Air classification performances of the components within the varied feed blends


POWDER TECHNOLOGY, vol.399, 2022 (SCI-Expanded) identifier identifier

  • Publication Type: Article / Article
  • Volume: 399
  • Publication Date: 2022
  • Doi Number: 10.1016/j.powtec.2021.117092
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Academic Search Premier, PASCAL, Aerospace Database, Applied Science & Technology Source, Chemical Abstracts Core, Chimica, Communication Abstracts, Compendex, Computer & Applied Sciences, EMBASE, INSPEC, Metadex, Civil Engineering Abstracts
  • Keywords: Air classification, Component interaction, Efficiency curve, Dry classification, Modelling, HIGH-EFFICIENCY SEPARATORS
  • Hacettepe University Affiliated: Yes


An ore is composed of components/minerals having varied physical and chemical properties that affects the performance of grinding and classification operations. The interactions between them have also effects on the performance and this study compared the air classification performances of the pure components with that of the state of binary feeding. Within the scope, magnetite, calcite and clinker samples that were in pure and binary mixed state were subjected to series of experimental works at changing air flow rates of the classifier. Certain methodology was applied to separate the components of a given bulk and the size-by distributions were determined. The evaluations indicated that bypass, cut size and sharpness parameters varied for pure feeding and the blend feeding states. Powder interactions and material specifications such as the density had effects on these variations and defining the powder specific constants were suggested to enhance the accuracy of the model predictions. (c) 2021 Published by Elsevier B.V.