Additive manufacturing of alloys with programmable microstructure and properties

Page view(s)
202
Checked on Oct 04, 2024
Additive manufacturing of alloys with programmable microstructure and properties
Title:
Additive manufacturing of alloys with programmable microstructure and properties
Journal Title:
Nature Communications
Publication Date:
30 October 2023
Citation:
Gao, S., Li, Z., Van Petegem, S., Ge, J., Goel, S., Vas, J. V., Luzin, V., Hu, Z., Seet, H. L., Sanchez, D. F., Van Swygenhoven, H., Gao, H., & Seita, M. (2023). Additive manufacturing of alloys with programmable microstructure and properties. Nature Communications, 14(1). https://doi.org/10.1038/s41467-023-42326-y
Abstract:
AbstractIn metallurgy, mechanical deformation is essential to engineer the microstructure of metals and to tailor their mechanical properties. However, this practice is inapplicable to near-net-shape metal parts produced by additive manufacturing (AM), since it would irremediably compromise their carefully designed geometries. In this work, we show how to circumvent this limitation by controlling the dislocation density and thermal stability of a steel alloy produced by laser powder bed fusion (LPBF) technology. We show that by manipulating the alloy’s solidification structure, we can ‘program’ recrystallization upon heat treatment without using mechanical deformation. When employed site-specifically, our strategy enables designing and creating complex microstructure architectures that combine recrystallized and non-recrystallized regions with different microstructural features and properties. We show how this heterogeneity may be conducive to materials with superior performance compared to those with monolithic microstructure. Our work inspires the design of high-performance metal parts with artificially engineered microstructures by AM.
License type:
Attribution 4.0 International (CC BY 4.0)
Funding Info:
This research / project is supported by the Science and Engineering Research Council, Agency for Science, Technology and Research (A*STAR), Singapore - NA
Grant Reference no. : 142 68 00088

This research / project is supported by the A*STAR - Advanced Models for Additive Manufacturing (AM2)
Grant Reference no. : M22L2b0111

This research / project is supported by the National Research Foundation (NRF) - NRF Fellowship program
Grant Reference no. : NRF-NRFF2018-05
Description:
ISSN:
2041-1723