Soft-sensors for prediction of impact energy in horizontal rotating drums

McElroy, Luke; Bao, Jie; Yang, Runyu; Yu, Aibing

doi:10.1016/j.powtec.2009.05.030

Cited by 15 publications

(10 citation statements)

References 16 publications

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“…A mathematical model for the numerical determination of surface impacts of the ball mill's fill was proposed in [14]. Paper [15] applied the DEM method to numerically model the energy of impact interaction between particles in a granular fill of the rotating drum's chamber. Study [16] provides an overview of numerical algorithms, based on DEM method, to determine the impact action of fill at ball mills and self-grinding mills and its effect on the drum's chamber lining wear.…”

Section: Literature Review and Problem Statementmentioning

confidence: 99%

See 1 more Smart Citation

Revealing the effect of decreased energy intensity of grinding in a tumbling mill during self-excitation of auto-oscillations of the intrachamber fill

Deineka

Naumenko

2019

EEJET

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Розглянуто можливість здійснення порівняльного оцінювання ефективності процесу подрібнення в барабанному млині при традиційному усталеному та самозбудженому автоколивному режимах руху внутрішньокамерного завантаження. Побудовано математичну модель параметрів ударної дії молольного завантаження на подрібнюваний матеріал. Застосовано аналітико-експериментальний метод візуального аналізу картин течії у поперечному перерізі обертової камери. Чисельно за допомогою наближених процедур встановлено динамічний ефект зростання середніх сум вертикальних складових ударних імпульсів та середніх сум потужностей таких складових при самозбудженні автоколивань. Експериментально встановлено технологічний ефект суттєвого зниження енергоємності та деякого зростання продуктивності виявленого автоколивного процесу подрібнення порівняно із характеристиками традиційного усталеного процесу. Для цього було використано ситовий аналіз продукту подрібнення та вимірювання оборотності руху завантаження і потужності приводу обертання барабана. Як приклад, було розглянуто процес подрібнення цементного клінкера при ступені заповнення камери завантаженням 0,45, відносному розмірі кульових молольних елементів 0,026 та повному заповненні подрібнюваним матеріалом проміжків між молольними тілами. Встановлено, що при самозбудженні автоколивань енергоємність подрібнення знижується на 27,2 %, а продуктивність зростає на 6,7 %. Встановлені в роботі ефекти дозволяють прогнозувати раціональні параметри автоколивного процесу подрібнення в барабанному млиніКлючові слова: барабанний млин, внутрішньокамерне завантаження, ударна дія, самозбудження автоколивань, енергоємність подрібнення UDC 621.926.5:539.215:531.36

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Section: Literature Review and Problem Statementmentioning

confidence: 99%

“…An expression for the total work of the vertical components of impact forces for a single drum rotation under a self-oscillatory mode, taking into consideration (7), (8) and (15), takes the form:…”

Section: Analytical Modeling Of Impact Action Of the Milling Fill On mentioning

confidence: 99%

Revealing the effect of decreased energy intensity of grinding in a tumbling mill during self-excitation of auto-oscillations of the intrachamber fill

Deineka

Naumenko

2019

EEJET

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“…Based on the RDF and TRDF, the Shannon information entropy can be defined as follows to evaluate the global level of mixing and heat conduction together [36], 2 ( ) log ( ) T S g r f r dr (16) Because the information entropy is determined by the amount of uncertainty of the radial distribution of particle fields, it may evaluate the degree of mixing and temperature difference quantitatively. In general, based on Eq.…”

Section: Information Entropies Of Mixing and Conductionmentioning

confidence: 99%

“…The axial flow was shown to contribute significantly to the mean square deviation of particle positions, and must be considered in axial dispersion analysis. McElroy et al [16] predicted the impact energy in a horizontally rotating drum. They proposed a method for developing soft-sensors to quantitatively link particle-wall impact to particle-particle impact energy.…”

Section: Introductionmentioning

confidence: 99%

Numerical Simulation and Analysis of Particle Mixing and Conduction in Wavy Drums

Gui¹,

Yang²,

et al. 2015

Drying Technology

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A thermal -discrete element method (DEM) is used to simulate particle mixing and heat conduction inside wavy drums to explore the effects of wavy walls. Sinusoidal configurations with different waves on the walls are simulated. The Lacey mixing index is applied to analyze the mixing characteristics. The driven forces from the wavy wall, either positive/negative or effective driven forces, are analyzed to explain the mechanisms of mixing enhancement in the wavy drum. A new control parameter is proposed to explain the mechanism of mixing enhancement. It is found that a locally oscillating effect exists in wavy drums, which is imparted on the bulk rotating motions of particles, and enhances the characteristics of particle mixing and heat conduction significantly. Except over large wave numbers and rotating speeds when the flow regime is deteriorated for mixing, the wavy drum is generally beneficial for mixing augmentation as well as conduction enhancement.

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“…DEM was used to study impact energy distributions in a horizontal rotating drum [6]. The simulation was also used to provide data for the development of soft-sensor to quantify particle impact energy from the information of particle-wall impact energy [7]. However, the complexity of DEM makes the computation cost highly expensive, and as a result it is not applicable for online monitoring and optimization of large-scale systems.…”

Section: Introductionmentioning

confidence: 99%

Modeling of time-dependent distributions of impact and kinetic energies of particulate systems

Tjakra¹,

Hudon²,

Bao³

et al. 2013

AIP Conference Proceedings

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Abstract. This work develops an approach to modeling and analyzing the kinetic and impact energy distributions of particulate systems based on Markov chains. Markov chain operators represent the dynamics of kinetic and impact energy distributions. It can be used to estimate the evolution of energy distribution with respect to time. The obtained results lead to a good approximation when compared to that from Discrete Element Method simulation. In addition, a measure based on collective dynamic analysis is developed to relate particle impact energy (which is unmeasurable during operation) and particle kinetic energy (which can be estimated during operation) is developed. This measure opens a new pathway to measure particle impact energy from particle velocity which can be used for online monitoring, control and optimization.

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Soft-sensors for prediction of impact energy in horizontal rotating drums

Cited by 15 publications

References 16 publications

Revealing the effect of decreased energy intensity of grinding in a tumbling mill during self-excitation of auto-oscillations of the intrachamber fill

Revealing the effect of decreased energy intensity of grinding in a tumbling mill during self-excitation of auto-oscillations of the intrachamber fill

Numerical Simulation and Analysis of Particle Mixing and Conduction in Wavy Drums

Modeling of time-dependent distributions of impact and kinetic energies of particulate systems

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