Blast fragmentation model evaluation via image analysis

Martin L. Smith, John M Kemeny

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Citations (Scopus)

Abstract

In blasting, an optimal muckpile size distribution can be found in terms of mining and milling productivity and cost. Fragmentation control requires a means of modeling and evaluating blast results. A principle problem in the practical application of empirical blast fragmentation modeling is the evaluation of the muckpile's size distribution. Image analysis of video and photographic records of production size blasts at Cyprus's Miami and Thompson Creek mines is being used to provide data for estimating parameters relating fragmentation to blast design, energy factor and rock quality. The application of image analysis to the estimation of particle size distribution is reviewed with regards to the problem of fragmentation modeling.

Original languageEnglish (US)
Title of host publicationEmerging Computer Techniques for the Minerals Industry
PublisherPubl by Soc for Mining, Metallurgy & Exploration Inc
Pages229-238
Number of pages10
ISBN (Print)0873351231
StatePublished - 1993
Externally publishedYes
EventSymposium on Emerging Computer Techniques for the Minerals Industry - Tuscaloosa, AL, USA
Duration: Feb 1 1993Feb 1 1993

Other

OtherSymposium on Emerging Computer Techniques for the Minerals Industry
CityTuscaloosa, AL, USA
Period2/1/932/1/93

Fingerprint

Image analysis
Blasting
Particle size analysis
Productivity
Rocks
Costs

ASJC Scopus subject areas

  • Engineering(all)

Cite this

Smith, M. L., & Kemeny, J. M. (1993). Blast fragmentation model evaluation via image analysis. In Emerging Computer Techniques for the Minerals Industry (pp. 229-238). Publ by Soc for Mining, Metallurgy & Exploration Inc.

Blast fragmentation model evaluation via image analysis. / Smith, Martin L.; Kemeny, John M.

Emerging Computer Techniques for the Minerals Industry. Publ by Soc for Mining, Metallurgy & Exploration Inc, 1993. p. 229-238.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Smith, ML & Kemeny, JM 1993, Blast fragmentation model evaluation via image analysis. in Emerging Computer Techniques for the Minerals Industry. Publ by Soc for Mining, Metallurgy & Exploration Inc, pp. 229-238, Symposium on Emerging Computer Techniques for the Minerals Industry, Tuscaloosa, AL, USA, 2/1/93.
Smith ML, Kemeny JM. Blast fragmentation model evaluation via image analysis. In Emerging Computer Techniques for the Minerals Industry. Publ by Soc for Mining, Metallurgy & Exploration Inc. 1993. p. 229-238
Smith, Martin L. ; Kemeny, John M. / Blast fragmentation model evaluation via image analysis. Emerging Computer Techniques for the Minerals Industry. Publ by Soc for Mining, Metallurgy & Exploration Inc, 1993. pp. 229-238
@inproceedings{05710cf48e924de39d8f6c9630d5902f,
title = "Blast fragmentation model evaluation via image analysis",
abstract = "In blasting, an optimal muckpile size distribution can be found in terms of mining and milling productivity and cost. Fragmentation control requires a means of modeling and evaluating blast results. A principle problem in the practical application of empirical blast fragmentation modeling is the evaluation of the muckpile's size distribution. Image analysis of video and photographic records of production size blasts at Cyprus's Miami and Thompson Creek mines is being used to provide data for estimating parameters relating fragmentation to blast design, energy factor and rock quality. The application of image analysis to the estimation of particle size distribution is reviewed with regards to the problem of fragmentation modeling.",
author = "Smith, {Martin L.} and Kemeny, {John M}",
year = "1993",
language = "English (US)",
isbn = "0873351231",
pages = "229--238",
booktitle = "Emerging Computer Techniques for the Minerals Industry",
publisher = "Publ by Soc for Mining, Metallurgy & Exploration Inc",

}

TY - GEN

T1 - Blast fragmentation model evaluation via image analysis

AU - Smith, Martin L.

AU - Kemeny, John M

PY - 1993

Y1 - 1993

N2 - In blasting, an optimal muckpile size distribution can be found in terms of mining and milling productivity and cost. Fragmentation control requires a means of modeling and evaluating blast results. A principle problem in the practical application of empirical blast fragmentation modeling is the evaluation of the muckpile's size distribution. Image analysis of video and photographic records of production size blasts at Cyprus's Miami and Thompson Creek mines is being used to provide data for estimating parameters relating fragmentation to blast design, energy factor and rock quality. The application of image analysis to the estimation of particle size distribution is reviewed with regards to the problem of fragmentation modeling.

AB - In blasting, an optimal muckpile size distribution can be found in terms of mining and milling productivity and cost. Fragmentation control requires a means of modeling and evaluating blast results. A principle problem in the practical application of empirical blast fragmentation modeling is the evaluation of the muckpile's size distribution. Image analysis of video and photographic records of production size blasts at Cyprus's Miami and Thompson Creek mines is being used to provide data for estimating parameters relating fragmentation to blast design, energy factor and rock quality. The application of image analysis to the estimation of particle size distribution is reviewed with regards to the problem of fragmentation modeling.

UR - http://www.scopus.com/inward/record.url?scp=0027149326&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0027149326&partnerID=8YFLogxK

M3 - Conference contribution

SN - 0873351231

SP - 229

EP - 238

BT - Emerging Computer Techniques for the Minerals Industry

PB - Publ by Soc for Mining, Metallurgy & Exploration Inc

ER -