Flotation process fault detection using output PDF of bubble size distribution

Xu, Canhui; Gui, Weihua; Yang, Chunhua; Zhu, Huangqiu; Lin, You-Wu; Shi, Cao

doi:10.1016/j.mineng.2011.09.012

Cited by 61 publications

(18 citation statements)

References 26 publications

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“…To differentiate film size calculated from surface froth image segmentation and underlying bubble size, postsegmentation analysis was carried out to archive the prediction of bubble size distribution from the known bubble film distribution [40]. The bubble surface area flux (defined as the ratio between the superficial gas rate and the Sauter mean bubble diameter) has been also used to describe the gas phase dispersion efficiency in flotation machines [41].…”

Section: Trends In Green Chemistrymentioning

confidence: 99%

Research Activities Related to Flotation Process

Ka¹

2015

Trends in Green chem

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Flotation initially originated from the field of mineral processing. The importance of this process to the economy of the whole industrial world is considered to be enormous. Since for many years various particulate solids besides minerals have been extracted by using this effective gravity separation method with many interesting applications in the treatment of wastewater, looking for sustainability. Certain significant activities in flotation research were reviewed in the present, with main focus in the contribution of physical chemistry to flotation; i.e. zeta-potential measurements, contact angle etc., including examining the role of bubble and particle size played with regard to the process. Alternative bubble generation methods were examined, such as electro flotation and dissolved-air flotation-the latter technique is mainly intended for water treatment applications.Keywords: Hydrophobicity, Dissolved-air flotation, Electroflotation, Biosorption, Waste water IntroductionLet us start this chapter by saying that flotation is really an old process: the historian Herodotus in ancient Greece is probably the first person that described a process similar to flotation, in the 5 th century B.C., for the separation of gold particles from sand using fatty substances. And later, in the 15 th century A.D., the Arabs used resins for the selective separation of azurite (a copper mineral) from gangue. These are considered to be the main historical roots of flotation, which is based on the idea of applying rising gas bubbles as the transport medium [1]. The attachment of bubbles to particles transfers the solids from the body of water to the surface.Hydrophobicity refers to the property of a molecule, cluster, micro-organism or mineral surface that is repelled from a mass of water. Further, it was noted that the term hydrophobicity (a Greek word) has been differently understood in various fields [2]. Floatability and hydrophobicity, however, are inter-related, focusing often on the application of collectorless flotation. Attention may be paid to a series of relevant reviews on the area [3][4][5][6]. Below a brief survey is given on selected recent papers for different applications of flotation, from a really vast literatureshowing well (as we believe) that chemistry contributes in various ways in flotation research. Coal beneficiation is one of the most effective methods for removing minerals, such as gangues and pyrite, and pollutants such as sulfur, before the burning of coal.In general, the beneficiation process of low rank coals (about the 50% of the world's total coal deposits) is more difficult to achieve than that of bituminous and/or anthracite coals. Lignite is the most important mineral commodities for Greece, according to Anastassakis [7]; its reserves approach to about 4000 Mt. It was pointed out that in the future effective reagents should be invented for effective flotation process (being a physico-chemical one) [8]. A better understanding of the surface chemistry of sulfidewater interfaces was tried...

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Section: Trends In Green Chemistrymentioning

confidence: 99%

Research Activities Related to Flotation Process

Ka¹

2015

Trends in Green chem

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“…As a consequence, during the flotation process, operators can accurately evaluate the current production state based on the visual features of the surface of the froth, and modify production strategies accordingly. This task has been implemented manually by using the operators' naked-eye observations and their experiences (Xu et al, 2012). However, this mode of production is affected by subjective factors which are dependent on the individual operator.…”

Section: Introductionmentioning

confidence: 99%

Complex networks-based texture extraction and classification method for mineral flotation froth images

Xiao

Xie

et al. 2015

Minerals Engineering

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“…The performance thus depends on the operator's experience and is limited by the absence of physical, quantitative methods for measurement and characterization of the froth [3]. Therefore, methods based on machine vision and image processing have been developed for observation and analysis of froth images, including the application for extraction of bubble size, shape and other physical features [4][5][6]. Moreover, the correlation between these features and the flotation performance also has been studied [7,8].…”

Section: Introductionmentioning

confidence: 99%

“…The surface bubble size and shape are two of the dominant visual features closely relating to the reagent addition [6,11]. And the surface bubble size can also be used as an effective measurement of bubble stability for the reason that it reflects the extent of bubble coalescence [12].…”

Section: Introductionmentioning

confidence: 99%

Flotation Bubble Delineation Based on Harris Corner Detection and Local Gray Value Minima

Wang

Chen

2015

Minerals

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Abstract:Froth image segmentation is an important and basic part in an online froth monitoring system in mineral processing. The fast and accurate bubble delineation in a froth image is significant for the subsequent froth surface characterization. This paper proposes a froth image segmentation method combining image classification and image segmentation. In the method, an improved Harris corner detection algorithm is applied to classify froth images first. Then, for each class, the images are segmented by automatically choosing the corresponding parameters for identifying bubble edge points through extracting the local gray value minima. Finally, on the basis of the edge points, the bubbles are delineated by using a number of post-processing functions. Compared with the widely used Watershed algorithm and others for a number of lead zinc froth images in a flotation plant, the new method (algorithm) can alleviate the over-segmentation problem effectively. The experimental results show that the new method can produce good bubble delineation results automatically. In addition, its processing speed can also meet the online measurement requirements.

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Flotation process fault detection using output PDF of bubble size distribution

Cited by 61 publications

References 26 publications

Research Activities Related to Flotation Process

Research Activities Related to Flotation Process

Complex networks-based texture extraction and classification method for mineral flotation froth images

Flotation Bubble Delineation Based on Harris Corner Detection and Local Gray Value Minima

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