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Knowledge-based optimization of mineral grinding circuits

McGill University
Publication Date
  • Engineering
  • Metallurgy.
  • Artificial Intelligence.
  • Computer Science


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.

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