Reflectance Spectrum Analysis of Mineral Flotation Froths and Slurries

Recursive multimodel partial least squares estimation of mineral flotation slurry contents using optical reflectance spectra.

In mineral flotation the X-ray fluorescence (XRF) grade measurements of the slurries typically give the most important on-line information on the state of the flotation process. It has been shown that the visual and near-infrared (VNIR) reflectance spectrum measurements of certain mineral slurries can be used to complete the sparse XRF slurry content information. This study focuses on the chemo...

Reflectance Spectroscopy in the Analysis of Mineral Flotation Slurries

Effective monitoring and control of a mineral flotation process necessitates accurate and rapid on-line analysis of the slurry flows. Recent development of lightweight and low-cost visible and near-infrared (VNIR) imaging spectrographs has provided new interesting possibilities also in mineral froth and slurry analysis. The intelligent combination of VNIR reflectance spectroscopy with the tradi...

Multichannel reflectance spectral assaying of zinc and copper flotation slurries

Detection and analysis of oscillations in a mineral flotation circuit

A novel mineral slurry assaying method combining visible and near-infrared reflectance spectroscopy and traditional X-ray fluorescence has recently been developed. The improved method is capable of high-frequency assaying of slurry grades in zinc and copper flotation, thus being able to reveal possible rapid oscillations in the grades. In this study, the new measurements are used to detect osci...

Modeling of Texture and Color Froth Characteristics for Evaluation of Flotation Performance in Sarcheshmeh Copper Pilot Plant, Using Image Analysis and Neural Networks

Texture and color appearance of froth is a discreet qualitative tool for evaluating the performance of flotation process. The structure of a froth developed on the flotation cell has a significant effect on the grade and recovery of copper concentrate. In this work, image analysis and neural networks have been implemented to model and control the performance of such a system. The result reveals...