A REAL TIME COAL CONTENT ORE GRADE (C2OG) SENSOR Page: 4 of 5
This report is part of the collection entitled: Office of Scientific & Technical Information Technical Reports and was provided to UNT Digital Library by the UNT Libraries Government Documents Department.
Extracted Text
The following text was automatically extracted from the image on this page using optical character recognition software:
3. Experimental and Operating Data.
A Masters thesis that utilized the imaging spectrometer was completed last
quarter [1]. This provided considerable experimental data. Now that this thesis is
complete, as noted above, the emphasis for this project has been redirected to improving
the apparatus. Consequently, there has been very little data collection this quarter.
Platinum/palladium ore was used primarily for the initial portion of this effort.
Now more effort is being devoted to coal and other materials. Coal samples have been
examined with the system, but results from are not yet available. One difficulty was noted
however; the coal samples were apparently taken directly from a stream that had already
had most of the impurities separated from it. Consequently, the samples are not providing
the impurities needed for analysis. Additional coal samples will be collected to remedy
this problem.
In addition to coal, samples of talc from Barrett's Minerals have been obtained as
have samples of impurities in titanium sponge from TTNIET. In both cases, the samples
obtained have undesirable impurities that need to be identified for removal. This is a
particularly difficult problem for titanium processing where they currently use manpower
to pick through the sponge samples to remove defects.
Once the machine vision system has been fully upgraded, additional
measurements on coal, talc, and titanium sponge will be made. Further investigations on
platinum/palladium ore may also be pursued, depending on the interest from Stillwater
Mining Co.
RESULTS AND DISCUSSION
4. Data Reduction.
With the efforts devoted to device improvement, no significant data reduction has
been done this quarter. Preliminary work has been done on coal samples, but nothing
conclusive has been discovered.
CONCLUSION
5. Hypothesis and Conclusions.
Results from the previous quarters, most notably the third quarter, indicate that a
machine vision system based on an imaging spectrometer and remote sensing software
can be used to classify ore. A serious drawback with the apparatus used for the first
portion of this effort is that data collection was slow and awkward. This has led to an
effort to improve the data collection system in several ways, including the mounting, the
imaging spectrometer itself, and the software for data collection. All three of these
directions are proceeding and it is anticipated this will greatly improve the system for
ongoing work that will be devoted to instrument fabrication and deployment.4
Upcoming Pages
Here’s what’s next.
Search Inside
This report can be searched. Note: Results may vary based on the legibility of text within the document.
Tools / Downloads
Get a copy of this page or view the extracted text.
Citing and Sharing
Basic information for referencing this web page. We also provide extended guidance on usage rights, references, copying or embedding.
Reference the current page of this Report.
Swanson, Dr. Rand. A REAL TIME COAL CONTENT ORE GRADE (C2OG) SENSOR, report, July 19, 2002; Pittsburgh, Pennsylvania. (https://digital.library.unt.edu/ark:/67531/metadc743125/m1/4/: accessed May 4, 2024), University of North Texas Libraries, UNT Digital Library, https://digital.library.unt.edu; crediting UNT Libraries Government Documents Department.