Modelling the Relationship between Sludge Filtration Resistance and Capillary Suction Time

Arimieari, L. W.; Ademiluyi, J. O.

doi:10.4236/jep.2018.92007

Cited by 3 publications

(3 citation statements)

References 22 publications

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“…Turchiuli and Fargues showed the relationship between floc structure and the sludge dewaterability . Further, Arimieari and Ademiluyi modeled filtration resistance and CST wherein they used CaCl 2 as a coagulant for treating sludges . They empirically modified the equation established by Christensen et al .…”

Section: Performance Assessment Of Flocculantsmentioning

confidence: 99%

“…[214] Further, Arimieari and Ademiluyi modeled filtration resistance and CST wherein they used CaCl 2 as a coagulant for treating sludges. [215] They empirically modified the equation established by Christensen et al [216] to obtain the optimal coagulant dosage that yielded lower CST or specific resistance to filtration (SRF). Equation (13) shows the relation between CST and SRF.…”

Section: Dewatering Observations (Macroscopic Measurements)mentioning

confidence: 99%

See 1 more Smart Citation

Water Soluble Polymer Flocculants: Synthesis, Characterization, and Performance Assessment

Vajihinejad

Gumfekar

Bazoubandi

et al. 2018

Macro Materials & Eng

137

108

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Water soluble polymer flocculants are important constituents of solid–liquid separation units for the treatment of a variety of process‐affected effluents. The systematic development of a flocculant relies on a good understanding of flocculation process, polymer synthesis, polymer characterization, and, not the least, flocculation performance assessment as desired for a particular treatment process, all of which are essential to establish meaningful relationships between flocculant microstructure and flocculation efficiency. The aim of this article is to communicate the bigger picture of this research area to the readers. The recent advances in the application of bio/natural, synthetic, and stimuli‐responsive flocculants are reviewed. Then, the basic polymer reaction engineering tools to control the microstructure of flocculants are provided and the techniques for the quantification of flocculant microstructure are concisely discussed. This is followed by a review of the methods used for the characterization of particle‐polymer force measurement, and flocculation/dewatering assessment with attention to the characterization of aggregate structures.

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Section: Performance Assessment Of Flocculantsmentioning

confidence: 99%

Section: Dewatering Observations (Macroscopic Measurements)mentioning

confidence: 99%

Water Soluble Polymer Flocculants: Synthesis, Characterization, and Performance Assessment

Vajihinejad

Gumfekar

Bazoubandi

et al. 2018

Macro Materials & Eng

137

108

View full text Add to dashboard Cite

show abstract

“…Bangham's equation was used to evaluate adsorbate pore diffusion activities, if the adsorption is pore-diffusion controlled, eq. ( 11) [32,33].…”

Section: Kinetic Modelmentioning

confidence: 99%

Removal of nickel from Ni(II)-NH3-SO2-CO2-H2O system by electrocoagulation, sedimentation, and filtration processes

Vargas

Haynes²,

Guillen³

et al. 2022

J. Electrochem. Sci. Eng.

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The nickel removing by electrocoagulation of Ni(II)-NH3-CO2-SO2-H2O system was studied in a batch reactor of 50 L useful volume, with stirring, and two pairs of aluminum electrodes. The operating parameters were nickel concentration between 255 and 342 mg L-1, current density of 11.0 and 16.6 mA cm-2, pH 8.34±0.06, mean temperature 58.4±3.9 oC and retention time of 50 min. The maximum nickel removal was 99.7 % at 11.0 mA cm-2, specific energy consumption 16.86 kWh kg-1 of Al3+, 2.438 kWh kg-1 of Ni and the adsorption capacity 5819 mg Ni g-1 of Al3+. The precipitate contained a nickel concentration of 37.2 % and true density 2720 kg m-3, hydrotalcite-like structure layered double hydroxides. The unit area of sedimentation was between 0.25 and 1.96 m2 t-1 day, at a density from 971 to 1019 kg m-1 and 53±4 oC. A model for predicting the specific cake resistance was estimated as a function of pressure drop and suspension concentration at 44.45 kPa and 59.52 kg m-3, resulting in the value of 6.47±107 m kg-1. The average cake humidity was 88 % base humid.

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Sludge Dewaterability Testing: Relationship Between Capillary Suction Time (CST) and Specific Resistance to Filtration (SRF) for coagulation flocculation sludge

Fitria

Scholz

Swift

2023

Preprint

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Capillary suction time (CST) and specific resistance to filtration (SRF) are widely accepted measurements to test for sludge dewaterability properties. Previous investigations indicated that CST and SRF are strongly inter-related for most relevant variables. Only few investigations have shown no correlation between CST and SRF. This study aims to assess the goodness of CST and SRF relationship for different process variables relevant for coagulation flocculation sludge. Findings suggested that CST and SRF demonstrate different trends and are not related well for different rapid mixing velocities, materials and temperatures. The lack of overall relationship can be explained by the use of different procedures and equipment at variable boundary conditions in practice. SRF is more temperature-dependent than CST. The use of alum sulphate (alum) and ferric chloride (ferric) resulted in the lowest CST values, followed by Moringa oleifera. This result contradicted the SRF findings for which alum produced the lowest SRF values followed by M. oleifera and ferric.

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Modelling the Relationship between Sludge Filtration Resistance and Capillary Suction Time

Cited by 3 publications

References 22 publications

Water Soluble Polymer Flocculants: Synthesis, Characterization, and Performance Assessment

Water Soluble Polymer Flocculants: Synthesis, Characterization, and Performance Assessment

Removal of nickel from Ni(II)-NH3-SO2-CO2-H2O system by electrocoagulation, sedimentation, and filtration processes

Sludge Dewaterability Testing: Relationship Between Capillary Suction Time (CST) and Specific Resistance to Filtration (SRF) for coagulation flocculation sludge

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