How to account for operating condition variability when predicting liner operating life with DEM – A case study

Franke, Jochen; Cleary, Paul W.; Sinnott, Matthew D.

doi:10.1016/j.mineng.2014.11.009

Cited by 22 publications

(19 citation statements)

References 44 publications

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“…Researchers studied that the DEM simulation of mill behavior was only a weak variation with the mechanical properties [ 13 , 14 , 15 , 16 , 19 , 20 , 21 ]. To dramatically accelerate the computational efficiency of DEM simulations, the reduction in shear modulus was commonly employed without changing the charge behavior [ 15 , 22 , 23 ].…”

Section: Introductionmentioning

confidence: 99%

Discrete Element Method Simulations of the Inter-Particle Contact Parameters for the Mono-Sized Iron Ore Particles

et al. 2017

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Aiming at predicting what happens in reality inside mills, the contact parameters of iron ore particles for discrete element method (DEM) simulations should be determined accurately. To allow the irregular shape to be accurately determined, the sphere clump method was employed in modelling the particle shape. The inter-particle contact parameters were systematically altered whilst the contact parameters between the particle and wall were arbitrarily assumed, in order to purely assess its impact on the angle of repose for the mono-sized iron ore particles. Results show that varying the restitution coefficient over the range considered does not lead to any obvious difference in the angle of repose, but the angle of repose has strong sensitivity to the rolling/static friction coefficient. The impacts of the rolling/static friction coefficient on the angle of repose are interrelated, and increasing the inter-particle rolling/static friction coefficient can evidently increase the angle of repose. However, the impact of the static friction coefficient is more profound than that of the rolling friction coefficient. Finally, a predictive equation is established and a very close agreement between the predicted and simulated angle of repose is attained. This predictive equation can enormously shorten the inter-particle contact parameters calibration time that can help in the implementation of DEM simulations.

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Section: Introductionmentioning

confidence: 99%

Discrete Element Method Simulations of the Inter-Particle Contact Parameters for the Mono-Sized Iron Ore Particles

et al. 2017

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“…Wear damage on the structural boundary ∑ O by the particle contact is generally considered to be proportional to the energy it absorbs from the collisions 12 . Since both the impact and abrasive mechanisms can induce the removal of material from the structural boundary ∑ O , the wear volume V i d (mm 3 ) of structural boundary ∑ O at a boundary element i for a period of τ d can be expressed as 10 :

V_{i}^{d} = (a_{Im pact}^{i} \cdot {false\sum}_{m = 1}^{N_{i}} ({false\sum}_{c = 1}^{N_{i, m}} E_{Im pact}^{i, m}) + a_{italicAbrasion}^{i} \cdot {false\sum}_{m = 1}^{N_{i}} ({false\sum}_{c = 1}^{N_{i, m}} E_{italicAbrasion}^{i, m})) \cdot W_{i}

where c is the serial number of the contact between boundary element i and particle m within the τ d ; N i , m is the total number of contacts; N i is the total number of the particles that were in contact with boundary element i within the τ d ; a i Impact and a i Abrasion are the weight factors (dimensionless) of the accumulated collision energies

\sum_{m = 1}^{N_{i}} (\sum_{c = 1}^{italicNc} E_{Im pact}^{i, m})

and

\sum_{m = 1}^{N_{i}} (\sum_{c = 1}^{italicNc} E_{italicAbrasion}^{i, m})

(J), respectively; W i is the wear rate (mm 3 /J).…”

Section: Wear Prediction For Structural Boundary and Treatment Of Itsmentioning

confidence: 99%

“…In the wear prediction based on the DEM, a life cycle simulation of wear evolution 11 is performed through a series of evolution steps, in which the wear data from collisions are first collected, and then the geometry of structural boundary is modified progressively in response to wear. Generally, the structural boundary subjected to wear is composed of a number of smaller boundary elements, such as triangular meshes 10,12 . As a result, the wear contributions to the local boundaries by the particle contacts can be collected via these boundary elements in the DEM simulation, 13 and the new wear distributions on the local boundaries can be described by changing the positions of these boundary elements individually 11 .…”

Section: Introductionmentioning

confidence: 99%

A DEM‐based method for predicting the wear evolution of structural boundary composed of spherical boundary elements

Fang

Hu²,

Peng

et al. 2020

Numerical Meth Engineering

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Summary In the discrete element method (DEM) simulation for wear prediction, structural boundary is now represented extensively by triangular meshes with high resolution, which brings a huge computational cost. A DEM‐based method for predicting the wear evolution of structural boundary has been developed for computational efficiency. The structural boundary subjected to wear is represented by the spherical boundary elements in the DEM simulation in combination with the inside triangles and fitting curved surface in wear prediction. Wear prediction is performed through a series of evolution steps. In each evolution step, the collision energies by particles at structural boundary are collected via the DEM simulation and assigned to the boundary elements. Then, the volume losses of structural boundary are predicted across each relevant boundary element. Finally, the new geometry of structural boundary in response to wear is described by moving the boundary elements along the depths of wear individually. Through converting the contact detection between structural boundary and particles into between spherical boundary elements and particles, our method greatly reduces the computational cost in the DEM simulation. Through two numerical tests, our method has been verified to be an efficient and accurate method for the wear prediction of structural boundaries with different resolutions.

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“…css is the distance between bowl liner and the mantle at the CSS. Then compression ratio can be calculated according to (11)- (14). However, the compression ratio may not be equal to the actual compression ratio when the crusher operates in different conditions.…”

Section: Prediction Model Of Liner Wearmentioning

confidence: 99%

“…Material flow form is subjected to operating conditions. Franke [14] explored the liner wear which is caused by different operating conditions. It was found that liner wear is sensitive to the speed.…”

Section: Introductionmentioning

confidence: 99%

Prediction Model for Liner Wear Considering the Motion Characteristics of Material

Liu

Shi

Shen

et al. 2018

Mathematical Problems in Engineering

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A generic model to explore the relationship between the parameters of cone crusher and liner wear is provided in this paper. Relative slide and squeezing between material and liner are considered based on the operating conditions, structure parameters, and material properties. The sliding distance of the material under different conditions is discussed. It is detailed how operating parameters and structural parameters influence the pressure on the liner surface. Considering that the process of liner wear evolves over time, the updating method of the geometry of crushing chamber is adopted. The wear model is derived based on Archard theory and is calibrated with the measured wear profiles of the liner from a PYGB1821 cone crusher. Experiments show that the predicted wear amount is consistent with the measured results. The wear model can be used to predict the wear state of liner and quantify the influence of operating parameters and structural parameters on the liner wear.

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How to account for operating condition variability when predicting liner operating life with DEM – A case study

Cited by 22 publications

References 44 publications

Discrete Element Method Simulations of the Inter-Particle Contact Parameters for the Mono-Sized Iron Ore Particles

Discrete Element Method Simulations of the Inter-Particle Contact Parameters for the Mono-Sized Iron Ore Particles

A DEM‐based method for predicting the wear evolution of structural boundary composed of spherical boundary elements

Prediction Model for Liner Wear Considering the Motion Characteristics of Material

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