
Today’s micro-imaging analysis software systems provide users with a module-based approach that allows imaging and measurement to be customized to specific workflow environments. This type of interface flexibility also enables higher levels of automation and standardization — facilities no longer need to rely on small groups of microscopy experts to handle their imaging and analysis tasks. Today, guided, automated functionality based on specific software modules allows larger numbers of staff members to manage the creation, analysis, and distribution of material images. These modules are particularly useful in metallography applications, guiding users through every step of the image analysis process.
Specialized Metallography Modules
Today’s module-based imaging software can be purchased in a variety of set-module packages, or specific application modules can be purchased as needed. Designed to allow efficient image capture and adjustment, measurement, report creation, and archiving, specialized metallography modules include:
Particle Distribution Modules
Particle distribution modules (see Figure 1) allow the creation
of particle-size distribution histograms from a series of
images using different sources (live image, existing images,
stitched images). Users can select various types of measurement
parameters and produce a graphic representation of
particle distribution according to user-defined bins or international
standard classifications.
Phase Analysis Modules
Phase analysis modules allow operators to perform phase
analysis on selected Regions of Interest (ROIs) including triangles,
circles, rectangles, and polygons. Results can then be cumulated
on multiple images.
Porosity Modules
Porosity modules are designed for the measurement of
pores, whether an area fraction or a number of pores on surface.
Designed to automatically calculate pore density, porosity
modules also allow the user to select only a certain range of
pore sizes in order to achieve the necessary reproducibility.
Grains Intercept Modules
Grains intercept modules assist steel manufacturers in measuring
and controlling grain size after cross-sectioning, polishing,
or etching steel samples. Grains intercept modules can automatically
calculate standardized American Society for Testing
and Materials (ASTM) grain size numbers by the intercept
method without any time-consuming manual input.
Grains Planimetric Modules
Also designed for steel manufacturers measuring and controlling
grain size after cross-sectioning, polishing, or etching
samples, grains planimetric modules calculate ASTM grain size
numbers by the planimetric method.
Chart Comparison Modules
With chart comparison modules, a live or still image can be
compared with standard charts using overlay comparisons.
Chart comparison modules are ideal for ASTM grain size number
evaluation, nonmetallic inclusion rating, and cast-iron
shape class evaluation. They can also be used for the examination
of carbide structures in steel.
Inclusions Worst Field Modules
Inclusions worst field modules are designed for steel manufacturers
measuring and controlling the shape and size of nonmetallic
inclusions (oxide, alumina, sulphide, or silicate) in
steel.
Cast Iron Modules
Cast iron modules are used by casting manufacturers to
measure and control graphite nodularity to check the mechanical
characteristics of their cast products. Nodularity can be calculated
by graphite size, shape, and distribution.
Layer Thickness Modules
One or multiple layers of a cross-sectioned sample can be
measured using layer thickness modules, which define shapes
and automatically measure layers. Layer thickness modules are
used for a variety of applications including the evaluation of
paint-coating thickness and layer thickness of multilayer materials
such as composite plastics.
Throwing Power Modules
Throwing power modules measure the distribution of copper
plating thickness in through-holes or micro-vias. These
modules guide the printed circuit board (PCB) quality examiner
through all necessary measurements needed for determining
dimple depth.