Shape-weighted bubble size distribution based reagent predictive control for the antimony flotation process

Ai, Mingxi; Xie, Yongfang; Xie, Shiwen; Gui, Weihua

doi:10.1016/j.chemolab.2019.103821

Cited by 14 publications

(6 citation statements)

References 34 publications

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“…K), and λ j is the eigenvalue associated with the j'th principal component. The Q-statistic is calculated according to Equation (11), where e ij is the residual of the i'th observation of the j'th feature when reconstructed with the first K principal components:…”

Section: Construction Of Principal Component Modelsmentioning

confidence: 99%

“…Hotelling's T 2 statistic is calculated in accordance with Equation ( 10), where is the score of the i'th sample on the j'th principal component (j = 1, 2, … K), and is the eigenvalue associated with the j'th principal component. The Q-statistic is calculated according to Equation (11), where is the residual of the i'th observation of the j'th feature when reconstructed with the first K principal components:…”

Section: Case Study 1: Monitoring Of Pgm Frothsmentioning

confidence: 99%

“…Froth image analysis has advanced considerably, since computer vision systems became industrially established in the 1990s. This includes the measurement of bubble size distributions as a means to characterize froths [11][12][13], the measurement of froth colour, froth stability, and froth velocity patterns that are used on the control of flotation plants. These methods do not require information additional to the images and are well-supported by commercial software.…”

Section: Introductionmentioning

confidence: 99%

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Monitoring of Flotation Systems by Use of Multivariate Froth Image Analysis

Aldrich

Liu

2021

Minerals

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Froth image analysis has been considered widely in the identification of operational regimes in flotation circuits, the characterisation of froths in terms of bubble size distributions, froth stability and local froth velocity patterns, or as a basis for the development of inferential online sensors for chemical species in the froth. Relatively few studies have considered flotation froth image analysis in unsupervised process monitoring applications. In this study, it is shown that froth image analysis can be combined with traditional multivariate statistical process monitoring methods for reliable monitoring of industrial platinum metal group flotation plants. This can be accomplished with well-established methods of multivariate image analysis, such as the Haralick feature set derived from grey level co-occurrence matrices and local binary patterns that were considered in this investigation.

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Section: Construction Of Principal Component Modelsmentioning

confidence: 99%

Section: Case Study 1: Monitoring Of Pgm Frothsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Monitoring of Flotation Systems by Use of Multivariate Froth Image Analysis

Aldrich

Liu

2021

Minerals

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“…A bubble count that exhibits dramatic variations in sequences of consecutive images indicates that the froth is unstable [23]. The authors [24] reported, that due to the instability of the bubble, the froth appearance changes quickly. In their work, the series of consecutive froth images in three different production conditions with the sampling period 1 s were carried out.…”

Section: Dynamic Featuresmentioning

confidence: 99%

Commercial Machine Vision Systems in Flotation Circuit: A Mini –Review

Nad

2021

AMMS

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This paper presents a review of current industrial applications of Machine vision systems. A comparative analysis of the existing commercial software from different providers is given. Significant aspects of the control and optimization strategies based on the visual froth features (froth color, bubble size and shape, froth velocity and texture) extracted from the froth images are described in the paper.

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“…It is an effective way to improve the efficiency of flotation by analyzing the characteristics of flotation bubbles to realize the prediction, monitoring, and control of the flotation process. According to the papers, there have been application cases of this technology in the flotation of aluminum and antimony at this stage 16 . In addition, the bubble shape parameter is also necessary when modeling the two‐phase flow of the flotation column.…”

Section: Introductionmentioning

confidence: 99%

A study of bubble size/shape evolution in microbubble countercurrent contacting flotation column

Han

Chen

2022

Asia-Pacific J Chem Eng

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Cationic collectors are widely used in the flotation of iron ore, silicate, oxides, and so forth. At this stage, so much research has been carried out on flotation column cells, but more attention needs to be paid to the hydrodynamic properties in the presence of cationic collectors in cells. In order to study foaming performance and hydrodynamic characteristics in the presence of GE609, the bubble characteristics are studied in an experimental scale flotation column. A high-speed camera recorder is used to take bubbles' images, and the bubble size and shape under different conditions is measured by image analysis. This paper aims to explore the effect of dispersed gas and continuous liquid velocities on the bubble size and aspect ratio at different axial heights in a countercurrent flotation column in the presence and absence of GE609. In the

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Shape-weighted bubble size distribution based reagent predictive control for the antimony flotation process

Cited by 14 publications

References 34 publications

Monitoring of Flotation Systems by Use of Multivariate Froth Image Analysis

Monitoring of Flotation Systems by Use of Multivariate Froth Image Analysis

Commercial Machine Vision Systems in Flotation Circuit: A Mini –Review

A study of bubble size/shape evolution in microbubble countercurrent contacting flotation column

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