Cost Reduction In Grinding Plants Through Process Optimization And Control

Society for Mining, Metallurgy & Exploration
Y. C. Lo A. E. Oblad J. A. Herbst
Organization:
Society for Mining, Metallurgy & Exploration
Pages:
3
File Size:
196 KB
Publication Date:
Jan 1, 1997

Abstract

The major cost in comminution is energy consumption, which can be as high as 50% of the operating cost. Improvements in plant operations have resulted in up to a 15% reduction in energy usage (kw-hr/t). These improvements have been made through the optimization of grinding efficiency and the use of expert model-based control systems. Optimization involves the determination of the levels of the critical-operating conditions that result in the most efficient breakage of ore in the mill. These optimal levels are identified through plant/laboratory test work and through computer simulation using advanced process models. Model-based expert control achieves the maximum performance from the grinding circuit by identifying the characteristics of the ore in the mill with an optimal on-line estimator. Using this information, the control system dynamically determines the operating point that will yield the optimal performance. Two industrial applications of grinding-circuit optimization and model-based control are presented to demonstrate the power of this new technology.
Citation

APA: Y. C. Lo A. E. Oblad J. A. Herbst  (1997)  Cost Reduction In Grinding Plants Through Process Optimization And Control

MLA: Y. C. Lo A. E. Oblad J. A. Herbst Cost Reduction In Grinding Plants Through Process Optimization And Control. Society for Mining, Metallurgy & Exploration, 1997.

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