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Título: Knowledge-based optimization of mineral grinding circuits
Autores: Farzanegan, Akbar.
Fecha: 1998
Publicador: McGill University - MCGILL
Fuente:
Tipo: Electronic Thesis or Dissertation
Tema: Engineering, Metallurgy.
Artificial Intelligence.
Descripción: The performance of mineral grinding circuits strongly affects downstream processes such as flotation and cyanidation, and grinding is often the single most expensive unit operation. Hence, optimization efforts must be made on a regular basis to maintain and improve its technical and economic efficiency. The focus of this thesis, off-line optimization of grinding circuits, is based on the mathematical modelling of process units such as ball mills and hydrocyclones.
To complete an optimization task, a mineral process engineer must possess skills and knowledge pertaining to the different stages involved in such effort, available software tools and interpretation of results. A prototype knowledge-based system, Grinding Circuits Optimization Supervisor (GCOS), has been developed in CLIPS (C Language Integrated Production System) to assist a non-expert mineral process engineer to do off-line optimization studies.
Due to the importance of the correct estimation of back-calculated mill selection function in grinding optimization studies, a spline curve fitting algorithm has been used to improve their quality. The linkage of the algorithms for the selection function estimation, spline curve fitting, selection function scaling for different ball sizes and single ball mill simulation has provided a useful tool, Numerical Grinding Optimization Tools in C (NGOTC) for circuit analysis and grinding media size optimization. The smoothed estimated or scaled selection functions can be used subsequently in Ball Milling Circuits Simulator (BMCS) to perform full circuit simulations.
Data from a number of mineral processing plants including Agnico Eagle (La Ronde Division), Les Mine Selbaie, Les Mines Casa Berardi, Lupin Mine, Dome Mine and Louvicourt Mine were used to develop and test NGOTC, BMCS and GCOS. The results of data analysis and circuit simulations of some of these plants are presented, and the impact of some suggested actions is given and discussed.
Idioma: en