Optimization of Laser-Powder Bed Fusion Processed Fe-4.5Si Alloy via Response Surface Methodology
- Authors
- Gwak, Minseok; Park, Jun Young; Jeong, Sang Guk; Seol, Jae Bok; Sung, Hyokyung; Kim, Seokhwan; Kim, Hyoung Seop; Kim, Jung Gi
- Issue Date
- Feb-2023
- Publisher
- WILEY-V C H VERLAG GMBH
- Keywords
- additive manufacturing; Fe-Si alloys; processing optimization; response surface methodology
- Citation
- STEEL RESEARCH INTERNATIONAL, v.94, no.2
- Indexed
- SCIE
SCOPUS
- Journal Title
- STEEL RESEARCH INTERNATIONAL
- Volume
- 94
- Number
- 2
- URI
- https://scholarworks.gnu.ac.kr/handle/sw.gnu/2791
- DOI
- 10.1002/srin.202200155
- ISSN
- 1611-3683
1869-344X
- Abstract
- Fe-Si alloy-based additive manufacturing (AM) has become a popular manufacturing process of complex-shaped parts for electric mobility vehicles. However, an optimization strategy has yet to be established owing to the various processing parameters of the AM process. Because the energy density-based approach is unable to consider external factors (e.g., irregularly shaped powders and instrumental effects), the present study applies the response surface methodology (RSM) to estimate the properties of AM-processed Fe-Si alloy samples. Quadratic polynomial models of the density and hardness based on the RSM successfully estimated the properties of as-built Fe-4.5Si alloy samples with a deviation of 5% from the experimental results. Based on the verified mathematical models, the optimal conditions to manufacture a Fe-4.5Si sample with the highest density and hardness combination are 125.38 W and 800 mm s(-1). The results indicate that RSM is an effective approach for optimizing the properties of AM-processed parts with a limited amount of experimental data.
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