Abstract

The cone crusher is an indispensable equipment in complex ore mineral processing and a variant of the cone crusher is the inertia cone crusher. A real-time dynamic model based on the multibody dynamic and discrete element method is established to analyze the performance of the inertia cone crusher. This model considers an accurate description of the mechanical motions, the nonlinear contact, and the ore material loading response. Especially the calibration of ore material simulated parameters is based on the Taguchi method for the Design of Experiments. For model verification, the industrial-scale experiment was conducted on a GYP1200 inertia cone crusher. Two different drive speeds were included in the experiments, and the testing devices were used to acquire crusher performances, for instance, displacement amplitude, power draw, product size distribution, and throughput capacity in order to accurately compare simulation results. The preliminary model can be qualitatively evaluated the flow pattern of particles and quantitatively evaluated the crushing force distribution in the concave. Furthermore, the simulation predicts the variety of crusher performances using the drive speed and the fixed cone mass as input variables. The simulation model provides novel insight regarding the improvement of linings wear period, lowering manufacturing cost, and obtaining optimal operation parameters.

Highlights

  • The cone crusher plays a vital role in mineral processing, which has been used widely in medium and fine crushing stages in mineral processing comminution operations [1]

  • Feed particles are usually mixed with hard materials in the inertia cone crusher, where the drive shaft transfers the rotary swing via a flexible connection to the main shaft, avoiding the self-locked phenomenon

  • When comparing the mean value of the output power between the simulation and the experiment, the simulation results display a significant difference to the experimental data, The output power from the simulations and experiments display a fluctuation behavior in the small-scale due to that the particles uniformly distribute in the crusher chamber which is filled with is based on simulating the operation of product screening

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Summary

Introduction

The cone crusher plays a vital role in mineral processing, which has been used widely in medium and fine crushing stages in mineral processing comminution operations [1]. There are on the product size distribution, output, and the power draw using the DEM These complex contacts between particles and mechanical geometries, which affects the power consumption simulations ignore the effect of contacts between the particles and the mechanical geometries on the and dynamic characteristics in inertia cone crushers. Li et al [12], Cleary et al [13], and Andre et al [14] investigated the influence of ore material properties and operating parameters on product performance using the particle replacement model (PRM) with spherical and nonspherical particles These above simulations have been used to describe the effect of the given kinematics of equipment on the product size distribution, output, and the power draw using the DEM. The dynamic response of the crusher, the product performance, and the crushing force within the compressive particles that vary during operation

Mathematical Model for the Inertia Cone Crusher with Bonded Particles
Cartesian Coordinate Method Formulation
Nonlinear Contact Model
Particle Compression Model Using DEM
A Bimodal Particle Packing Cluster
Laboratory Breakage Experiments
Breakage Simulations Established
16. An ANOVA was used for the original data for each
11. Marginal means graphs for the Brazilian test simulations:
Numerical Calculation Flow Chart for Coupling of MBD–DEM
13. Numerical
Industrial Experiments
The Displacements of the Test
Power Draw
4.1.2.75 Power Draw
Trajectory of Fixed Point in the Mantle Surface
19. Inofthe
Behavior of the Particle Flow
22. Figure
Influence onon
23. Figure
Influence on Specific Energy Consumption
Conclusions
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