DEVELOPMENT AND IMPLEMENTATION OF THE ALGORITHM OF POWER DRAW MODELING FOR SEMI-AUTOGENOUS MILLS

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KORD PARIJAEE M.; FARZANEGAN A.; REZAEI BAHRAM

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Journal: AMIRKABIR Year:2009 | Volume:20 | Issue:20-C Page(s): 73-80

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Title

DEVELOPMENT AND IMPLEMENTATION OF THE ALGORITHM OF POWER DRAW MODELING FOR SEMI-AUTOGENOUS MILLS

Author(s)

KORD PARIJAEE M. | FARZANEGAN A. | REZAEI BAHRAM | Issue Writer Certificate

Keywords

COMPUTER SIMULATIONQ3

SEMI-AUTOGENOUS/AUTOGENOUS MILLQ3

POWER DRAW MODELINGQ3

Abstract

Semi-Autogenous/Autogenous (SAG/AG) mills are used widely in iron, copper, gold and other minerals grinding. In recent decades, several mathematical models were presented by various mineral processing researchers for predicting the performance of these mills. COMPUTER SIMULATION using these models is one of the validated techniques for predicting of mills power draw. In this work power draw of SAG mills was simulated which is also applicable for predicting the power draw in other types of tumbling mills such as ball mills. This model is based on describing of charge motion and the position of toe and shoulder of charge in the mill and charge kinetics and potential energy. This simulator computes toe and shoulder angles of charge, power requirement for tumbling charge, no-load power, net power and total power of SAG mills.

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APA: Copy

KORD PARIJAEE, M., FARZANEGAN, A., & REZAEI, BAHRAM. (2009). DEVELOPMENT AND IMPLEMENTATION OF THE ALGORITHM OF POWER DRAW MODELING FOR SEMI-AUTOGENOUS MILLS. AMIRKABIR, 20(20-C), 73-80. SID. https://sid.ir/paper/909/en

Vancouver: Copy

KORD PARIJAEE M., FARZANEGAN A., REZAEI BAHRAM. DEVELOPMENT AND IMPLEMENTATION OF THE ALGORITHM OF POWER DRAW MODELING FOR SEMI-AUTOGENOUS MILLS. AMIRKABIR[Internet]. 2009;20(20-C):73-80. Available from: https://sid.ir/paper/909/en

IEEE: Copy

M. KORD PARIJAEE, A. FARZANEGAN, and BAHRAM REZAEI, “DEVELOPMENT AND IMPLEMENTATION OF THE ALGORITHM OF POWER DRAW MODELING FOR SEMI-AUTOGENOUS MILLS,” AMIRKABIR, vol. 20, no. 20-C, pp. 73–80, 2009, [Online]. Available: https://sid.ir/paper/909/en

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