CFD simulation of tailings slurry thickening in a gravity thickener

Wang, Xuetao; Cui, Baoyu; Wei, Dezhou; Song, Zhenguo; He, Yanzhang; Bayly, Andrew E.

doi:10.1016/j.powtec.2021.07.047

Cited by 12 publications

(4 citation statements)

References 47 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Particle classification plays an important role in mineral separation, of which the particle density and size are decisive properties. , Thickener and hydrocyclones are two classical separators of mineral particles. The thickener classifies particles in the gravitational field, while the hydrocyclone classifies particles in the centrifugal field. − In mineral preparation plants, the thickener occupies a large space and classifies particles at a slow rate, − but it presents a large throughput. , Hydrocyclone is an efficient classifier for particles; − however, the efficiency is sensitive to the operating and structural parameters …”

Section: Introductionmentioning

confidence: 99%

Study on the Classification Performance of a Novel Wide-Neck Classifier

Zheng,

Min,

Zhu

2023

ACS Omega

View full text Add to dashboard Cite

A novelty-designed wide-neck classifier (WNC) was proposed to enhance the passing ability and classification efficiency of fine particles. Using computational fluid dynamics (CFD), we studied the flow field and velocity distribution in the newly designed WNC. The velocity of the fluid gradually decreased from the wall to the center and from the cylinder to the cone, which facilitates particle classification and thickening. The Reynolds number (Re) and turbulent intensity (I) inside the WNC were discussed. The turbulent intensity increased with increasing feed velocity and overflow outlet diameter and decreased with increasing feed concentration and spigot diameter. The classification of coal slurry was performed to analyze the performance of WNC. The classification efficiency increased with increasing feed velocity but decreased as the feed concentration, spigot diameter, and overflow outlet diameter increased. The predictive models for classification efficiency influenced by the operational and structural parameters were constructed at high correlation coefficients, and the average error of these models was analyzed at 0.28%. Our results can provide valuable insights into the development of mineral classification.

show abstract

Section: Introductionmentioning

confidence: 99%

Study on the Classification Performance of a Novel Wide-Neck Classifier

Zheng,

Min,

Zhu

2023

ACS Omega

View full text Add to dashboard Cite

show abstract

“…Thickeners are important units for water recovery in which particles settle under gravity to achieve solid–liquid separation. − This process has been widely used in many industries, such as wastewater treatment, metallurgy plants, and mineral processing. − Fine minerals have low settling rates, and, in order to effect faster settling, a flocculant is often added to the feed slurry and mixed to bind dispersed fine particles into larger aggregates, − this produces a clear liquor overflow and a concentrated underflow suspension of solids . These suspended solids are discharged from the bottom while the clarified liquid is collected at the peripheral overflow for reuse or further purification. , However, thickeners cannot cope with the increasing number of fine minerals in the feed ore, and researchers have studied the influence of various parameters on thickener performance.…”

Section: Introductionmentioning

confidence: 99%

“…Thickeners are important units for water recovery 1 in which particles settle under gravity to achieve solid–liquid separation. 2 − 4 This process has been widely used in many industries, such as wastewater treatment, metallurgy plants, and mineral processing. 5 − 10 Fine minerals have low settling rates, 11 and, in order to effect faster settling, a flocculant is often added to the feed slurry and mixed to bind dispersed fine particles into larger aggregates, 12 − 16 this produces a clear liquor overflow and a concentrated underflow suspension of solids.…”

Section: Introductionmentioning

confidence: 99%

Multiphase Flow Characteristics in the Classification Process of a Novel Wide Neck Thickener: Experiment and Simulation

2022

View full text Add to dashboard Cite

A novel thickening equipment known as a wide neck thickener (WNT) was designed to solve the problem of depending only on gravity settlement of the thickener. The computational fluid dynamics method with the Reynolds stress and the volume of fluid models and the particle image velocimetry experimental method were both applied to investigate the pressure and velocity variation and turbulent characteristics of the WNT under different parameter settings. The results indicate that experiments and simulations are consistent. Under four parameter settings, the axial and tangential velocities decrease to the minimum and then increase from the wall to the center. Under different feed velocity, cone angle, and spigot diameter settings, turbulent kinetic energy k and intensity I decrease from the cylinder to the cone and from the wall to the center; the max k and I correspond to the area near the inlet followed by the cylinder, and k and I in the cone are the smallest. When the classification overflow outlet (COO) diameter is 200 mm, k and I increase rapidly, the max k and I are transferred from near the inlet to near the cylinder wall at the COO, and the k and I near the wall decrease significantly.

show abstract

“…With the increasing industrial demand for ethylene production and coal and iron resource mining, a large amount of alkaline waste is produced, such as calcium carbide slag and y ash (Miao et al 2022;Wu et al 2021a). At the same time, many of the alkaline components in these wastes can mineralize and sequester large amounts of CO 2 (Mayoral et Wang et al 2021). A mixing device that can ensure that the alkaline waste mineralizes and absorbs a large amount of CO 2 and that can e ciently extract a large amount of reaction heat can accelerate the realization of peak CO 2 emissions and carbon neutrality (Dar et al 2021).…”

Section: Introductionmentioning

confidence: 99%

Optimized structural parameters and heat extraction capacity of a mixing device for constant pressure CO2 mineralization using alkaline waste

Yang

et al. 2022

Environ Sci Pollut Res

View full text Add to dashboard Cite

Alkaline waste such as calcium carbide slag is an ideal material for mineralizing CO 2 and promoting atmospheric carbon reduction. In this study, the structural parameters of a mixing device and a thermal extraction method for the high-e ciency mineralization of CO 2 using alkaline waste were optimized. First, the effects of various factors including the length-diameter ratio, blade inclination angle, spacing, and diameter in constant-pressure and continuous-feed systems on the degree of CO 2 mineralization using carbide slag and on the extraction of the reaction heat during the mineralization process were investigated through experiments and numerical simulations. The in uence of different con gurations of the heat pipe and the internal uid ow rate on extraction of the reaction heat was explored. The in uence of different factors on the mineralization e ciency and heat extraction ability was analyzed based on the orthogonal simulation method. When the length-diameter ratio, blade inclination angle, spacing, and diameter of the mixing device were 3, 15, 6 cm, and 14 cm respectively, and a heat pipe was used, the heat extraction during calcium carbide slag (alkaline waste) mineralization of CO 2 was at a maximum. In addition, the winding con guration of the heat pipe, which is bene cial for extracting more reaction heat, was optimal, and a model of the relationship between the heat pipe outlet water temperature and ow velocity at the outlet of the heat pipe was established. This study provides theoretical guidance for the eld application of alkaline waste for high-e ciency mineralization of CO 2 , which can accelerate the realization of peak CO 2 emissions and carbon neutrality.

show abstract

CFD simulation of tailings slurry thickening in a gravity thickener

Cited by 12 publications

References 47 publications

Study on the Classification Performance of a Novel Wide-Neck Classifier

Study on the Classification Performance of a Novel Wide-Neck Classifier

Multiphase Flow Characteristics in the Classification Process of a Novel Wide Neck Thickener: Experiment and Simulation

Optimized structural parameters and heat extraction capacity of a mixing device for constant pressure CO2 mineralization using alkaline waste

Contact Info

Product

Resources

About