Dynamics of aluminum leaching from water purification sludge

Cheng, W. T. K.; Fu, Chi-Hua; Chen, Ping-Hung; Yu, Ruey-Fang

doi:10.1016/j.jhazmat.2012.03.007

Cited by 36 publications

(22 citation statements)

References 23 publications

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“…The total amount of aluminum can be leached out in the acid condition and calculated based on standard methods (Cheng et al, 2012). SSW was added in nitric acid with a ratio of 1:1 and filtered.…”

Section: Leaching Proceduresmentioning

confidence: 99%

“…The main constituents of SSW-DWT are SiO 2 and Al 2 O 3 ; however, during the addition of aluminum salt in the water treatment process, aluminum hydroxide [Al(OH 3 )] precipitates have formed (Cheng et al, 2012;Nair & Ahammed, 2015). Aluminum extraction from SSW is performed mainly by hydrometallurgical methods, in which SSW is first leached by a hydrochloric acid solvent.…”

mentioning

confidence: 99%

“…This model assumes that a solute is extracted around a shrinking core. The SC model has been widely used in hydrometallurgy for the leaching process to obtain metal or any other material that is valuable (Safari et al, 2009;Baba & Adekola, 2012;Cheng et al, 2012). It has been successfully applied to the leaching of zinc from a zinc ore containing silica (Safari et al, 2009), to the study of the dissolution kinetics of a Nigerian galena ore (Baba & Adekola, 2012), and to the study of aluminum leaching from sludge (Cheng et al, 2012).…”

mentioning

confidence: 99%

“…The SC model has been widely used in hydrometallurgy for the leaching process to obtain metal or any other material that is valuable (Safari et al, 2009;Baba & Adekola, 2012;Cheng et al, 2012). It has been successfully applied to the leaching of zinc from a zinc ore containing silica (Safari et al, 2009), to the study of the dissolution kinetics of a Nigerian galena ore (Baba & Adekola, 2012), and to the study of aluminum leaching from sludge (Cheng et al, 2012). Some studies have described that the leaching process is dominated by three of the rate-controlling step mechanisms, i.e., diffusion through a liquid film surrounding a particle, diffusion through a product layer, and a surface chemical reaction at the unreacted core (Levenspiel, 1998;Baba & Adekola, 2012;Cheng et al, 2012).…”

mentioning

confidence: 99%

“…It has been successfully applied to the leaching of zinc from a zinc ore containing silica (Safari et al, 2009), to the study of the dissolution kinetics of a Nigerian galena ore (Baba & Adekola, 2012), and to the study of aluminum leaching from sludge (Cheng et al, 2012). Some studies have described that the leaching process is dominated by three of the rate-controlling step mechanisms, i.e., diffusion through a liquid film surrounding a particle, diffusion through a product layer, and a surface chemical reaction at the unreacted core (Levenspiel, 1998;Baba & Adekola, 2012;Cheng et al, 2012). Most of them concentrate on the determination of ratecontrolling steps using three reaction mechanisms with the entire leaching process time for removing and recovering metals from different materials.…”

mentioning

confidence: 99%

See 4 more Smart Citations

A Modified Shrinking Core Model for Leaching of Aluminum from Sludge Solid Waste of Drinking Water Treatment

Mirwan¹,

Susianto²,

Altway³

et al. 2017

IJTech

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The kinetics of aluminum leaching from sludge solid waste (SSW) using hydrochloric acid at different leaching temperatures (3090°C) was studied. A mathematical model was developed based on a shrinking core model by assuming first-order kinetics mechanisms for leaching and an equilibrium linear at the solid-liquid interface. The proposed model is suited to fit experimental data with three fitting parameters and to simulate the leaching of aluminum from SSW, which was validated with the mass transfer coefficient (k c , cm/s), diffusion coefficient (D e , cm 2 /s), and reaction rate constants (k, cm/s). The evaluated k c , D e , and k are expected to follow an increasing trend with increasing temperature. The correlation coefficient ≥ 0.9795, the root mean square error ≤ 0.399, the mean relative deviation modulus ≤ 6.415%, and the value of activation energy is 13.27 kJmol -1 . The proposed model could describe the kinetics of aluminum leaching from the SSW DWT in accordance with test parameters and relevant statistical criteria. Valuable information on the results of this work can be given for the purposes of the simulation, optimization, scaling-up, and design of the leaching process.

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Section: Leaching Proceduresmentioning

confidence: 99%

mentioning

confidence: 99%