Detailed Information

Cited 11 time in webofscience Cited 11 time in scopus
Metadata Downloads

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 YeoulJeong, Sang GukSaGong, Man JaeLee, GitaekKim, Eun SeongPark, HyojinCho, Jung-WookKim, Jung GiKim, 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.
Files in This Item
There are no files associated with this item.
Appears in
Collections
공학계열 > Dept.of Materials Engineering and Convergence Technology > Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher Kim, Jung Gi photo

Kim, Jung Gi
대학원 (나노신소재융합공학과)
Read more

Altmetrics

Total Views & Downloads

BROWSE