Towards a computational dynamical model for tumbling mill power draw

D. V.V. Kallon; A. Halidou; A. Nel; I. Govender; A. N. Mianza

Towards a computational dynamical model for tumbling mill power draw

D. V.V. Kallon, A. Halidou, A. Nel, I. Govender, A. N. Mianza

Mechanical and Industrial Engineering Technology

Research output: Contribution to conference › Paper › peer-review

Abstract

A computational dynamical model of tumbling mill power draw distribution is developed based on data obtained from Positron Emission Particle Tracking (PEPT) experiments conducted at a Specialized (PEPT) facility run by the University of Cape Town. The signal express software is used to record power draw data from a lab scale tumbling mill running at varying speeds and with varying load fractions of glass beads. The MATLAB is then used to reconstruct the trajectory of the tracer particle for further analysis. For the analysis presented herein, parameters are obtained directly from the flow dynamics of the PEPT tracer particle.

Original language	English
Pages	780-798
Number of pages	19
Publication status	Published - 2018
Event	11th South African Conference on Computational and Applied Mechanics, SACAM 2018 - Vanderbijlpark, South Africa Duration: 17 Sept 2018 → 19 Sept 2018

Conference

Conference	11th South African Conference on Computational and Applied Mechanics, SACAM 2018
Country/Territory	South Africa
City	Vanderbijlpark
Period	17/09/18 → 19/09/18

Keywords

Computational dynamical model
Power draw
Tumbling mills

ASJC Scopus subject areas

Mechanical Engineering
Computational Mechanics

Cite this

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title = "Towards a computational dynamical model for tumbling mill power draw",

abstract = "A computational dynamical model of tumbling mill power draw distribution is developed based on data obtained from Positron Emission Particle Tracking (PEPT) experiments conducted at a Specialized (PEPT) facility run by the University of Cape Town. The signal express software is used to record power draw data from a lab scale tumbling mill running at varying speeds and with varying load fractions of glass beads. The MATLAB is then used to reconstruct the trajectory of the tracer particle for further analysis. For the analysis presented herein, parameters are obtained directly from the flow dynamics of the PEPT tracer particle.",

keywords = "Computational dynamical model, Power draw, Tumbling mills",

author = "Kallon, {D. V.V.} and A. Halidou and A. Nel and I. Govender and Mianza, {A. N.}",

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TY - CONF

T1 - Towards a computational dynamical model for tumbling mill power draw

AU - Kallon, D. V.V.

AU - Halidou, A.

AU - Nel, A.

AU - Govender, I.

AU - Mianza, A. N.

PY - 2018

Y1 - 2018

N2 - A computational dynamical model of tumbling mill power draw distribution is developed based on data obtained from Positron Emission Particle Tracking (PEPT) experiments conducted at a Specialized (PEPT) facility run by the University of Cape Town. The signal express software is used to record power draw data from a lab scale tumbling mill running at varying speeds and with varying load fractions of glass beads. The MATLAB is then used to reconstruct the trajectory of the tracer particle for further analysis. For the analysis presented herein, parameters are obtained directly from the flow dynamics of the PEPT tracer particle.

AB - A computational dynamical model of tumbling mill power draw distribution is developed based on data obtained from Positron Emission Particle Tracking (PEPT) experiments conducted at a Specialized (PEPT) facility run by the University of Cape Town. The signal express software is used to record power draw data from a lab scale tumbling mill running at varying speeds and with varying load fractions of glass beads. The MATLAB is then used to reconstruct the trajectory of the tracer particle for further analysis. For the analysis presented herein, parameters are obtained directly from the flow dynamics of the PEPT tracer particle.

KW - Computational dynamical model

KW - Power draw

KW - Tumbling mills

UR - http://www.scopus.com/inward/record.url?scp=85079674003&partnerID=8YFLogxK

M3 - Paper

AN - SCOPUS:85079674003

SP - 780

EP - 798

T2 - 11th South African Conference on Computational and Applied Mechanics, SACAM 2018

Y2 - 17 September 2018 through 19 September 2018

ER -

Towards a computational dynamical model for tumbling mill power draw

Abstract

Conference

Keywords

ASJC Scopus subject areas

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