Integrated modeling of grinding, liberation and leaching of gold ores
01 Jan 2010-
TL;DR: In this paper, the authors proposed a geometrical exposure model based on the available surfaces of gold grains and type of access of reagents to the gold grains in the case that they are locked in a particle and accessible only through pores and fractures.
Abstract: Leaching of gold ore has been more investigated as a "chemical' reaction that depends on some "chemical" parameters such concentration of reagents, pH, e t c . , while considerations to the "physical' phenomena of liberation and exposure of gold grains has been limited in the literatures. The development of new phenomenological models of grinding, liberation and leaching of gold ores in an interconnected framework which considers the particular behavior of gold in any of the processes and could relate these processes to each other is the main objective of this thesis. By dividing the bulk ore into mineralized and non-mineralized particles and by defining different breakage patterns for them and by taking into account the size distribution of the gold grains in the ore, the grinding model proposed in this thesis can predict the distribution of gold within the size intervals of a ground gold ore. The model was found to be able to reproduce fairly well the results of batch grinding tests of a gold ore. Once the amount of the various gold grain sizes in size fractions of the ground ore is estimated by the grinding model, a geometrical exposure model, developed for this thesis, provides an efficient link between the grinding and the liberation process to predict the way gold is exposed to the leaching environment. The proposed leaching model is based on the available surfaces of gold grains and type of access of reagents to the gold grains in the case that they are locked in a particle and accessible only through pores and fractures. The leaching model uses only two parameters and was found sufficient to represent the behavior of gold in various size fractions of the samples during a leaching process. Although any of the three proposed models are new and could find new applications, the main contribution of the thesis is the introduction of an integrated and interconnected methodology for estimation of metallurgical performances of gold processing. The effect of disturbances such as a change of feed grade, grinding mill feed size distribution and/or distribution of gold grain sizes in the ore on the dissolution of gold can be readily studied with the integrated simulation of the grinding-liberation-leaching processes.
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TL;DR: In this article, a new method called Association Indicator Matrix (AIM) established based on co-occurrence matrix was introduced to quantify the mineral association of ore texture and its progeny particles.
21 citations
01 Jan 2017
TL;DR: In this paper, the demands for efficient utilization of ore bodies and proper risk management in the mining industry have resulted in a new cross-disciplinary subject called geometallurgy, which connects graph theory and geometrical geometry.
Abstract: The demands for efficient utilization of ore bodies and proper risk management in the mining industry have resulted in a new cross-disciplinary subject called geometallurgy. Geometallurgy connects ...
9 citations
Cites methods from "Integrated modeling of grinding, li..."
...Other approaches have been reported in the literature such as integration of liberation, size reduction and process modeling (Bax et al., 2016; Khalesi, 2010)....
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Journal Article•
TL;DR: In this article, a quantitative model for the residence time distribution (RTD) in tumbling mills is derived, which has a relatively simple form described in terms of only three characteristic parameters.
Abstract: A quantitative model for the residence time distribution (RTD) in tumbling mills is derived. This model has a relatively simple form described in terms of only three characteristic parameters, wh ...
1 citations
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01 Jan 1984
TL;DR: Perry's Chemical Engineers' Handbook as mentioned in this paper is a free download pdf for chemical engineering applications, from the fundamentals to details on computer applications and control, and it can be found in any computer science course.
Abstract: Perry chemical engineers handbook free download pdf. Customers at an SAP AG event in Boston today expressed strong commitment to the vendors platform. Perry's Chemical Engineers' Handbook. All aspects of chemical engineering, from the fundamentals to details on computer applications and control. Definitive. Garner, G. O., “Careers in Engineering,” 2nd ed., VGM Career Books, in "Perry's Chemical Engineers' Handbook," 6th ed., McGraw-Hill, New York (1984).
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TL;DR: In this article, the authors present an approach for ODE's Phase Plane, Qualitative Methods, and Partial Differential Equations (PDE's) to solve ODE problems.
Abstract: PART A: ORDINARY DIFFERENTIAL EQUATIONS (ODE'S). Chapter 1. First-Order ODE's. Chapter 2. Second Order Linear ODE's. Chapter 3. Higher Order Linear ODE's. Chapter 4. Systems of ODE's Phase Plane, Qualitative Methods. Chapter 5. Series Solutions of ODE's Special Functions. Chapter 6. Laplace Transforms. PART B: LINEAR ALGEBRA, VECTOR CALCULUS. Chapter 7. Linear Algebra: Matrices, Vectors, Determinants: Linear Systems. Chapter 8. Linear Algebra: Matrix Eigenvalue Problems. Chapter 9. Vector Differential Calculus: Grad, Div, Curl. Chapter 10. Vector Integral Calculus: Integral Theorems. PART C: FOURIER ANALYSIS, PARTIAL DIFFERENTIAL EQUATIONS. Chapter 11. Fourier Series, Integrals, and Transforms. Chapter 12. Partial Differential Equations (PDE's). Chapter 13. Complex Numbers and Functions. Chapter 14. Complex Integration. Chapter 15. Power Series, Taylor Series. Chapter 16. Laurent Series: Residue Integration. Chapter 17. Conformal Mapping. Chapter 18. Complex Analysis and Potential Theory. PART E: NUMERICAL ANALYSIS SOFTWARE. Chapter 19. Numerics in General. Chapter 20. Numerical Linear Algebra. Chapter 21. Numerics for ODE's and PDE's. PART F: OPTIMIZATION, GRAPHS. Chapter 22. Unconstrained Optimization: Linear Programming. Chapter 23. Graphs, Combinatorial Optimization. PART G: PROBABILITY STATISTICS. Chapter 24. Data Analysis: Probability Theory. Chapter 25. Mathematical Statistics. Appendix 1: References. Appendix 2: Answers to Odd-Numbered Problems. Appendix 3: Auxiliary Material. Appendix 4: Additional Proofs. Appendix 5: Tables. Index.
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01 Jan 1976Abstract: Part I. Integral Geometry in the Plane: 1. Convex sets in the plane 2. Sets of points and Poisson processes in the plane 3. Sets of lines in the plane 4. Pairs of points and pairs of lines 5. Sets of strips in the plane 6. The group of motions in the plane: kinematic density 7. Fundamental formulas of Poincare and Blaschke 8. Lattices of figures Part II. General Integral Geometry: 9. Differential forms and Lie groups 10. Density and measure in homogenous spaces 11. The affine groups 12. The group of motions in En Part III. Integral Geometry in En: 13. Convex sets in En 14. Linear subspaces, convex sets and compact manifolds 15. The kinematic density in En 16. Geometric and statistical applications: stereology Part IV. Integral Geometry in Spaces of Constant Curvature: 17. Noneuclidean integral geometry 18. Crofton's formulas and the kinematic fundamental formula in noneuclidean spaces 19. Integral geometry and foliated spaces: trends in integral geometry.
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