Hydrometallurgy

The data includes the changes of gold bioleaching efficiency under the conditions of different pH, different additions of bacteria, different pulp densities, different glycine concentration and different substrate. In addition, there are data on bacterial growth curves drawn using absorbance.

The data consists of input and output selected phases of calcium-aluminate slags that are leached in Na2CO3 solution for equilibrium calculation using HSC thermochemistry software.

This is Data in brief of dephosphorization of goethite ore through alkaline leaching process without any thermal conversion to hematite.

In this paper, the comparison of microwave heating leaching (MHL) and electric heating leaching (EHL) and the mechanism of rich-oxygen microwave leaching of extracting vanadium from converter vanadium slag were investigated. The comparative studies of leaching showed that the vanadium leaching ratio reached 45.76% in 20 min using EHL, but it can reached 95.78% under the same condition of MHL. The MHL mechanism analysis by XRD and SEM showed that the decomposition of the spinel in the converter vanadium slag can be accelerated by the MHL. In addition, the MHL can reduce the granularity and also make the surface of particles become more porous. In general, the leaching of converter vanadium slag by MHL is much more effective than that of EHL in the pressure leaching process. The kinetic studies of MHL and EHL showed that the activation energy of vanadium MHL and EHL were determined to be 15.57 and 48.53 kJ/mol, respectively. The MHL process followed the diffusion control and the EHL process was controlled by chemical reaction. The results showed that the MHL can shorten the process time, improve the productivity, reduce the cost and improve the product quality. Therefore, MHL of converter vanadium slag is an green production technology ensuring economy and feasibility.

The influence of the particle size, the leaching temperature, the concentration of ammonium acetate and the leaching time on the leaching rate is discussed. The control steps of the leaching process are studied by the fitting of the kinetic model, and the kinetic equation is calculated.

Thermodynamics data

In this paper, the effects of various types of paddle on the oxygen gas holdup in different regions were investigated with temperature 403 K, oxygen partial pressure 0.6 MPa, agitation rate 500 r/min. The results illustrate that the application of self-priming agitator could significantly promote bubble holdup in solution. Furthermore, experiments determining the effects of agitation rate, temperature, and oxygen partial pressure on gas holdup were carried out, where gas holdup increased from 0.03 to 1.59% with agitation rate from 200 to 700 r/min, 0.83 to 1.06% with temperature from 363 to 423 K and 0.50 to 1.27% with oxygen pressure 0.1 to 0.8 MPa. The kinetics of oxygen pressure acid leaching of sphalerite by using various types of paddle were also studied. the activation energies of Zn leaching by using various types of paddle were determined to be 53.23，56.30，59.76 and 67.58 kJ·mol-1, which show that the processes were controlled by surface chemical reactions. Through the comparison of activation energies, the self-priming type agitator was optimal. Finally, the similar criteria relationship of self-priming agitator was established by Homogeneous Principle and Buckingham’s theorem. Comprehensively, empirical equation of gas holdup was deduced on basis of experimental data and similarity theory, where the criterion equation was determined. It can be seen from the formula that agitation rate made the most impact on gas holdup in the pressure leaching process using the self-priming agitator.

we report the results of the first study on isolation and characterization of Acidithiobacillus caldus TST3 and the effects of pre-cultivation on improving the bio-leaching of rock phosphates by this microorganism. Indeed, we isolated and identified Acidithiobacillus caldus TST3, studied the dissolution of rock phosphates by strain TST3 in a series of bio-leaching experiments with and without pre-incubation, and then elucidated the relevant mechanism involved in the enhanced bio-solubilization. The results from our study reveal that Acidithiobacillus caldus TST3 has some unusual physiological characteristics with optimal growth at 37ºC and at an initial pH of 1.5-2.0. No pre-cultivation was observed to enhance bio-leaching significantly in comparison with that achieved with pre-grown culture in a phosphorous-limited environment. We presumed that the reason for the enhanced bio-leaching without pre-cultivation may results from the enhancement of the expression of sulfur oxidation genes, bio-oxidative activity of elemental sulfur and bacterial growth due to the simultaneous addition of RPs with inoculation.

Images related to a published paper on moisture absorption rates via capillary action - effect of bed and fluid properties. Figure 1a: Illustration of surface tension effects using a fluid droplet on a solid surface Figure 1b: Illustration of surface tension effects in a capillary of constant diameter Figure 1c: Illustration of surface tension effects using liquid held between two spherical particles Figure 2: Moisture retention mechanisms in a particle cluster with variable pore sizes Figure 3a: Glass shards used as a packing material Figure 3b: Greywacke used as a packing material Figure 3c: Malachite ore used as a packing material Figure 4: Illustration of the experimental set-up used to conduct capillary suction tests on the packing materials Figure 5: Effect of two parameters in an empirical model for fluid absorption rates via capillary suction Figure 6: Bulk density and bed voidage data for the different packed bed systems Figure 7: Experimental and model predicted values for the mass of soution absorbed during water capillary suction tests by packed beds composed of different materials and different sizes Figure 8: Optimized model parameter values based on the fitting of the experimental data obtained from capillary suction tests on the different material beds using water as the testing fluid. Figure 9: Experimental and model predicted values for the mass of solutions of different viscosities absorbed during capillary suction tests on malachite ore bed with different particle sizes: (a) 0.1–0.5 mm, (b) 0.5–1.0 mm, (c) 1.0–2.0 mm and (d) 2.0–2.8 mm Figure 10: Optimized model parameter values based on the fitting of the experimental data obtained from capillary suction tests on MO beds using different viscosity fluids.

Images related to a published paper on moisture absorption rates via capillary action - effect of bed and fluid properties. Figure 1a: Illustration of surface tension effects using a fluid droplet on a solid surface Figure 1b: Illustration of surface tension effects in a capillary of constant diameter Figure 1c: Illustration of surface tension effects using liquid held between two spherical particles Figure 2: Moisture retention mechanisms in a particle cluster with variable pore sizes Figure 3a: Glass shards used as a packing material Figure 3b: Greywacke used as a packing material Figure 3c: Malachite ore used as a packing material Figure 4: Illustration of the experimental set-up used to conduct capillary suction tests on the packing materials Figure 5: Effect of two parameters in an empirical model for fluid absorption rates via capillary suction Figure 6: Bulk density and bed voidage data for the different packed bed systems Figure 7: Experimental and model predicted values for the mass of soution absorbed during water capillary suction tests by packed beds composed of different materials and different sizes Figure 8: Optimized model parameter values based on the fitting of the experimental data obtained from capillary suction tests on the different material beds using water as the testing fluid. Figure 9: Experimental and model predicted values for the mass of solutions of different viscosities absorbed during capillary suction tests on malachite ore bed with different particle sizes: (a) 0.1–0.5 mm, (b) 0.5–1.0 mm, (c) 1.0–2.0 mm and (d) 2.0–2.8 mm Figure 10: Optimized model parameter values based on the fitting of the experimental data obtained from capillary suction tests on MO beds using different viscosity fluids.