Digital image correlation studies for microscopic strain distribution and damage in dual phase steels
By Jidong Kang, Y. Ososkov, J. Embury, D. Wilkinson. 2007
325 citations recorded by the source corpus.
Subfields: Computer Vision and Pattern Recognition, Materials Chemistry, Mechanical Engineering
View Paper: https://www.semanticscholar.org/paper/fc6e39bf78805b8379e8916fab2dfd37cfe097a2
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In Materials Chemistry
In Mechanical Engineering
Citations in the corpus
- An Overview of Dual-Phase Steels: Advances in Microstructure-Oriented Processing and Micromechanically Guided Design (2015, background): “(77) showed that strain partitioning between ferrite and martensite can be significantly decreased by a tempering treatment, leading to an increase in the critical damage nucleation strain (Figure 10a).”
- Small-scale patterning methods for digital image correlation under scanning electron microscopy (2011, unknown): “The DIC technique has no inherent length scale, and thus is applicable to experiments covering a broad range of fields of view (FOVs) from civil structures [21] to the micro- and nano-scale [4, 5, 20, 22, 23].”
- Strain localization and damage in dual phase steels investigated by coupled in-situ deformation experiments and crystal plasticity simulations (2014, methodology): “Kapp et al. (2011), also focusing on a DP1000 steel, reported the severe heterogeneity of the strain distribution, which rises with increasing global deformation level.”