On-stream analysis in copper SX-EW processes

Hughes, David; Saloheimo, Kari

doi:10.1016/s1474-6670(17)37018-0

Cited by 7 publications

(4 citation statements)

References 1 publication

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“…A number of applications exist with Outokumpu's Courier system (Hughes & Saloheimo, 1999;2000) and Amdel stream analysers, however these techniques are still active in the sense that their availability is very sensitive to maintenance and calibration programs.…”

Section: Instrumentationmentioning

confidence: 99%

State of the art in copper hydrometallurgic processes control

Bergh¹,

Jämsä‐Jounela²,

Hodouin³

2001

Control Engineering Practice

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A review of the state of art and trends in automation and control of hydrometallurgic processes is presented. Besides the great expansion of hydrometallurgic processes world-wide, there are a number of unsolved problems related to lack of instrumentation, lack of process knowledge, odd operating practices, and in general, lack of use of data management and processing. In general, process control of local objectives are frequently achieved, however, application of mature and new techniques, successfully adopted in other mineral processing plants, are seldom reported. In the near future it is expected that intelligent techniques will be incorporated to solve a large variety of problems. r

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Section: Instrumentationmentioning

confidence: 99%

State of the art in copper hydrometallurgic processes control

Bergh¹,

Jämsä‐Jounela²,

Hodouin³

2001

Control Engineering Practice

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“…Despite the great worldwide expansion of hydrometallurgic processes, there are not many, if any, publications on the control of these processes. This topic is discussed in detail in this IFAC'MM 2000 Workshop in the following papers: Process control advance in gold processing by McMullen and Beartup (2000), State of the art in copper hydrometallurgic processes control by , Expert control and fault diagnosis of the leaching processes in zinc hydrometallurgy plant by Wu, She, Nakano, and Gui (2000), Experience on SX/ EW pilot plant automation by , On-stream analysis in copper SX-EW processes by Hughes and Saloheimo (2000), Dynamic modelling of heap leaching operations by Munoz, Bartlett, and Bazzanella (2000) and Using principal component analysis and selforganizing map to estimate the physical quality of cathode copper by Rantala, Virtanen, Saloheimo, and J. a ams. a a- Jounela (2000).…”

Section: Hydrometallurgic Processesmentioning

confidence: 99%

Current status and future trends in the automation of mineral and metal processing

Jämsä‐Jounela¹

2001

Control Engineering Practice

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Abstract:A review of the current status and future trends in the automation and control of mineral and metal processing is presented. An evaluation of publications on IFAC MMM events during the last 20 years shows some trends in the application of a number of process control methods in the MM industry. Classical control has seen an extraordinarily wide application, but its inability to solve all the application problems of interest has led to further developments in control system methodologies and theory. One aim of this paper is to review the success of the translation of theoretically based developments into practice. Finally, the importance of information technology for the MM industry and process automation is highlighted and discussed. r

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“…Advanced control of a solvent extraction plant would make it possible to keep the process variables close to their optimal values, thus increasing the amount of copper produced and reducing the amount of chemicals and energy consumed (Kordosky, 2002;Jämsä-Jounela, 2001;Bergh et al, 2001;Hughes and Saloheimo, 2000).…”

Section: Introductionmentioning

confidence: 99%

Dynamic modelling of an industrial copper solvent extraction process

Komulainen¹,

Pekkala²,

Rantala³

et al. 2006

Hydrometallurgy

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The dynamic behaviour of an industrial copper solvent extraction mixer-settler cascade is modelled to develop an advanced process control system. First, the process is introduced and the dynamical models are formulated. The testing environment is described and the successful results presented. Only industrially measured variables are required and plant-specific McCabe-Thiele diagrams are utilized to predict copper concentrations. The results with constant and adapted parameters are compared and the importance of parameter adaptation is discussed. Testing the simulator with adapted parameters over a period of 1 month of industrial operating data gave data that followed the real process measurements closely. In the future, the mechanistic models will be used for control system development and testing. The model can be used on all copper solvent extraction plants by modifying the flow configuration and adapting parameters.

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On-stream analysis in copper SX-EW processes

Cited by 7 publications

References 1 publication

State of the art in copper hydrometallurgic processes control

State of the art in copper hydrometallurgic processes control

Current status and future trends in the automation of mineral and metal processing

Dynamic modelling of an industrial copper solvent extraction process

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