Journal
INTERNATIONAL JOURNAL OF PLASTICITY
Volume 155, Issue -, Pages -Publisher
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.ijplas.2022.103345
Keywords
Twinning; Detwinning; Digital image correlation; Crystal plasticity finite element; PRISMS-Plasticity; Magnesium
Funding
- U.S. Department of Energy, Office of Basic Energy Sciences, Division of Materials Sciences and Engineering as part of the Center for Predictive Integrated Structural Materials Science (PRISMS Center) at University of Michigan [DE-SC0008637]
- University of Michigan College of Engineering
- National Science Foundation [ACI-1548562]
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Deformation twinning and detwinning in extruded Mg-4Al were investigated using in-situ SEMDIC experiments and CPFE simulation. The study found a strong correlation between twin growth/shrinkage and the Schmid Factor. The CPFE model accurately captured the statistical aspects of both twinning and detwinning.
Deformation twinning and detwinning in extruded Mg-4Al were investigated using in-situ SEMDIC experiments and crystal plasticity finite element (CPFE) simulation. In this study, the in -situ SEM-DIC method was used to provide a unique set of data including twin/detwin characteristics and twin area fraction in addition to strain maps. A statistical analysis of the activation of twin variants and twin area fraction during both twinning and detwinning was conducted. A strong correlation was found between twin growth/shrinkage and the Schmid Factor (SF) for individual twin variants Higher twin SF during loading and unloading led to higher twin growth and shrinkage, respectively. However, after the applied compressive strain was removed, the pattern of the twin area fractions of the residual twin variants versus their nominal SFs did not follow the trend observed at the maximum compressive strain. Using a systematic methodology and an advanced twin/detwin model, the PRISMS-Plasticity CPFE simulation was calibrated using experimentally determined stress versus strain and twin area fraction versus strain information. A comprehensive evaluation of the CPFE model was conducted to determine its ability to capture the statistics of twin variants activation and twin area fraction. CPFE accurately captured the statistical aspects of both twinning and detwinning. It also predicted the first dominant twin variant for 47.5% of the grains and at least one of the two dominant twin variants for 80% of the grains at maximum compressive strain.
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