technology, Pretoria
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| Article Number | 05010 | |
| Number of page(s) | 12 | |
| Section | Process Development | |
| DOI | https://doi.org/10.1051/matecconf/202541705010 | |
| Published online | 25 November 2025 | |
Process parameter optimization of laser additive manufactured AlCrFeNiTiVZr alloys using response surface technique
1 Department of Chemical, Metallurgical and Materials Engineering, Tshwane University of Technology, South Africa
2 Center for Energy and Electric power, Electrical Engineering, Faculty of Engineering and Built Environment, Tshwane University of Technology, Pretoria
* Corresponding author: abidemiadeyoye@gmail.com
This study investigates the effect of laser power on the mechanical properties of equiatomic AlCrFeNiTiVZr high entropy alloy (HEA) fabricated using the Laser Additive Manufacturing (LAM) process. Laser powers of 300, 320, 340, 360, and 380 W were varied, while the scanning speed was held constant at 6.73 mm/s. The analyzed key performance indicators include microstructure, nanohardness, elastic modulus, and wear resistance. A combination of experimental evaluation and statistical modeling using design of experiments (DOE) and analysis of variance (ANOVA) was employed to identify optimal mechanical and tribological responses and to assess the relationships between laser parameters and alloy performance. The results indicate that higher laser power is crucial in achieving microstructural characteristics, which leads to a balance of hardness, strength properties and wear resistance. Predictions from the developed models suggest that the optimal power input should be within the range of 340–380 W. The validation process showed that the variation between what the models predicted and the actual experimental results is less than 0.05, confirming that the models are reliable for future predictions.
Key words: High entropy alloys (HEAs) / AlCrFeNiTiVZr Alloy / Laser Additive Manufacturing (LAM) / Process Parameter Optimization / Direct Energy Deposition (DED) / Response Surface Methodology (RSM, Analysis of Variance (ANOVA) / Statistical Modeling / Design of Experiments (DoE) / Mechanical properties
© The Authors, published by EDP Sciences, 2025
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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