Curtin University Homepage
  • Library
  • Help
    • Admin

    espace - Curtin’s institutional repository

    JavaScript is disabled for your browser. Some features of this site may not work without it.
    View Item 
    • espace Home
    • espace
    • Curtin Research Publications
    • View Item
    • espace Home
    • espace
    • Curtin Research Publications
    • View Item

    The Relationship between Froth Image Features and Platinum Flotation Grade

    Access Status
    Fulltext not available
    Authors
    Marais, C.
    Aldrich, Chris
    Date
    2010
    Type
    Conference Paper
    
    Metadata
    Show full item record
    Citation
    Marais, C. and Aldrich, C. 2010. The Relationship between Froth Image Features and Platinum Flotation Grade, in C Marais, C Aldrich (ed), The 13th Symposium on Automation in Mining, Mineral and Metal Processing, Aug 2 2010, pp. 104-108. Cape Town, South Africa: Elsevier.
    Source Title
    Proceedings of the 13th Symposium on Automation in Mining, Mineral and Metal Processing
    Source Conference
    The 13th Symposium on Automation in Mining, Mineral and Metal Processing
    URI
    http://hdl.handle.net/20.500.11937/22692
    Collection
    • Curtin Research Publications
    Abstract

    Many endeavors have been made attempting to relate froth appearance to key performanceindicators such as grade and recovery. The platinum industry have questioned the possibility of doing this based on the results of simple models trying to relate physical features (e.g. bubble size) to grade.In this study a fractional factorial design of laboratory experiments were conducted using platinum ore.The flowrate (x1), pulp level (x2), collector (x3), activator (x4), frother (x5) and depressant (x6) werevaried for each experiment and videos were recorded of the froth. The analysis of the videos rendered 20texture features from each image.The non-linear relationship between the froth texture features and grade were investigated using kernelFisher Discriminant Analysis (kFDA). The results indicate that these features could be sufficient as input into advanced model based control systems for PGM flotation plants. Multivariate linear regressionconfirmed the hypothesis and performed very well when the kFDA features are used as predictors.

    Related items

    Showing items related by title, author, creator and subject.

    • Recent Advances in Flotation Froth Image Analysis
      Aldrich, Chris ; Avelar, Erica; Liu, Xiu (2022)
      Machine vision is widely used in the monitoring of froth flotation plants as a means to assist control operators on the plant. While these systems have a mature ability to analyse physical froth features, such as the ...
    • The estimation of platinum flotation grade from froth image features by using artificial neural networks
      Marais, C.; Aldrich, Chris (2011)
      The use of machine vision in the monitoring and control of metallurgical plants has become a very attractive option in the last decade, especially since computing power has increased drastically inthe last few years. The ...
    • Estimation of platinum flotation grades from froth image data
      Marais, C.; Aldrich, Chris (2011)
      Features extracted online from froth images on flotation plants are potentially useful to the developmentof advanced control for flotation systems, provided that these features can be related to the key indicatorvariables ...
    Advanced search

    Browse

    Communities & CollectionsIssue DateAuthorTitleSubjectDocument TypeThis CollectionIssue DateAuthorTitleSubjectDocument Type

    My Account

    Admin

    Statistics

    Most Popular ItemsStatistics by CountryMost Popular Authors

    Follow Curtin

    • 
    • 
    • 
    • 
    • 

    CRICOS Provider Code: 00301JABN: 99 143 842 569TEQSA: PRV12158

    Copyright | Disclaimer | Privacy statement | Accessibility

    Curtin would like to pay respect to the Aboriginal and Torres Strait Islander members of our community by acknowledging the traditional owners of the land on which the Perth campus is located, the Whadjuk people of the Nyungar Nation; and on our Kalgoorlie campus, the Wongutha people of the North-Eastern Goldfields.