2011
DOI: 10.1016/j.powtec.2011.08.028
|View full text |Cite
|
Sign up to set email alerts
|

Quantitative image analysis of bubble cavities in iron ore green pellets

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
4

Citation Types

1
5
0

Year Published

2013
2013
2018
2018

Publication Types

Select...
7

Relationship

0
7

Authors

Journals

citations
Cited by 19 publications
(6 citation statements)
references
References 10 publications
1
5
0
Order By: Relevance
“…Image analysis software can correct for minor shifts in processing parameters with respect to contrast and illumination, but sample preparation can dramatically impact the automated results. Alterations of pore shape near the cross-section face as a result of grinding and polishing prevent pores in ceramic materials from being measured absolutely; however, measuring the porosity of metallic materials through digital image analysis of micrographs is well-established and convenient [1]. Automated porosity identification routines generally involve a histogram analysis illustrating the distribution of shades of gray [1].…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…Image analysis software can correct for minor shifts in processing parameters with respect to contrast and illumination, but sample preparation can dramatically impact the automated results. Alterations of pore shape near the cross-section face as a result of grinding and polishing prevent pores in ceramic materials from being measured absolutely; however, measuring the porosity of metallic materials through digital image analysis of micrographs is well-established and convenient [1]. Automated porosity identification routines generally involve a histogram analysis illustrating the distribution of shades of gray [1].…”
Section: Introductionmentioning
confidence: 99%
“…Alterations of pore shape near the cross-section face as a result of grinding and polishing prevent pores in ceramic materials from being measured absolutely; however, measuring the porosity of metallic materials through digital image analysis of micrographs is well-established and convenient [1]. Automated porosity identification routines generally involve a histogram analysis illustrating the distribution of shades of gray [1]. The frequency of pixel distributions along a scale of brightness intensities ranging from 0 (black) to 255 (white) are used for segmentation (binarization of an image into regions of interest) based on objective criteria [9].…”
Section: Introductionmentioning
confidence: 99%
“…26 Iron ore pellets mainly contain iron in the form of sintered hematite bodies showing a porosity of about 35%, but they also contain different additives and binders such as bentonite. 27 Because of the variability of the mechanical strength of the iron oxide pellets, some of the produced pellets break during the process and transportation. 28 For a low breakability rate such as 1% (the real breakability rate is unknown), which is a reasonable number, the generation of broken pellets would be up to 2.2 kt/year.…”
Section: Introductionmentioning
confidence: 99%
“…Luossavaara-Kiirunavaara AB (LKAB) produced about 22 Mt of iron ore pellets in 2012 . Iron ore pellets mainly contain iron in the form of sintered hematite bodies showing a porosity of about 35%, but they also contain different additives and binders such as bentonite . Because of the variability of the mechanical strength of the iron oxide pellets, some of the produced pellets break during the process and transportation .…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation