Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Image Processing of Porous Structures in Iron Ore Pellets
2012 (English)Independent thesis Advanced level (professional degree), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

In this thesis, image processing tools are used for analysing properties of iron ore pellets, with the goal of increased understanding of the balling process used in pellet production. Two different types of data are examined to study different aspects of the porosity in pellets.The first type of data, scanning electron microscopy images of pellet cross sections, is used for anaylsing tunnel porosity structures. An improvement to an existing analysis method for calculating the porosity network tunnel widths has been implemented.The improvements presented in this thesis does not significantly alter the end results of the analysis, since the differences in measured tunnel widths are only improved by a relatively small fraction. The actual distribution of the measured tunnel widths is not affected. The methods were tested in various way to highlight the performance in specific situations.The second type of data is 3D X-ray microtomography images of pellets. The images are analysed with the intent of labelling regions of the pellet as either a part of the pellet core or the pellet shell. Multiple convolutions, in a spherical coordinate representation of the pellet, are used to filter out and clarify regions that resemble a layered structure with locally varying porosity.The layered structures are to a greater extent present in the shell compared to the core.The presented method can not, by itself, make a clear distinction between the core and the shell – instead it turned out to be a tool more suitable for visually examining layered structures in pellets. Extensive work was done to test and validate the performance of the method.

Place, publisher, year, edition, pages
2012. , 72 p.
Keyword [en]
Technology, Porosity, iron ore pellets, image processing, moving average, 3D x-ray microtomography, porous structures, layers, balling
Keyword [sv]
Teknik
Identifiers
URN: urn:nbn:se:ltu:diva-51428Local ID: 8a1d0bf0-7328-43e8-9b7f-87fa737d7fefOAI: oai:DiVA.org:ltu-51428DiVA: diva2:1024789
Subject / course
Student thesis, at least 30 credits
Educational program
Computer Science and Engineering, master's level
Supervisors
Note
Validerat; 20120305 (anonymous)Available from: 2016-10-04 Created: 2016-10-04Bibliographically approved

Open Access in DiVA

fulltext(19757 kB)29 downloads
File information
File name FULLTEXT02.pdfFile size 19757 kBChecksum SHA-512
f59a649a7df6c0ae03f2d117e9b4f8d200019643e1dc5a3ced3571818bf0399bc753663c9f5580925f6c2100d746bd9568182e38bfea24363aa8c1c4063028cd
Type fulltextMimetype application/pdf

Search in DiVA

By author/editor
Hernnäs, Harald

Search outside of DiVA

GoogleGoogle Scholar
Total: 29 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

urn-nbn

Altmetric score

urn-nbn
Total: 20 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf