A time dynamic model of a high pressure grinding rolls crusher
Journal article, 2019

Traditional models of high pressure grinding rolls (HPGR) crushers rely heavily on survey data to make accurate predictions. In this paper, a consolidation of previous approaches of modeling comminution machines is combined with insights from crusher modeling to develop a time dynamic process model of the HPGR. The crusher is modeled from a mechanistic point of view. Dynamic responses of the effect of hydraulic systems with dampening, varying feed size, ore hardness and crusher behavior for roller speed changes are included. The outcome is a full-time dynamic model that has been compared to process data. The model runs in Simulink and is supplied with a hydraulic cylinder pressure signal. The modeling technique is based on the mechanical motion equations of the rollers, combined with the breakage characteristics and pressure response of the ore material. The motion of the roller is partially described by the differential equation of a spring damper system. The block-based physical modeling is based on work by Evertsson (2000) and Johansson (2017), now applied to the HPGR crusher. A crusher performance model is presented, including capacity, particle size, and power estimation. The model output has been compared to data for an HPGR crusher with one ore, with an average correspondence within 10%, which leaves room for further improvements. The final model is assembled in a modular way, allowing for both process simulations of circuits and more high fidelity investigations of stand-alone units.

Time dynamic modeling

HPGR

High pressure grinding rolls and simulation

Crushers

Author

Marcus Johansson

Chalmers, Industrial and Materials Science, Product Development

Magnus Evertsson

Chalmers, Industrial and Materials Science, Product Development

Minerals Engineering

0892-6875 (ISSN)

Vol. 132 27-38

Areas of Advance

Nanoscience and Nanotechnology

Subject Categories

Applied Mechanics

Probability Theory and Statistics

Other Electrical Engineering, Electronic Engineering, Information Engineering

DOI

10.1016/j.mineng.2018.12.008

More information

Latest update

12/19/2018