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Modeling and Simulation of Mineral Processing Systems

Author : R. Peter King
Publisher : Elsevier
Page : 417 pages
File Size : 14,22 MB
Release : 2012-12-02
Category : Technology & Engineering
ISBN : 0080511848

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Dr. R. Peter King covers the field of quantitative modeling of mineral processing equipment and the use of these models to simulate the actual behavior of ore dressing and coal washing as they are configured to work in industrial practice. The material is presented in a pedagogical style that is particularly suitable for readers who wish to learn the wide variety of modeling methods that have evolved in this field. The models vary widely from one unit type to another. As a result each model is described in some detail. Wherever possible model structure is related to the underlying physical processes that govern the behaviour of particulate material in the processing equipment. Predictive models are emphasised throughout so that, when combined, they can be used to simulate the operation of complex mineral processing flowsheets. The development of successful simulation techniques is a major objective of the work that is covered in the text. Covers all aspects of modeling and simulation Provides all necessary tools to put the theory into practice

Modeling and Simulation of Mineral Processing Systems

Author : Mineekshi Awasthi
Publisher :
Page : 0 pages
File Size : 43,79 MB
Release : 2015
Category : Ore-dressing
ISBN : 9781681174914

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The field of quantitative modeling of mineral processing equipment and the use of these models to simulate the actual behavior of ore dressing and coal washing as they are configured to work in industrial practice. The material is presented in a pedagogical style that is particularly suitable for readers who wish to learn the wide variety of modeling methods that have evolved in this field. The models vary widely from one unit type to another. Wherever possible model structure is related to the underlying physical processes that govern the behaviour of particulate material in the processing equipment. Predictive models are emphasised throughout so that, when combined, they can be used to simulate the operation of complex mineral processing flow sheets. The development of successful simulation techniques is a major objective of the work that is covered in the text.

Modeling and Simulation of Mineral Processing Systems

Author : R. P. King
Publisher : Society for Mining Metallurgy & Exploration
Page : 0 pages
File Size : 48,88 MB
Release : 2012
Category : Technology & Engineering
ISBN : 9780873353458

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The simulator is an important part of the book. Almost all of the models described are not amenable to normal mathematical solutions or easy computation using calculators or spreadsheets. The simulation techniques done with ModSim allow complex problems to be tackled with minimal time and expense.

Modeling, Design and Optimization of Multiphase Systems in Minerals Processing

Author : Luis A. Cisternas
Publisher : MDPI
Page : 232 pages
File Size : 20,46 MB
Release : 2020-03-19
Category : Technology & Engineering
ISBN : 3039284002

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Mineral processing deals with complex particle systems with two-, three- and more phases. The modeling and understanding of these systems are a challenge for research groups and a need for the industrial sector. This Special Issue aims to present new advances, methodologies, applications, and case studies of computer-aided analysis applied to multiphase systems in mineral processing. This includes aspects such as modeling, design, operation, optimization, uncertainty analysis, among other topics. The special issue contains a review article and eleven articles that cover different methodologies of modeling, design, optimization, and analysis in problems of adsorption, leaching, flotation, and magnetic separation, among others. Consequently, the topics covered are of interest to readers from academia and industry.

Advanced Control and Supervision of Mineral Processing Plants

Author : Daniel Sbárbaro
Publisher : Springer Science & Business Media
Page : 327 pages
File Size : 28,4 MB
Release : 2010-08-20
Category : Technology & Engineering
ISBN : 1849961069

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Advanced Control and Supervision of Mineral Processing Plants describes the use of dynamic models of mineral processing equipment in the design of control, data reconciliation and soft-sensing schemes; through examples, it illustrates tools integrating simulation and control system design for comminuting circuits and flotation columns. Coverage is given to the design of soft sensors based on either single-point measurements or more complex measurements like images. Issues concerning data reconciliation and its employment in the creation of instrument architecture and fault diagnosis are surveyed. In consideration of the widespread use of distributed control and information management systems in mineral processing, the book describes the platforms and toolkits available for implementing such systems. Applications of the techniques described in real plants are used to highlight their benefits; information for all of the examples, together with supporting MATLAB® code can be found at www.springer.com/978-1-84996-105-9.

