“…The reason why these models are unreasonable is the low convergence rate, The time to obtain the maximum yield (normalr∞) value in the fitting curve of these models is much greater than the value in the flotation test (Ni et al, 2016). Except for Models 3 and 6, the maximum flotation rate constant was obtained at a medium particle size, which is consistent with other researchers (Muganda et al, 2011). The −0.25 + 0.074 mm particle size has the largest flotation rate constant and maximum value (normalr∞), which is consistent with the test results in Figure 5, that is, the medium particle size shows better flotation behavior during the flotation process.…”
In order to investigate the influence of particle size on the flotation behavior of coal slime, industrial analysis, elementary analysis, and particle size composition analysis were carried out on coal slime. The coal slime is divided into three sizes: −0.5 + 0.25, −0.25 + 0.074, and −0.074 mm, and full −0.5 mm particle sizes. Through contact angle measurement, wetting heat measurement, and step-by-step release test to investigate the hydrophobicity of each particle size; in addition, the flotation kinetics test of different particle sizes coal slime was also carried out. The results show that the particle size has a significant effect on the flotation behavior of fine coal slime. The medium particle size −0.25 + 0.074 mm has the best hydrophobicity, followed by −0.5 + 0.25 mm, again −0.5 mm, and finally −0.074 mm particle sizes. Use Origin software to fit six kinetic models to the test data of coal slime flotation kinetics, and analyze the maximum combustible recovery [Formula: see text], flotation rate constant (k), and correlation coefficient ([Formula: see text]) of each particle size, The results show that the first-order model with rectangular distribution of floatabilities can better describe the flotation of coal slime of each particle size.
“…The reason why these models are unreasonable is the low convergence rate, The time to obtain the maximum yield (normalr∞) value in the fitting curve of these models is much greater than the value in the flotation test (Ni et al, 2016). Except for Models 3 and 6, the maximum flotation rate constant was obtained at a medium particle size, which is consistent with other researchers (Muganda et al, 2011). The −0.25 + 0.074 mm particle size has the largest flotation rate constant and maximum value (normalr∞), which is consistent with the test results in Figure 5, that is, the medium particle size shows better flotation behavior during the flotation process.…”
In order to investigate the influence of particle size on the flotation behavior of coal slime, industrial analysis, elementary analysis, and particle size composition analysis were carried out on coal slime. The coal slime is divided into three sizes: −0.5 + 0.25, −0.25 + 0.074, and −0.074 mm, and full −0.5 mm particle sizes. Through contact angle measurement, wetting heat measurement, and step-by-step release test to investigate the hydrophobicity of each particle size; in addition, the flotation kinetics test of different particle sizes coal slime was also carried out. The results show that the particle size has a significant effect on the flotation behavior of fine coal slime. The medium particle size −0.25 + 0.074 mm has the best hydrophobicity, followed by −0.5 + 0.25 mm, again −0.5 mm, and finally −0.074 mm particle sizes. Use Origin software to fit six kinetic models to the test data of coal slime flotation kinetics, and analyze the maximum combustible recovery [Formula: see text], flotation rate constant (k), and correlation coefficient ([Formula: see text]) of each particle size, The results show that the first-order model with rectangular distribution of floatabilities can better describe the flotation of coal slime of each particle size.
“…The well-known approach is the slope of the flotation kinetic plot R=f(t) at the start of the process, that is at zero time (t=0). This approach was proposed for the first time perhaps by Agar et al [6], and next used in many investigations [12,[17][18][19][20][21]. The differential of Eq.…”
Section: Local Efficiency Of Flotation Kineticsmentioning
Abstract. Most flotation data can be approximated with the first order kinetic equation. However, this equation frequently provides two, not one, parameters, that is the first order flotation rate constant k and maximum flotation recovery Rmax. Currently, the most often way of evaluation of a set of flotation data is by using efficiency eto = k Rmax, being the slope of flotation kinetic curve at zero flotation time (t=0). This parameter has a local character and is useful only in very limited cases. It was proposed in this work to use a global flotation kinetic efficiency (e) which can characterize the whole set of kinetic curves. For the considered in this work flotation data, a simple relation Rmax = e k was used. For other sets of flotation data, the global flotation kinetics efficiency very likely will be represented by another equation with the one-adjustable parameter.
“…The wettability of fine powders has been investigated in different industrial fields, including mineral and metallurgical, pharmaceutical, and agrochemical industries, as well as food and cosmetic industries, to enhance their physical and material properties, such as the mineral composition [ 1 , 2 , 3 ], separation selectivity [ 4 ], plastic recycling [ 5 ], oil recovery from reservoir rocks [ 6 ], and stability of aqueous-oil emulsions [ 7 , 8 , 9 ].…”
Wettability has been the focal point of many studies in metal oxide materials due to their applications in water–gas shift reactions, organic reactions, thermochemical water splitting, and photocatalysis. This paper presents the results of systematic experimental studies on the wettability of surfaces of nanostructured transition-metal oxides (TMOs) (Al2O3, CeO2, and AlCeO3). The wettability of nanoparticles was investigated by measuring contact angles of different concentrations of water-based nanofluids (0.05–0.1 wt%) on the glass slide. The morphology, the heterostructure, and the nature of incorporated nanoparticles were confirmed by scanning electron microscopy (SEM) and transmission electron microscopy (TEM). Characteristic diffraction patterns of the nanomaterials were evaluated using energy-dispersive X-ray spectroscopy (EDS) and X-ray diffraction (XRD) techniques. The contact angles of water–Al2O3, water–CeO2, and water–AlCeO3 were measured as 77.5 ± 5°, 89.8 ± 4°, and 69.2 ± 1°, respectively. This study suggests that AlCeO3 is strongly water-wet (hydrophilic), while CeO2 is weakly water-wet (hydrophobic). It further demonstrated that the sizes and compositions of the nanoparticles are key parameters that influence their wetting behaviors.
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