Application of electron back scatter diffraction in analysis of phase transformations and deformation

Learning objectives

To understand the possibilities and limitations of Electron Backscatter Diffraction


Basic introduction to quantitative texture analysis

  • Operational principles of EBSD, including sample preparation
  • Orientation mapping for characterisation of multiphase metals
  • Analysis of plastic deformation and damage
  • New methods for orientation mapping: transmission Kikuchi diffraction in SEM ,automatic crystal orientation mapping in TEM, 3D-EBSD in FIB and in large-scalescans.

Required background

  • Principles of crystallography, defects and texture
  • Principles of Scanning Electron Microscopy
  • Principles of phase transformations and plastic deformation in metals

Course material

1.Valery Randle and Olaf Engler, Introduction to Texture Analysis: Macrotexture,Microtexture and Orientation Mapping, Overseas Publishers Association, NY (2000), ISBN: 90-5699-224-4.
2.Roumen Petrov and Leo Kestens, Advanced steels – Characterisation by EBSD,Encyclopedia of Iron, Steel, and Their Alloys DOI: 10.1081/E-EISA-120050786 Copyright © 2015 by Taylor & Francis.
3.Lecture presentations

1.Electron Backscatter Diffraction in Materials Science, second edition, Editors:Adam J. Schwartz · Mukul Kumar · Brent L. Adams · David P. Field, [1]c Springer Science & Business Media, LLC 2009, ISBN 978-0-387-88135-5 e-ISBN 978-0-387-88136-2.

ECTS credits:

Prof.Dr. Roumen Petrov, Prof.Dr.Ir. Leo Kestens

Course dates:
The course will be offered on the following days: 

  1. Tuesday April 25
  2. Tuesday May 2
  3. Thursday May 4
  4. Tuesday May 9
  5. Thursday May 11

Time: from 11:15 - 13:45 hrs


Faculty 3mE (Building 34)

Room: H-3-190

Group sizes:
The course will be offered for a minimum of 5 participants and a maximum of 15 participants per session. If there are less than 5 participants there will be a more flexible schedule and the course will be taught online. Access will be on a first come first served basis.

Individual practical tasks combining setting a measurement and data post-processing.

PhD candidates wishing to participate should contact Prof.Dr. Roumen Petrov by email ( at least one week before the start of the course, indicating their primary study, supervisor/promotor and preferred start date.