Materials and Manufacturing Processes · 2007 · 10 citations · 6 references
Natural SciencesMaterials EngineeringMaterials ScienceMaterials CharacterizationMetallurgyStructural MaterialsAustenite DecompositionImage AnalysisImage QualityImage Quality AssessmentMicrostructure AnalysisSteel MaterialsAustenite TransformationDiffraction Pattern AnalysisDislocation CharacterizationDislocation DensityDislocation Density EvolutionDislocation Structure AnalysisFerritic SteelsImage-based Microstructure Quantification
The image quality of the diffraction pattern from EBSD has been used as an index distinguishing the degree of lattice imperfection. Since austenite decomposition products formed at different transformation temperatures have various dislocation or sub-grain boundary densities, this technique has been used to identify, group, and quantify the different types of ferrite. This article presents a study where the dislocation density variation, associated with different cooling rates from the austenite in a commercial IF steel, will be analyzed using this image quality analysis. Perhaps the most significant contribution of this work is the new insight into the strengthening mechanisms found in these steels.
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Image Quality Analysis: A New Method of Characterizing Microstructures
Jinghui Wu, P. J. Wray, C. Isaac Garcia et al. · ISIJ International · 2005 · 241 citations · Full text
Natural Sciences, Materials Engineering, Materials Science +17