2010
DOI: 10.1016/j.seppur.2010.02.005
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Process optimization and modelling of sphalerite flotation from a low-grade Zn-Pb ore using response surface methodology

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Cited by 79 publications
(36 citation statements)
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“…36 CCD is an effective alternative to full factorial design and enables the gathering of more data with a lower number of experiments. 37 Ps, ZP, and morphology of PUe-scU clNs Appropriate PS and a narrow size range in the ophthalmic formulation can ensure low irritation, sufficient bioavailability, and good compatibility in ocular tissues.…”
Section: Results and Discussion Central Ccdmentioning
confidence: 99%
“…36 CCD is an effective alternative to full factorial design and enables the gathering of more data with a lower number of experiments. 37 Ps, ZP, and morphology of PUe-scU clNs Appropriate PS and a narrow size range in the ophthalmic formulation can ensure low irritation, sufficient bioavailability, and good compatibility in ocular tissues.…”
Section: Results and Discussion Central Ccdmentioning
confidence: 99%
“…Using a response surface methodology (RSM) to design the experiments, the optimum flotation parameters can be obtained by the minimum number of experiments compared with the traditional factorial experiments, which demanded an investigation of all the possible combinations [22,23]. In the direct flotation process of the phosphate ore, especially the fine-particle sized one, a high pulp temperature was required to improve the solubility and activation energy of the reagents.…”
Section: Response Surface Methodology Analysismentioning
confidence: 99%
“…This statistical approach is a suitable technique for multi-factor experiments and has the advantage of identifying the most favorable conditions of the processes by determining the common relationship between various factors. Central composite design (CCD), which is a popular response surface method for the experimental design, was employed to optimize the amount of conversion yield (Mehrabani et al, 2010). The objective of employing CCD was to optimize the effects of the variables to get the best response.…”
Section: Rsmmentioning
confidence: 99%