Electron Backscatter Diffraction in Materials Science

Przednia okładka
Adam J. Schwartz, Mukul Kumar, Brent L. Adams, David P. Field
Springer Science & Business Media, 29 cze 2013 - 339
Crystallographic texture or preferred orientation has long been known to strongly influence material properties. Historically, the means of obtaining such texture data has been though the use of x-ray or neutron diffraction for bulk texture measurements, or transmission electron microscopy or electron channeling for local crystallographic information. In recent years, we have seen the emergence of a new characterization technique for probing the microtexture of materials. This advance has come about primarily through the automated indexing of electron backscatter diffraction (EBSD) patterns. The first commercially available system was introduced in 1994, and since then of sales worldwide has been dramatic. This has accompanied widening the growth applicability in materials scienceproblems such as microtexture, phase identification, grain boundary character distribution, deformation microstructures, etc. and is evidence that this technique can, in some cases, replace more time-consuming transmission electron microscope (TEM) or x-ray diffraction investigations. The benefits lie in the fact that the spatial resolution on new field emission scanning electron microscopes (SEM) can approach 50 nm, but spatial extent can be as large a centimeter or greater with a computer controlled stage and montagingofthe images. Additional benefits include the relative ease and low costofattaching EBSD hardware to new or existing SEMs. Electron backscatter diffraction is also known as backscatter Kikuchi diffraction (BKD), or electron backscatter pattern technique (EBSP). Commercial names for the automation include Orientation Imaging Microscopy (OIMTM) and Automated Crystal Orientation Mapping (ACOM).
 

Spis treści

THE DEVELOPMENT OF AUTOMATED DIFFRACTION
1
1
9
THEORETICAL FRAMEWORK FOR ELECTRON BACKSCATTER
16
3
23
5
30
2
40
7
47
3
53
USE OF EBSD DATA IN MESOSCALE NUMERICAL ANALYSES
181
CHARACTERIZATION OF DEFORMED MICROSTRUCTURES
199
ANISOTROPIC PLASTICITY MODELING INCORPORATING EBSD
213
76
222
MEASURING STRAINS USING ELECTRON BACKSCATTER
231
78
238
MAPPING RESIDUAL PLASTIC STRAIN IN MATERIALS USING
247
88
249

7
61
6
71
3
78
5
84
8
91
BUYING A SYSTEM
123
AN AUTOMATED EBSD ACQUISTION AND PROCESSING SYSTEM
135
ADVANCED SOFTWARE CAPABILITIES FOR AUTOMATED EBSD
141
75
150
STRATEGIES FOR ANALYZING EBSD DATASETS
153
EBSD CONTRA TEM CHARACTERIZATION OF A DEFORMED
265
91
272
CONTINUOUS RECRYSTALLIZATION AND GRAIN BOUNDARIES
277
ANALYSIS OF FACETS AND OTHER SURFACES USING
291
EBSD OF CERAMIC MATERIALS
299
GRAIN BOUNDARY CHARACTER BASED DESIGN
319
92
323
INDEX
337
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