TY - JOUR
T1 - Quantifying the effects of grain refiners (AlTiB and Y) on microstructure and properties in W319 alloys
AU - Liu, Xinxiu
AU - Wang, Bing
AU - Li, Quan
AU - Wang, Junsheng
AU - Xue, Chengpeng
AU - Yang, Xinghai
AU - Tian, Guangyuan
AU - Chang, Xiaoxue
AU - Liu, Xiaoguang
N1 - Publisher Copyright:
© 2022 Elsevier Ltd
PY - 2022/12
Y1 - 2022/12
N2 - For aluminum alloys, grain refinement is the most efficient method to improve both strength and ductility. However, this rule may not apply for the recycled Al due to the large amount of intermetallics. In this paper, both secondary dendritic arm spacing (SDAS) and intermetallics have been quantified as a function of grain refinements including traditional AlTiB and most recent Y refiners. Using U-net CNN machine learning algorithm, both Fe-rich intermetallics and eutectic Si have been successfully segmented from optical and SEM/EDS images. Different from traditional refiners, (AlTiB + Y) not only strengthens the refining ability but also reduces the percentage of harmful needle-like Fe-rich intermetallics and transforms flaky Si particles into fibrous morphology. Harvested from the comprehensive grain refiners, SDAS was reduced by 38.9%, the average equivalent diameter of eutectic Si was reduced by 37.9%, and Fe-rich intermetallics content was significantly reduced. In particular, the microstructure improved by AlTiB+ 0.05Y (0.6 wt% AlTiB + 0.3 wt%Y) resulted in an increase in elongation of the refined alloy to 3.9 ± 0.4%, which is 63.3% higher compared to the base alloy, while the UTS remained at the original 260 MPa. This paper offers a promising refining technology for the recycling and casting of Al-Si alloys.
AB - For aluminum alloys, grain refinement is the most efficient method to improve both strength and ductility. However, this rule may not apply for the recycled Al due to the large amount of intermetallics. In this paper, both secondary dendritic arm spacing (SDAS) and intermetallics have been quantified as a function of grain refinements including traditional AlTiB and most recent Y refiners. Using U-net CNN machine learning algorithm, both Fe-rich intermetallics and eutectic Si have been successfully segmented from optical and SEM/EDS images. Different from traditional refiners, (AlTiB + Y) not only strengthens the refining ability but also reduces the percentage of harmful needle-like Fe-rich intermetallics and transforms flaky Si particles into fibrous morphology. Harvested from the comprehensive grain refiners, SDAS was reduced by 38.9%, the average equivalent diameter of eutectic Si was reduced by 37.9%, and Fe-rich intermetallics content was significantly reduced. In particular, the microstructure improved by AlTiB+ 0.05Y (0.6 wt% AlTiB + 0.3 wt%Y) resulted in an increase in elongation of the refined alloy to 3.9 ± 0.4%, which is 63.3% higher compared to the base alloy, while the UTS remained at the original 260 MPa. This paper offers a promising refining technology for the recycling and casting of Al-Si alloys.
KW - Al alloy
KW - AlTiB
KW - Fe-rich intermetallics
KW - Thermodynamics
KW - U-net CNN
KW - Y
UR - http://www.scopus.com/inward/record.url?scp=85140287927&partnerID=8YFLogxK
U2 - 10.1016/j.mtcomm.2022.104671
DO - 10.1016/j.mtcomm.2022.104671
M3 - Article
AN - SCOPUS:85140287927
SN - 2352-4928
VL - 33
JO - Materials Today Communications
JF - Materials Today Communications
M1 - 104671
ER -