Additive manufacturing of alloys with programmable microstructure and properties

  • Shubo Gao
  • , Zhi Li
  • , Steven Van Petegem
  • , Junyu Ge
  • , Sneha Goel
  • , Joseph Vimal Vas
  • , Vladimir Luzin
  • , Zhiheng Hu
  • , Hang Li Seet
  • , Dario Ferreira Sanchez
  • , Helena Van Swygenhoven
  • , Huajian Gao
  • , Matteo Seita*
  • *Corresponding author for this work

Research output: Contribution to journalArticleScientificpeer-review

139 Citations (Scopus)

Abstract

In 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.
Original languageEnglish
Article number6752
JournalNature Communications
Volume14
Issue number1
DOIs
Publication statusPublished - Dec 2023
MoE publication typeA1 Journal article-refereed

Funding

This research was funded by the National Research Foundation (NRF) Singapore, under the NRF Fellowship program (NRF-NRFF2018-05). S.V.P. acknowledges support from the Swiss National Science Foundation (SNF Sinergia 193799). H.L.S. acknowledges support from the Science and Engineering Research Council, Agency for Science, Technology and Research (A*STAR), Singapore (142 68 00088). H.G. acknowledges support from Advanced Models for Additive Manufacturing (AM2) program under A*STAR (M22L2b0111) and support as a Distinguished University Professor of NTU and Scientific Director of Institute of High Performance Computing of the A*STAR, Singapore.

Fingerprint

Dive into the research topics of 'Additive manufacturing of alloys with programmable microstructure and properties'. Together they form a unique fingerprint.

Cite this