Effect of speed and accuracy of on-line elemental analysis on flotation control performance

Remes, Antti; Saloheimo, Kari; Jämsä‐Jounela, Sirkka‐Liisa

doi:10.1016/j.mineng.2007.01.016

Cited by 9 publications

(3 citation statements)

References 7 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Typically, this monitoring is performed by sampling the material and analysing the samples in a chemical laboratory. This process is not only expensive but also time consuming, which has been shown to result in negative economic impacts 7 . Furthermore, any sampling process of heterogeneous materials generates errors which result in inaccuracies of the laboratory analysis 4 .…”

Section: Online Elemental Analysis For Process Control In the Mineral...mentioning

confidence: 99%

Online elemental analysis for process control in the mineral processing industry

Rybok¹,

Kowoll²,

Thomas³

et al. 2022

TOS Forum

View full text Add to dashboard Cite

Even though devices to perform online and inline elemental analysis are widely available, they are generally under-utilised in the mineral processing industry. Instead, information obtained from laboratory analysis of material samples is used for process control, despite of sample analysis being time-consuming, expensive and error prone. Thus, in this paper, we demonstrate that online elemental analysis is a viable alternative to sampling-based material monitoring. To this end, we present the results of field-studies performed in a controlled environment, as well as at a flotation cell of the GTK Mintec mineral processing pilot plant. In both studies, we analyse the copper concentration in a suspension using the FLORIDA XRF device and report relative errors as low as 4% under controlled conditions, and 6% at the processing plant.

show abstract

Section: Online Elemental Analysis For Process Control In the Mineral...mentioning

confidence: 99%

Online elemental analysis for process control in the mineral processing industry

Rybok¹,

Kowoll²,

Thomas³

et al. 2022

TOS Forum

View full text Add to dashboard Cite

show abstract

“…Modern industry is looking forward to simplifying and automating the quality control of products [1,2]. Rapid and multivariable methods of control are becoming more widespread.…”

Section: Introductionmentioning

confidence: 99%

The Possibility of Optical Analysis of the Mineral Fertilizers Physical Properties

2019

View full text Add to dashboard Cite

The article describes the use of an optical surface recognition system for controlling physical parameters of mineral fertilizers produced on industrial scale. An optical device and an algorithm of extracting the properties from an RGB pixel matrix are described. On the basis of the received information, the possibility of classifying the physical parameters of the quality of fertilizers and their samples preparation (the size of the compressed particles, the grade and confirmation of preliminary drying execution) is shown. The possibility of the applying of this optical system as an independent device for quality control is proved.

show abstract

“…These include on-stream analysers, image analysis and other optical sensors. In general, on-stream analysers are effective in monitoring and controlling plant processes, since they can determine the elemental composition of a sample with high accuracy (Remes et al, 2007). Optical fibre sensors in particular have shown considerable promise as a means to obtain elemental analyses in the areas of food processing, pharmaceuticals and mineral processing (Lewis et al, 2007).…”

Section: Introductionmentioning

confidence: 99%

On-line monitoring of aqueous base metal solutions with transmittance spectrophotometry

Phiri

Aldrich

2014

Minerals Engineering

View full text Add to dashboard Cite

Research highlightso Conditions on a zinc plant in Namibia were simulated with Cu, Co and Zn solutions. o The metals could be measured online with an industrial NIR-vis spectrophotometer. o The transmittance spectra could be visualized with linear discriminant analysis. o PCR, PLSR and SVR models could estimate the metal concentrations accurately. ABSTRACTTransmittance spectrophotometry was used to monitor copper, cobalt and zinc in solution in laboratory experiments. The samples simulated plant conditions encountered on the Skorpion zinc mine in Namibia and were prepared using a simplex centroid mixture design. Principal component, partial least squares and support vector regression models were calibrated from visible and near infrared absorption spectra. All models could accurately estimate the concentrations of all the metals in solution. Although these models were affected by nickel contamination, the Cu models were less sensitive to this contamination than the Co and Zn models. Likewise, elevated temperatures led to degradation of the calibrated models, particularly the Zn models. The effects of these conditions could be visualized by a linear discriminant score plot of the spectral data.

show abstract

Effect of speed and accuracy of on-line elemental analysis on flotation control performance

Cited by 9 publications

References 7 publications

Online elemental analysis for process control in the mineral processing industry

Online elemental analysis for process control in the mineral processing industry

The Possibility of Optical Analysis of the Mineral Fertilizers Physical Properties

On-line monitoring of aqueous base metal solutions with transmittance spectrophotometry

Contact Info

Product

Resources

About