Process Mineralogy

Author : Megan Becker
Publisher :
Page : 492 pages
File Size : 50,84 MB
Release : 2016-12-01
Category :
ISBN : 9781742721712

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Modeling, Design and Optimization of Multiphase Systems in Minerals Processing

Author : Luis A. Cisternas
Publisher :
Page : 232 pages
File Size : 39,3 MB
Release : 2020
Category : Engineering (General). Civil engineering (General)
ISBN : 9783039284016

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Mineral processing deals with complex particle systems with two-, three- and more phases. The modeling and understanding of these systems are a challenge for research groups and a need for the industrial sector. This Special Issue aims to present new advances, methodologies, applications, and case studies of computer-aided analysis applied to multiphase systems in mineral processing. This includes aspects such as modeling, design, operation, optimization, uncertainty analysis, among other topics. The special issue contains a review article and eleven articles that cover different methodologies of modeling, design, optimization, and analysis in problems of adsorption, leaching, flotation, and magnetic separation, among others. Consequently, the topics covered are of interest to readers from academia and industry.

Mineral Processing Design and Operation

Author : Ashok Gupta
Publisher : Elsevier
Page : 719 pages
File Size : 48,41 MB
Release : 2006-06-26
Category : Technology & Engineering
ISBN : 0080454615

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Mineral Processing Design and Operations is expected to be of use to the design engineers engaged in the design and operation of mineral processing plants and including those process engineers who are engaged in flow-sheets development.Provides an orthodox statistical approach that helps in the understanding of the designing of unit processes. The subject of mineral processing has been treated on the basis of unit processes that are subsequently developed and integrated to form a complete strategy for mineral beneficiation. Unit processes of crushing, grinding, solid–liquid separation, flotation are therefore described in some detail so that a student at graduate level and operators at plants will find this book useful. Mineral Processing Design and Operations describes the strategy of mathematical modeling as a tool for more effective controlling of operations, looking at both steady state and dynamic state models. * Containing 18 chapters that have several worked out examples to clarify process operations* Filling a gap in the market by providing up-to-date research on mineral processing* Describes alternative approaches to design calculation, using example calculations and problem exercises

The Modelling and Control of Mineral-processing Plants

Author :
Publisher :
Page : pages
File Size : 15,45 MB
Release : 1985
Category :
ISBN :

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During the last 20 years, a major Worldwide research effort has been devoted to the mathematical modelling and automatic control of mineral-processing operations. Significant progress has been made towards the goal of developing a comprehensive range of models and control systems, but there are still gaps in the existing knowledge. The models of crushers, rod mills, and ball mills are suitable for use in simulation techniques, but this is not the case for autogenous mills. The major problem is lack of knowledge of the mill load, which has an important influence on mill performance. Models of screens and hydrocyclones are also adequate for simulation purposes provided that their use is restricted to the data range from which they were developed. Research that will ultimately result in more flexible classification models is in progress. Models for comminution and classification are now being used for circuit designing. Studies are continuing on the problem of basing the design of grinding circuits on simple laboratory breakage tests followed by simulation predictions. Flotation models are now capable of predicting the performance of flotation behaviour of composite particles is being solved with the introduction of automatic image analysers capable of providing quantitative information on the mineral composition of particles. It seems that flotation modelling, which has not progressed greatly over the last five years, is again in a position to move forward. The development of automatic control systems for combined ball-mill and classifier circuits is well advanced, but the control of autogenous-milling circuits has proved difficult, and work is continuing. The automatic control of flotation circuits has proved to be an elusive goal. When on-stream analysis became a reality in the early 1970s, there were initial attempts to install flotation-control systems. However, variability in the ore types has caused problems that have not yet been solved. In recent years, the trend has been to simplify the strategies and objects of flotation-control systems. The pattern for the future application of modelling and control in mineral processing is clear. Simulation techniques will become increasingly used for circuit design problems. The development of control systems will be applied on a circuit-by-circuit basis, using general concepts but always recognizing the particular ore and circuit characteristics that make each control system unique.