Further validation of DEM modeling of milling: effects of liner profile and mill speed

Hlungwani, O.; Rikhotso, J.; Dong, H.; Moys, M.H.

doi:10.1016/j.mineng.2003.07.003

Cited by 67 publications

(28 citation statements)

References 10 publications

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“…In this simulation we use the experimental data as given by Moyes et al [22]. To gauge the differences that exist between DEM and experiment we keep the spring parameters the same as we vary both the mill-speed and load.…”

Section: Charge Motion and Power Draw For A Slice Millmentioning

confidence: 99%

Discrete element simulation of mill charge in 3D using the BLAZE-DEM GPU framework

Govender

Rajamani

Kok

et al. 2015

Minerals Engineering

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The Discrete Element Method (DEM) simulation of charge motion in ball, semi autogenous (SAG) and autogenous mills has advanced to a stage where the effects of lifter design, power draft and product size can be evaluated with sufficient accuracy using either two-dimensional (2D) or three-dimensional (3D) codes. While 2D codes may provide a reasonable profile of charge distribution in the mill there is a difference in power estimations as the anisotropic nature within the mill cannot be neglected. Thus 3D codes are preferred as they can provide a more accurate estimation of power draw and charge distribution. While 2D codes complete a typical industrial simulation in the order of hours 3D codes require computing time in the order of days to weeks on a typical multi-threaded desktop computer. This paper introduces a 3D GPU code based on the BLAZE-DEM framework that utilizes the Graphical Processor Unit (GPU) via the NVIDIA CUDA programming model. Utilizing the parallelism of the GPU a 3D simulation of an industrial mill with four million particles takes 1.16 hour to simulate one second (12 FPS) on a GTX 880 laptop GPU. This new performance level makes 3D simulations a routine task for mill designers and researchers. Furthermore the shorter compute time can elevate computations to a higher level wherein ore particle breakage and slurry transport can be included in the simulation. In this paper we verify our GPU code by comparing charge profiles and power draw obtained using the CPU based code Millsoft and pilot scale experiments. Finally, we show computations for plant scale mills.

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Section: Charge Motion and Power Draw For A Slice Millmentioning

confidence: 99%

Discrete element simulation of mill charge in 3D using the BLAZE-DEM GPU framework

Govender

Rajamani

Kok

et al. 2015

Minerals Engineering

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“…In fig 8a, maximum number of new particles is formed for Fast-Flo lactose which is the least cohesive material. We can further corroborate the behavior of fragmentation of cohesive particles by computing the energy of fragmentation using eq (5), where m* is the geometric mass of the colliding particles and v j is the relative velocity of the colliding particles. Figure 8b depicts that a greater energy of fragmentation is required for more cohesive material, regular lactose, as compared with same used for fragmenting Avicel 101.…”

Section: Effect Of Materials Propertiesmentioning

confidence: 80%

Investigating granular milling in a hammer mill: experiments and simulation

Naik

Chaudhuri

2011

Computational Methods and Experimental Measurements XV

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Particle size reduction of dry material by milling is a key unit operation for the pharmaceutical, agricultural, food and paper industries. Knowledge of particle flow and size reduction in a hammer mill is thus critical to optimize the design and operation of such equipment. Milling experiments are performed using lactose non pareils in a laboratory scale Hammer Mill. The size and shape of the resultant progeny of particles are analyzed by sieves/light scattering and microscope/image analysis techniques respectively. Discrete Element Method (DEM) based computational methods are developed to perform a quantitative examination of granular flow, fracturing and subsequently fragmentation patterns for the same hammer mill. A parametric study was performed to understand the effect of hammer speed (rotational), feed rate, hammer-wall tolerance on size reduction process. Simulations were carried out to study the effect of mill speed on kinetic energy of particles.

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“…Este valor está condizente com valores observados em literatura. Rajamani e Venugopal (2001) assumiram como 0,6 o valor do coeficiente de restituição de esferas de aço de diâmetro 50,80 mm e densidade 8000 kg/m³, enquanto que Hlungwani et al (2003), adotaram o valor ess = 0,66 para esferas de aço-cromo de diâmetro 22,24 mm e densidade 7800 kg/m³.…”

Section: Resultsunclassified

“…O software FLUENT® apresenta este parâmetro como default (padrão) igual a 0,9 e em estudos de simulação DEM ainda foram utilizados valores de 0,6 e 0,66 para esferas de aço-cromo por Rajamani e Venugopal (2001) e Hlungwani et al (2003) respectivamente. Normalmente, a medida experimental do coeficiente de restituição não é realizada e, em estudos de simulação, valores deste coeficiente encontrados na literatura são adotados ou mesmo arbitrariamente assumidos.…”

Section: Abordagem Eulerianaunclassified

Análise Experimental E Numérica Do Coeficiente De Restituição Em Simulações CFD Dos Regimes De Escoamento Em Um Moinho De Bolas

Straatmann¹,

Machado²,

Barrozo³

et al. 2017

Blucher Chemical Engineering Proceedings

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RESUMO -Em um moinho de bolas, o bom entendimento do fenômeno de colisão entre corpos moedores é importante para obter-se boa eficiência na operação de moagem. A ocorrência de determinado regime de movimentação dentro do moinho depende do arranjo de variáveis operacionais, entre outros. Deste modo, este estudo propõe uma análise da influência da parcela da energia envolvida em uma colisão que é restituída na forma de energia cinética, sobre o movimento dos corpos moedores, sendo esta definida pelo coeficiente de restituição. Em uma metodologia experimental, foi determinado o valor do coeficiente de restituição entre duas esferas pela análise da colisão entre as mesmas utilizando-se uma câmera de alta velocidade. Além disso, utilizou-se de simulação em CFD através do software FLUENT ® e do Modelo Euleriano Granular Multifásico para simular um moinho de bolas com suspensores. Os valores de coeficiente de restituição simulados foram de 0,50, 0,60 e 0,70 foram avaliados nas velocidades correspondentes ao regime de cascata (17,0 rpm), catarata (31,7 rpm) e centrifugação (74,6 rpm), observadas previamente. Os resultados indicaram pouca influência do coeficiente de restituição no movimento de carga moedora em simulações computacionais, exceto para elevadas velocidades de rotação empregadas, que resulta no regime de centrifugação. Além disso, o valor experimental obtido na determinação do coeficiente foi satisfatoriamente compatível com os resultados obtidos em simulação.

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Further validation of DEM modeling of milling: effects of liner profile and mill speed

Cited by 67 publications

References 10 publications

Discrete element simulation of mill charge in 3D using the BLAZE-DEM GPU framework

Discrete element simulation of mill charge in 3D using the BLAZE-DEM GPU framework

Investigating granular milling in a hammer mill: experiments and simulation

Análise Experimental E Numérica Do Coeficiente De Restituição Em Simulações CFD Dos Regimes De Escoamento Em Um Moinho De Bolas

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