Strain hardening engineering via grain size control in laser powder-bed fusion (2022)
- Authors:
- Autor USP: SANDIM, HUGO RICARDO ZSCHOMMLER - EEL
- Unidade: EEL
- DOI: 10.1016/j.msea.2022.142773
- Subjects: DEFORMAÇÃO ESTRUTURAL; DEFORMAÇÃO E ESTRESSES; PLASTICIDADE DAS ESTRUTURAS; MECÂNICA DA FRATURA
- Keywords: Additive manufacturing; Stainless steel; Strain hardening engineering; Twinning; Transformation induced plasticity
- Agências de fomento:
- Language: Inglês
- Abstract: The ultimate goal for structural materials is achieving both high strength and ductility. However, increasing one of these properties usually decrease the other, resulting in the so-called strength-ductility trade-off. According to the Considère criterion, increased strain hardening rates are demanded at higher strains to prevent necking and strain localization. This study reports a novel approach based on strain hardening engineering in a laser powder-bed fusion (LPBF) 304 L stainless steel deformed by tensile testing. The nucleation of αʹ-martensite directly from austenite (γ) was observed without the formation of the intermediate ε-phase. Both fine (11 μm) and coarse (93 μm) grains initially undergo dislocation slip and stacking fault formation in the as-built cellular structure up to a logarithmic strain (ε) of 0.05. Fine austenite grains exhibit αʹ-martensite growing along the extended stacking fault bands (ε > 0.05), while coarse <110> || LD (loading direction) oriented γ-grains primarily accommodate the imposed macroscopic strain via twinning (0.2 > ε > 0.05), followed by martensitic transformation or activation of other twinning systems (ε > 0.2). Deformation twinning is hindered within fine grains due to a (1) higher twinning activation stress and (2) an unfavorable crystallographic orientation. The hierarchical deformation reported for 304 L stainless steel is crucial for component and alloy-for-LPBF design. This study reveals the possibility of using LPBF for strain hardening engineering through grain size control, triggering the hierarchical deformation (and their interaction) in each grain family. As a result, high-strength and ductile alloys may be obtained by exploring this novel processing approach.
- Imprenta:
- Source:
- Título: Materials science and engineering a-structural materials properties microstructure and processing
- ISSN: 09215093
- Volume/Número/Paginação/Ano: v.838, p.142773-, 2022
- Este periódico é de assinatura
- Este artigo NÃO é de acesso aberto
- Cor do Acesso Aberto: closed
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ABNT
AOTA, L. S et al. Strain hardening engineering via grain size control in laser powder-bed fusion. Materials science and engineering a-structural materials properties microstructure and processing, v. 838, p. 142773-, 2022Tradução . . Disponível em: https://doi.org/10.1016/j.msea.2022.142773. Acesso em: 28 dez. 2025. -
APA
Aota, L. S., Souza Filho, I. R. de, Roscher, M., Ponge, D., & Sandim, H. R. Z. (2022). Strain hardening engineering via grain size control in laser powder-bed fusion. Materials science and engineering a-structural materials properties microstructure and processing, 838, 142773-. doi:10.1016/j.msea.2022.142773 -
NLM
Aota LS, Souza Filho IR de, Roscher M, Ponge D, Sandim HRZ. Strain hardening engineering via grain size control in laser powder-bed fusion [Internet]. Materials science and engineering a-structural materials properties microstructure and processing. 2022 ;838 142773-.[citado 2025 dez. 28 ] Available from: https://doi.org/10.1016/j.msea.2022.142773 -
Vancouver
Aota LS, Souza Filho IR de, Roscher M, Ponge D, Sandim HRZ. Strain hardening engineering via grain size control in laser powder-bed fusion [Internet]. Materials science and engineering a-structural materials properties microstructure and processing. 2022 ;838 142773-.[citado 2025 dez. 28 ] Available from: https://doi.org/10.1016/j.msea.2022.142773 - Recrystallization kinetics, mechanisms, and topology in alloys processed by laser powder-bed fusion: AISI 316L stainless steel as example
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Informações sobre o DOI: 10.1016/j.msea.2022.142773 (Fonte: oaDOI API)
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