Quantitative morphological analysis in a SEM‐microcomputer system—II. Morphological analysis of complex SEM images

Sergeev, Y. M.; Spivak, G. V.; Sasov, Alexander; Осипов, В. И.; Sokolov, V. N.; Рау, Э. И.

doi:10.1111/j.1365-2818.1984.tb04645.x

Cited by 20 publications

(16 citation statements)

References 9 publications

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“…These images can be statistically analyzed using the STIMAN program. The STIMAN image analysis [8][9][10][11] has the unique feature that it allows study of polydispersed samples by combining a series of SEM images at different magnifications, covering the entire range of particle and aggregate sizes under investigation. STIMAN combines images across magnifications of 250×, 500×, 1000×, 2000×, 4000×, 8000× and 16,000×.…”

Section: Stiman Analysismentioning

confidence: 99%

“…This has enabled the measurement of porosity and the calculation of permeability from the SEM images using STIMAN (STructural IMage ANalysis). STIMAN quantitative image analysis software was developed in Professor Sokolov's group at Moscow State University [8][9][10][11]. This method, initially designed to study structure in porous rocks [12], has since been adapted for application to clay aggregate systems [13,14].…”

Section: Introductionmentioning

confidence: 99%

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Kaolinite flocculation structure

Zbik

Smart

Morris

2008

Journal of Colloid and Interface Science

144

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Effective flocculation and dewatering of mineral processing streams containing colloidal clays has become increasingly urgent. Release of water from slurries in tailings streams and dam beds for recycle water consumption, is usually slow and incomplete. To achieve fast settling and minimization of retained water, individual particles need to be bound, in the initial stages of thickening, into large, high-density aggregates, which may sediment more rapidly with lower intra-aggregate water content. Quantitative cryo-SEM image analysis shows that the structure of aggregates formed before flocculant addition has a determinative effect on these outcomes. Without flocculant addition, 3 stages occur in the mechanism of primary dewatering of kaolinite at pH 8: initially, the dispersed structures already show edge-edge (EE) and edge-face (EF) inter-particle associations but these are open, loose and easily disrupted; in the hindered settling region, aggregates are in adherent, chain-like structures of EE and stairstep face-face (FF) associations; this network structure slowly partially rearranges from EE chains to more compact face-face (FF) contacts densifying the aggregates with increased settling rates. During settling, the sponge-like network structure with EE and FF string-like aggregates, limits dewatering because the steric effects in the resulting partially-gelled aggregate structures are dominant. With flocculant addition, the internal structure and networking of the pre-aggregates is largely preserved but they are rapidly and effectively bound together by the aggregate-bridging action of the flocculant. The effects of initial pH and Ca ion addition on these structures are also analyzed. Statistical analysis from cryo-SEM imaging shows that there is an inverse correlation of intra-aggregate porosity with Darcian inter-aggregate permeability whereas there is a strong positive correlation of Darcian permeability with settling and primary dewatering rate as a function of pH in suspension. Graphs of partial void contributions also suggest that it is not total porosity that dominates permeability in these systems but the abundance of larger intra-aggregate voids.

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Section: Stiman Analysismentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Kaolinite flocculation structure

Zbik

Smart

Morris

2008

Journal of Colloid and Interface Science

144

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“…Images from all microscopy studies were statistically analysed using the STatistical IMage ANalysing system (STIMAN) [24][25][26][27] technique, which was adopted for the purpose of studying the clay suspensions. This technique can extract integrated information on sample microstructures, and especially on total pore (void) space and the distribution of micro-pore sizes.…”

Section: Methodsmentioning

confidence: 99%

How the hydro-gel flocculation microstructure changes

Zbik

Williams

Song

et al. 2015

Colloids and Surfaces A: Physicochemical and Engineering Aspect

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“…Images from the microscopy studies were statistically analysed using the STatistical IMage ANalysing (STIMAN) system [12][13][14][15] technique, which has been adapted for studying clay suspensions. This technique can extract integrated information on sample microstructures, especially on total pore (void) space and the spread of micropore sizes.…”

Section: Methodsmentioning

confidence: 99%

Smectite clay microstructural behaviour on the Atterberg limits transition

Zbik

Williams

Song

et al. 2015

Colloids and Surfaces A: Physicochemical and Engineering Aspect

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behaviour on the Atterberg limits transition, Colloids and Surfaces A: Physicochemical and Engineering Aspects (2014), http://dx.doi.org/10.1016/j.colsurfa. 2014.11.042 This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain. aggregates and by encapsulate water within the ultrathin and closed void network, lead to poor sludge dewatering. To better understand the water retention behaviour of smectite-rich clays, a microstructural investigation was conducted on Amcol Australian bentonite in aqueous suspension in near the liquid limit (LL) and the plastic limit (PL). The investigation was conducted with the aid of synchrotron-powered transmission x-ray microscope tomography (TXM), with subsequent computer reconstruction. Images from the microscopy studies were statistically analysed using the STatistical IMage ANalysing (STIMAN) system. The study found that clay particles form a spanned framework in which mineral particles, aggregates and waterfilled voids assemble as hierarchic structural elements. The size of these structural elements was larger in the water suspension and subsequently became smaller as an effect of water loss in the suspension > liquid and > plastic limit conditions. The clay suspension structure was almost isometric, with a low anisotropy coefficient: Kα -9%. This parameter increased to Kα -17% in (LL) and increased further in (PL) conditions to Kα -35%. Voids within structural elements were much smaller than the water filled inter-flock voids, with their median diameter 140 nm (suspension), 120 nm (LL) and 90 nm (PL). Significant differences in Atterberg limits values were observed between powder freshly mixed with water and a seasoned sample. Therefore, careful consideration of the sample mineral composition, clay content and genesis must be given due to preparation for geotechnical examination.

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Quantitative morphological analysis in a SEM‐microcomputer system—II. Morphological analysis of complex SEM images

Cited by 20 publications

References 9 publications

Kaolinite flocculation structure

Kaolinite flocculation structure

How the hydro-gel flocculation microstructure changes

Smectite clay microstructural behaviour on the Atterberg limits transition

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