Title :
Application of DEM modelling to grinding processes
Author :
Yang, R.Y. ; Jayasundara, C.T. ; Yu, A.B.
Author_Institution :
Sch. of Mater. Sci. & Eng., Univ. of New South Wales, Sydney, NSW, Australia
Abstract :
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.
Keywords :
grinding; numerical analysis; optimisation; DEM modelling; discrete element method; energy utilisation; grinding processes; multiscale framework; population balance model; process optimisation; Atmospheric modeling; Force; Loading; Media; Minerals; Powders; Predictive models; discrete element modelling; grinding; population balance model; process optimisation;
Conference_Titel :
Intelligent Control and Automation (WCICA), 2014 11th World Congress on
DOI :
10.1109/WCICA.2014.7053164