Application of DEM modelling to grinding processes

R. Y. Yang, Chandana T Jayasundara, A. B. Yu

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review


Understanding energy utilisation in grinding is critical to the process optimisation. In this paper, we demonstrated that the discrete element method (DEM) modelling, when combined with experimental measurements, can provide more realistic and reliable description of grinding processes. By incorporating particle grindability from experiments and energy condition from DEM simulations into a population balance model (PBM), we developed a multi-scale framework to predict mill performance. The model can be an invaluable tool in the design, control and optimisation of grinding processes.

Original languageEnglish
Title of host publicationProceeding of the 11th World Congress on Intelligent Control and Automation
Subtitle of host publicationShenyang, China, June 29 - July 4 2014
EditorsHong Wang
Place of PublicationPiscataway NJ USA
PublisherIEEE, Institute of Electrical and Electronics Engineers
Number of pages5
ISBN (Electronic)9781479958245
ISBN (Print)9781479958269
Publication statusPublished - 2014
Externally publishedYes
EventWorld Congress on Intelligent Control and Automation 2014 - Shenyang, China
Duration: 29 Jun 20144 Jul 2014
Conference number: 11th


ConferenceWorld Congress on Intelligent Control and Automation 2014
Abbreviated titleWCICA 2014


  • Discrete element modelling
  • Grinding
  • Population balance model
  • Process optimisation

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