|
EBSD OIMTM Academy
Since the founders of TSL introduced Orientation Imaging Microscopy (OIMTM) in 1994; it has rapidly become a standard microstructural characterization tool in hundreds of facilities around the world. OIM’s flexible data collection and analysis tools are unparalleled, and the capabilities increase with each new version of OIMTM software.
To ensure that both new and experienced EDAX EBSD users get the most from their system, EDAX offers training by EDAX's expert instructors. In fact, we offer the best customer training in the industry at least that is what customers tell us.
EDAX's EBSD OIMTM Academy covers everything from the basics to advanced hands on operation including lectures, computer time, and microscope time. The course begins with an introduction to the crystallography concepts used in EBSD analysis and progress into hardware setup, operation, and calibration. The importance and optimization of sample preparation is introduced. The course then covers the specifics of EBSD acquisition including materials/phase files, indexing and scan strategies and some integrated capabilities with EDS are covered. These include Phase ID and ChI-Scan Mapping. Hands on usage are emphasized and attendees are encouraged to bring their own samples and laptops. The instructors will assist you in analyzing your sample data. The course concludes with specialized topics of interest including Texture analysis, 3D OIM, In-Situ EBSD and/or XRD comparisons to EBSD. Select to register on line. Training time is from 9:00 AM to 5:00 PM.
The following schedule contains a brief description of the topics that will be covered during the three day course:
Day 1
-
Crystallography Concepts used in EBSD
-
Sample Preparation
-
Hardware Setup and Operation
-
OIMTM Data Collection-Calibration
-
Indexing
-
Material Files
-
Scan Strategies
Day 2
- Interactive Analysis on the SEM
- Phase ID
- OIMTM Analysis-Maps
- Plots
- Charts
- Interactive Point and Click Analysis
Day 3
- Cross Correlation and Partitioning of data
- Multi-phase analysis
- Data cleanup
- Multi-dataset analysis
- Report Strategies
- Putting it all together
- Discussion and wrap up
|
 |
|