Application of response surface method of optimization in flocculant assisted filtration of uranium bearing alkaline leach slurry of limestone origin

Abstract

Leach slurries of alkaline nature often show very low rate of filtration due to high pulp viscosity contributed by dissolved solutes in solution and very fine grained nature of the unleached solids. Maximisation of filtration performance generally needs exhaustive experimentation involving various parameters which influence the solid–liquid separation process. The study reported in this paper pertains to optimisation of parameters in vacuum filtration of uranium bearing alkaline leach slurry generated from a brecciated limestone ore using response surface methodology. The d80 size of solids in the leach slurry is 60 μm and the pH of the pulp is 9·5–10. Initial screening of various commercial flocculants of anionic, cationic and non-ionic nature was carried out using the capillary suction time (CST) as basis. Minimum CST was achieved using a combination of anionic and non-ionic flocculant namely the Indfloc (IF) 477 and Guargum. The dosages of the flocculant combination and the slurry temperature were optimised to achieve maximum rate of filtration with optimal cake moisture under vacuum filtration conditions.

Novel synthesis of Ni/Fe layered double hydroxides using urea and glycerol and their enhanced adsorption behavior for Cr(VI) removal

“…The effect of time on the removal efficiency was evaluated through applying pseudo first 100,101 and second [102][103][104] order, mixed 1,2 order 105 , intraparticle diffusion 106,107 and Avrami 108-110 models, as described by Eqs. (11)(12)(13)(14)(15), respectively. All parameters related to these kinetic models are reported in Table 4.…”

“…Due to its potential toxicological effects, it has been become necessary and urgent to remove chromium from drinking water. Many treatment techniques such as ion exchange, chemical precipitation, reverse osmosis, membrane separation, solvent extraction and filtration [10][11][12][13][14] have been suggested for removal and up take of dichromate from water. Adsorption is considered as an effective, economical and environmentally friendly method for removal of heavy metal ions from aqueous solutions and attracts significant attention in the treatment of water 15 .…”

Glycerol-Modified Binary Layered Double Hydroxide Nanocomposites for Uranium Immobilization via Extended X-ray Absorption Fine Structure Technique and Density Functional Theory Calculation

“…In order to remove and recycle radioactive U­(VI) from water system, various treatment technologies (e.g., ion-exchange, chemical (co)­precipitation, solvent extraction, , coagulation, filtration, permeation, and membrane separation) have been applied to separate or aggregate radionuclides from wastewater or groundwater system. However, a series of defects, such as secondary pollution, high investment, and complex operation, significantly limited these methods’ application in environmental remediation .…”

“…2,10,11 It can cause serious comprehensive environmental radiation and potential toxicological effects, which results in different levels of water pollution or soil pollution, 12,13 so it is essential and urgent to recycle and aggregate uranium from natural environment. In order to remove and recycle radioactive U(VI) from water system, various treatment technologies (e.g., ion-exchange, 14 chemical (co)precipitation, 15 solvent extraction, 14,16 coagulation, 17 filtration, 18 permeation, 19 and membrane separation 20 ) have been applied to separate or aggregate radionuclides from wastewater or groundwater system. However, a series of defects, such as secondary pollution, high investment, and complex operation, significantly limited these methods' application in environmental remediation.…”

HPGR effect on the particle size and shape of iron ore pellet feed using response surface methodology

“…The application of statistical software, such as response surface methodology (RSM), reduces the time required on the relevant analyses by resorting to the formulation of a robust design matrix, which is engineered to yield precisely configured experimental trials within the ordered ranges of variables. Furthermore, the empirical models developed using the RSM technique explicitly take into account the linear, quadratic, polynomial and interaction effects of various process parameters, thereby resulting in suitable and practical predictions for near optimal process factor levels in the assigned region of operability (Abazarpoor et al 2013; Serajuddin and Sreenivas 2015; Biswas et al 2016).…”