The Experts below are selected from a list of 9744 Experts worldwide ranked by ideXlab platform

Eric Poulin - One of the best experts on this subject based on the ideXlab platform.

  • integrating online mineral Liberation Data into process control and optimisation systems for grinding separation plants
    Journal of Process Control, 2021
    Co-Authors: E M Perezgarcia, J Bouchard, Eric Poulin
    Abstract:

    Abstract This paper evaluates the benefits of explicitly integrating online mineral Liberation Data in control systems for grinding–separation circuits. Although Liberation is a critical variable for separation processes, this endeavour has not been attempted mainly because sensors providing continuous online or even at line measurements are yet to be developed. The ore particle size is seen as the key variable influencing mineral Liberation. In this study, a phenomenological two-stage comminution circuit simulator previously calibrated from industrial and laboratory Data was supplemented with a three-cell flotation line in open circuit. An economic real-time optimisation (RTO) layer coordinates the setpoints of a linear model predictive controller (MPC) of the grinding circuit. Assumed measurable, mineral Liberation Data feeds the RTO to update the particle size target parameter in an internal model predicting the flotation concentrate mass flow rate, grade, and recovery. Profits, derived from concentrate production rate, grade, and metal recovery, can improve by up to +5% compared with the standard approach, i.e. keeping the flotation feed particle size target constant.

G.j. Lyman - One of the best experts on this subject based on the ideXlab platform.

  • Method for interpolation of 2-D histogram Data: application to mineral Liberation Data
    Powder Technology, 1995
    Co-Authors: G.j. Lyman
    Abstract:

    A number of problems in mineral processing demands that the distribution of material over composition and size ranges be described. The description of the progressive Liberation of ore components with grinding is one such problem. Coal particle distribution as a function of particle size and density is another common problem. Invariably, the methods of analysis of mineral mixtures lead to a description of the materials in terms of discrete size and composition classes, but subsequent calculations using the material description benefit from the use of an interpolated version of the original Data. The interpolation must be positive and smooth and it should be possible to recover the original Data from the interpolated form of the material description. At least, the interpolation function should have the properties of a probability density function, that is, the area or volume under the interpolator must be unity. A robust means of computing such interpolations, using mineral Liberation Data, is described herein.

E M Perezgarcia - One of the best experts on this subject based on the ideXlab platform.

  • integrating online mineral Liberation Data into process control and optimisation systems for grinding separation plants
    Journal of Process Control, 2021
    Co-Authors: E M Perezgarcia, J Bouchard, Eric Poulin
    Abstract:

    Abstract This paper evaluates the benefits of explicitly integrating online mineral Liberation Data in control systems for grinding–separation circuits. Although Liberation is a critical variable for separation processes, this endeavour has not been attempted mainly because sensors providing continuous online or even at line measurements are yet to be developed. The ore particle size is seen as the key variable influencing mineral Liberation. In this study, a phenomenological two-stage comminution circuit simulator previously calibrated from industrial and laboratory Data was supplemented with a three-cell flotation line in open circuit. An economic real-time optimisation (RTO) layer coordinates the setpoints of a linear model predictive controller (MPC) of the grinding circuit. Assumed measurable, mineral Liberation Data feeds the RTO to update the particle size target parameter in an internal model predicting the flotation concentrate mass flow rate, grade, and recovery. Profits, derived from concentrate production rate, grade, and metal recovery, can improve by up to +5% compared with the standard approach, i.e. keeping the flotation feed particle size target constant.

J Bouchard - One of the best experts on this subject based on the ideXlab platform.

  • integrating online mineral Liberation Data into process control and optimisation systems for grinding separation plants
    Journal of Process Control, 2021
    Co-Authors: E M Perezgarcia, J Bouchard, Eric Poulin
    Abstract:

    Abstract This paper evaluates the benefits of explicitly integrating online mineral Liberation Data in control systems for grinding–separation circuits. Although Liberation is a critical variable for separation processes, this endeavour has not been attempted mainly because sensors providing continuous online or even at line measurements are yet to be developed. The ore particle size is seen as the key variable influencing mineral Liberation. In this study, a phenomenological two-stage comminution circuit simulator previously calibrated from industrial and laboratory Data was supplemented with a three-cell flotation line in open circuit. An economic real-time optimisation (RTO) layer coordinates the setpoints of a linear model predictive controller (MPC) of the grinding circuit. Assumed measurable, mineral Liberation Data feeds the RTO to update the particle size target parameter in an internal model predicting the flotation concentrate mass flow rate, grade, and recovery. Profits, derived from concentrate production rate, grade, and metal recovery, can improve by up to +5% compared with the standard approach, i.e. keeping the flotation feed particle size target constant.

J-p. Franzidis - One of the best experts on this subject based on the ideXlab platform.

  • jksimfloat v6 improving flotation circuit performance and understanding
    IMPC 2006 - Proceedings of 23rd International Mineral Processing Congress, 2006
    Co-Authors: Sarah Schwarz, J-p. Franzidis, William J Whiten, D. J. Alexander, M C Harris
    Abstract:

    Methods of analysing and optimising flotation circuits have improved significantly over the last 15 years. Mineral flotation is now generally better understood through major advances in measuring and modelling the sub-processes within the flotation system. JKSimFloat V6 is a user-friendly Windows-based software package incorporating simulation, mass balancing, and, currently under development, Liberation Data viewing and model fitting. This paper presents an overview of the development of the program up to its current status, and the plans established for the future. The application of the simulator, in particular, at various operations is also discussed with emphasis on the use of the program in improving flotation circuit performance.

  • Modeling of the Mount Isa rougher-scavenger copper flotation circuit using size-by-Liberation Data
    Mining Metallurgy & Exploration, 2000
    Co-Authors: B. K. Gorain, J-p. Franzidis, K. Ward, N. W. Johnson, E. V. Manlapig
    Abstract:

    A flotation model developed at the Julius Kruttschnitt Mineral Research Centre was used to predict the performance of copper rougher and scavenger circuits at the copper concentrator at Mount Isa Mines. The model describes the kinetic response of an ore in a flotation cell in terms of ore floatability, cell characteristics and froth recovery. The float-ability parameters of the rougher feed ore were obtained directly from a detailed plant survey. Flotation analysis was carried out for twenty different size-by-Liberation classes to account for the effects of particle size and Liberation on flotation. This paper investigates the capability of the model to predict the flotation behavior of 20 different size-by-Liberation classes in the rougher and the scavenger banks.