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3 results for “Dual Phase Steels”
Strain path change characterization of dual-phase steel (DP780) using non-linear strain path experiments: true strain-stress and equivalent strain-stress data
<p>Strain path change characterization of dual-phase steel (DP780) using non-linear strain path experiments: true strain-stress and equivalent strain-stress data.</p>
Three-Dimensional Characterization of Deformation-induced Damage in Dual Phase Steel using Deep Learning
<p>High performance sheet metals with a multi-phase microstructure suffer from deformation induced damage formation during forming in the constituent phases but importantly also where these intersect. To capture damage in terms of the physical processes in three dimensions (3D) and its stochastic nature during deformation, two challenges remain to be tackled: First, bridging high resolution analysis towards large scales to consider statistical data and, second, characterising in 3D with a resolution appropriate for sub-micron sized voids at a large scale. Here, we present how this can be achieved using panoramic scanning electron microscopy (SEM), metallographic serial sectioning, and deep-learning assisted automatic image analysis. This brings together the 3D evolution of active damage mechanisms with volumetric and environmental information for thousands of individual damage sites. We also assess potential surface preparation artefacts in 2D analyses. Overall, we find that for the material considered here, a dual phase (DP800) steel, martensite cracking is the dominant but not sole origin of deformation induced damage and that for a quantitative comparison of damage density, metallographic preparation can induce additional surface damage density far exceeding what is commonly induced between uniaxial straining steps.</p> <p>https://doi.org/10.1016/j.matdes.2023.112108</p>
High Throughput Exploration of Structure-Property Linkages in Dual Phase Steel
<p>Structure property linkage was studied in this research on a dual phase steel through microindentation and different microstructural characterization techniques; EBSD, SEM. A combination of intercritical annealing temperature and bake hardening provides nine different microstructures and as a result different strength values. Three intercritical temperatures result in different volume fractions of martensite. Additional cold work of 5 and 10 % thickness reduction followed by bake hardening is another parameter which results in strengthening. Samples were labeled in the format of aaa-bb-ccc; where aaa, bb, ccc represent intercritical annealing temperature, amount of cold work, and temperature of bake hardening respectively. The data set includes three kind of data: SEM images, EBSD scans, and microindebtation. Each folder set contains raw data and metadata related to testing settings. Quantification of microstructure is done using two point correlation and principle component analysis to find most important microstructural features in this material. Indentation strength for each processing paths were measured using spherical indentation technique. </p>
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