QUANTITATIVE CHARACTERIZATION OF MICROSTRUCTURE OF PURE COPPER PROCESSED BY ECAP

Authors

  • Ondřej Šedivý Department of Probability and Mathematical Statistics, Faculty of Mathematics and Physics, Charles University in Prague
  • Viktor Beneš Department of Probability and Mathematical Statistics, Faculty of Mathematics and Physics, Charles University in Prague
  • Petr Ponížil Centre of Polymer Systems and Department of Physics and Material Engineering, Faculty of Technology, Tomas Bata University in Zlín
  • Petr Král Institute of Physics of Materials, Academy of Sciences of the Czech Republic
  • Václav Sklenička Institute of Physics of Materials, Academy of Sciences of the Czech Republic

DOI:

https://doi.org/10.5566/ias.v32.p65-75

Keywords:

electron backscattered diffraction, equal-channel angular pressing, random marked sets, second-order analysis

Abstract

Orientation imaging microscopy (OIM) allows to measure crystallic orientations at the surface of the material. Digitalized data representing the orientations are processed to recognize the grain structure and they are visualized in crystal orientation maps. Analysis of the data firstly consists in recognition of grain boundaries followed by identification of grains themselves. Knowing the grain morphology it is possible to characterize the homogeneity of the structure and estimate structural parameters related to the physical properties of the material. The paper describes methods of imaging and quantitative characterization of the grain boundary structure in metals based on data from electron backscattered diffraction (EBSD).

References

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Král P, Dvořák J, Kvapilová M, Svoboda M, Beneš V, Ponížil P, Šedivý O, Sklenička V (2011). Quantitative Characterization of Microstructure in Copper Processed by Equal–Channel Angular

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Published

2013-06-27

Issue

Vol. 32 No. 2 (2013)

Section

Original Research Paper

How to Cite

Šedivý, O., Beneš, V., Ponížil, P., Král, P., & Sklenička, V. (2013). QUANTITATIVE CHARACTERIZATION OF MICROSTRUCTURE OF PURE COPPER PROCESSED BY ECAP. Image Analysis and Stereology, 32(2), 65-75. https://doi.org/10.5566/ias.v32.p65-75

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