상세 보기
- Gwak, Minseok;
- Park, Jun Young;
- Jeong, Sang Guk;
- Seol, Jae Bok;
- Sung, Hyokyung;
- ... Kim, Jung Gi;
- 외 2명
WEB OF SCIENCE
8SCOPUS
7초록
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.
키워드
- 제목
- Optimization of Laser-Powder Bed Fusion Processed Fe-4.5Si Alloy via Response Surface Methodology
- 저자
- Gwak, Minseok; Park, Jun Young; Jeong, Sang Guk; Seol, Jae Bok; Sung, Hyokyung; Kim, Seokhwan; Kim, Hyoung Seop; Kim, Jung Gi
- 발행일
- 2023-02
- 유형
- Article
- 권
- 94
- 호
- 2