Strain rate-induced crystallographic texture development in tensile deformation of a rapidly solidified thin-strip cast AA5182 Al-Mg alloy

This study investigates the evolution of ultimate crystallographic texture in AA5182 Al-Mg alloy under uniaxial tensile deformation at quasi-static strain rates (10 −3 and 10 −1 s −1 ), focusing on two casting routes of thin-strip (TS) and direct-chill (DC) casting. The TS sample, solidified at ∼10 3 K/s, exhibited an initial average grain size of 49.7 μm, significantly finer than the 114.5 μm observed in the DC counterpart solidified at a cooling rate of ∼10 1 –10 2 K/s. The fraction of intermetallic particles in the TS sample (∼2.74 %) was markedly lower than in the DC sample (∼6.07 %), contributing to enhanced solute supersaturation and reduced strain localization, which is linked to a lower frequency of low-angle misorientations within the matrix. Texture analysis revealed that TS samples experienced an approximately 28 % increase in texture index (from 1.32 to 1.69) with increasing strain rate, compared to a 15 % rise in DC samples (from 1.75 to 2.01), indicating more pronounced strain-induced texture development in the TS sample. Taylor factor (M) analysis showed a greater fraction of favorably oriented grains (M ≤ 2.5) in as-cast TS samples, increasing from 11.5 % to 14.0 % after deformation, compared to an increase from 7.5 % to 14.6 % in the DC samples. However, the DC sample exhibited greater strain localization and a higher kernel average misorientation (KAM, 0.83 vs. 0.67), consistent with its higher density of intergranular/interdendritic intermetallic particles and coarser structure. It was demonstrated that in the TS sample, strain accommodation primarily occurred through grain rotation and dislocation annihilation, facilitated by lower particle density and higher solute supersaturation. By contrast, the DC sample accommodated strain mainly through dislocation pile-ups and boundary-mediated mechanisms, resulting in more constrained deformation behavior. The unique microstructure in the TS sample enabled a broader range of grain rotation trajectories, resulting in a higher number of distinct texture evolution pathways. These findings underscore the critical role of casting routes in governing texture development and highlight the superior potential of the TS sample for enhanced ductility and formability under dynamic loading conditions.

Authors

Institutions

Publication Details

Journal
Materials Science and Engineering A
Published
2025-08-25
DOI
https://doi.org/10.1016/j.msea.2025.149010
Citations
8
Primary Topic
Aluminum Alloy Microstructure Properties
Type
article
Field-Weighted Citation Impact
39.95
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Strain rate-induced crystallographic texture development in tensile deformation of a rapidly solidified thin-strip cast AA5182 Al-Mg alloy

Vahid Fallah, Hesam Pouraliakbar, Johan Moverare, Andrew Howells et al.
8 citations
Materials Science and Engineering A
Aluminum Alloy Microstructure Properties
39.95
article

Strain rate-induced crystallographic texture development in tensile deformation of a rapidly solidified thin-strip cast AA5182 Al-Mg alloy

Vahid Fallah, Hesam Pouraliakbar, Johan Moverare, Andrew Howells, Mark Gallerneault, Mohammad Reza Jandaghi
article en
8 citations

Abstract

This study investigates the evolution of ultimate crystallographic texture in AA5182 Al-Mg alloy under uniaxial tensile deformation at quasi-static strain rates (10 −3 and 10 −1 s −1 ), focusing on two casting routes of thin-strip (TS) and direct-chill (DC) casting. The TS sample, solidified at ∼10 3 K/s, exhibited an initial average grain size of 49.7 μm, significantly finer than the 114.5 μm observed in the DC counterpart solidified at a cooling rate of ∼10 1 –10 2 K/s. The fraction of intermetallic particles in the TS sample (∼2.74 %) was markedly lower than in the DC sample (∼6.07 %), contributing to enhanced solute supersaturation and reduced strain localization, which is linked to a lower frequency of low-angle misorientations within the matrix. Texture analysis revealed that TS samples experienced an approximately 28 % increase in texture index (from 1.32 to 1.69) with increasing strain rate, compared to a 15 % rise in DC samples (from 1.75 to 2.01), indicating more pronounced strain-induced texture development in the TS sample. Taylor factor (M) analysis showed a greater fraction of favorably oriented grains (M ≤ 2.5) in as-cast TS samples, increasing from 11.5 % to 14.0 % after deformation, compared to an increase from 7.5 % to 14.6 % in the DC samples. However, the DC sample exhibited greater strain localization and a higher kernel average misorientation (KAM, 0.83 vs. 0.67), consistent with its higher density of intergranular/interdendritic intermetallic particles and coarser structure. It was demonstrated that in the TS sample, strain accommodation primarily occurred through grain rotation and dislocation annihilation, facilitated by lower particle density and higher solute supersaturation. By contrast, the DC sample accommodated strain mainly through dislocation pile-ups and boundary-mediated mechanisms, resulting in more constrained deformation behavior. The unique microstructure in the TS sample enabled a broader range of grain rotation trajectories, resulting in a higher number of distinct texture evolution pathways. These findings underscore the critical role of casting routes in governing texture development and highlight the superior potential of the TS sample for enhanced ductility and formability under dynamic loading conditions.

Materials Science and Engineering AVol. 945
Linköping University (SE), Queen's University (CA)
Openalex Percentile: Top 0%
Aluminum Alloy Microstructure Properties
39.95
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.