Size matters: Exploring part size effects on microstructure, defects, and mechanical property in optimized laser powder bed fusion (L-PBF) additive manufacturing
- Authors
- Ahn, Soung Yeoul; Jeong, Sang Guk; SaGong, Man Jae; Lee, Gitaek; Kim, Eun Seong; Park, Hyojin; Cho, Jung-Wook; Kim, Jung Gi; Kim, Hyoung Seop
- Issue Date
- Jun-2024
- Publisher
- Elsevier BV
- Keywords
- Finite element simulation; Laser metal additive manufacturing; Part size effect; Processing defects; Processing parameters
- Citation
- Materials Science and Engineering: A, v.902
- Indexed
- SCIE
SCOPUS
- Journal Title
- Materials Science and Engineering: A
- Volume
- 902
- URI
- https://scholarworks.gnu.ac.kr/handle/sw.gnu/70571
- DOI
- 10.1016/j.msea.2024.146616
- ISSN
- 0921-5093
1873-4936
- Abstract
- In laser-based metal additive manufacturing (MAM), effective process optimization requires a thorough analysis of variations across the process window. Despite the common practice of utilizing small-sized coupons to optimize process parameters in laser-based MAM, this study challenges this convention. Through an analysis of microstructure and defect differences in Fe-Ni material parts produced via laser-powder bed fusion (L-PBF), the study reveals significant discrepancies in microstructure, defect and mechanical property based on part size. As part size increases, lack-of-fusion defects and cracks become more pronounced, resulting in a decrease in density from 8.11 g/cm3 to 8.02 g/cm3, leading to constrained grain growth with a decrease of grain size from 41.88 μm to 23.07 μm in the scanning plane. Each defect and microstructural difference was traced back to variations in thermal history based on part size. Finite element method simulations, highlighting differences in thermal history from scanning a single layer to the entire part, showed that an increase in scan length with a widened scan area enlarged the period of the thermal history cycle, leading to considerable cooling. This study underscores crucial considerations for future researchers engaged in process optimization for novel alloy systems using laser-based MAM processes. © 2024 Elsevier B.V.
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