Prakt. Met. Sonderband 46 (2014) 217
;arriers their
rogramming
| processing
of an edge
er produces
urs between
ry image is
>ssion of the
xd. With this
(e.g. out of
bright areas
routine like
hresholding.
3, saturation
r reflections
vde/dilate or
Fig. 2: Danielsson distance map from a binary image.
Depending on the reducibility of each phase an assured number of shells is excluded from
one calculation step to the next, starting at the border of the phases. The remaining area is
measured. This simulates the progress of the reduction front in a certain period of time
For pellets which is distinctive for every mineral phase [2]. For each of these calculation steps the
i pores are removed area is displayed as diagram (amount of steps/ cum. removed area). The results
> by image. correlate with the reduction progress (time/ reduction grade) as measured with standard
of Cavalieri reduction tests for the same samples performed at the Department of Metallurgy.
The pellet evaluation is based on a pore size distribution model. The pore area is
measured and the diameter of a coextensive circle is calculated. The result is displayed as
a cumulative distribution diagram (equivalent diameter/ relative frequency). Compared to
the reduction curves from standard reduction tests the performance of pellet samples is
assumed to be positively influenced by a high amount of large pores.
5. SUMMARY
Semi-automated image processing is a tool for the evaluation of lump iron ore and pellets
in terms of their reduction performance. With defined algorithms it is possible to get
information about mineralogy and quality parameters. After identification of the mineral
phases a concentric phase front movement simulates the progress of the reduction front
for lump ore. A statistical analysis of the equivalent pore diameter of pellets shows
correlation with results from the standard reduction tests.
- glass) of a
ACKNOWLEDGMENTS
rocess by a This is a contribution to the K1-MET project (Competence Center for Excellent
el value of a Technologies in Advanced Metallurgical and Environmental Process Development) of the
he border of Austrian Research Promotion Agency (FFG). Support by Siemens VAI Metals
m border to Technologies Linz, voestalpine Stahl Linz and voestalpine Stahl Donawitz is gratefully
“ig. 2). acknowledged.