Numerical investigation of the density sorting of grains using water jigging

Constant, Matthieu; Coppin, Nathan; Dubois, Frédéric; Artoni, Riccardo; Lambrechts, Jonathan; Legat, Vincent

doi:10.1016/j.powtec.2021.07.036

Cited by 8 publications

(7 citation statements)

References 32 publications

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“…Each group of parameters was repeated three times, and the results were averaged. The main parameters of rice grain include moisture content [28], density [29], elastic modulus [30], static friction coefficient and dynamic friction coefficient [31], collision recovery coefficient [32] and Poisson's ratio [33]. The parameter measuring methods are reported in Supplementary Materials (Table S1).…”

Section: Parameter Determinationmentioning

confidence: 99%

Discrete Element Simulation Study of the Accumulation Characteristics for Rice Seeds with Different Moisture Content

Wang

et al. 2022

Foods

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To study the accumulation characteristics of rice seeds with different moisture content, an accurate model of rice seeds was established by 3D scanning technology. The accumulation state of rice seeds by the “point source” accumulation method was analyzed by proportioning and measuring the simulation parameters with different moisture content. The accumulation process was simulated at 10.23%, 14.09%, 17.85%, 21.77%, 26.41% and 29.22% moisture content, respectively. The velocity and force state of the seeds were visually analyzed by using the accumulation process with a moisture content of 29.22%. The accumulation process was divided into four stages according to the velocity characteristics of the seeds. The average force and kinetic energy of the rice seeds outside the cylinder were obtained, and the average force of the rice seeds outside the cylinder was proved to be the direct cause of the velocity change during the accumulation process. The mechanical characteristics of rice seeds in the quasi-static accumulation stage were partitioned and systematically analyzed. The force distribution of the “central depression” structure of rice seeds with a moisture content of 10.23%, 14.09% and 17.85% on the horizontal surface appeared. The higher the moisture content of rice seeds, the more likely the typical “circular” force structure appeared, and the more uniformly the force on the horizontal surface was distributed in the circumference direction.

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Section: Parameter Determinationmentioning

confidence: 99%

Discrete Element Simulation Study of the Accumulation Characteristics for Rice Seeds with Different Moisture Content

Wang

et al. 2022

Foods

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“…Radiometric density measurements have been used to model the process in many studies [20][21][22]. Numerical studies in multiphase flow have been presented in several research works [23,24]. For instance, the jig frequency was examined by Tripathy et al [25].…”

Section: Introductionmentioning

confidence: 99%

Evaluation of the Effects of Coal Jigging by Means of Kruskal–Wallis and Friedman Tests

et al. 2023

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Coal beneficiation processes are often based on gravitational enrichment techniques. Therefore, various types of jigs are often used in this area. A number of factors determine the quality of the final product. Therefore, proper and systematic monitoring of such a process is necessary. The present work examined the effect of the hutch water amount and the amount of processed coal (system capacity) on the yield and ash grade in individual density–size fractions. A statistical method in the form of the Kruskal–Wallis test and the Friedman test was used to evaluate the process. These tests were proposed as universal and reliable alternatives to classical analysis of variance (ANOVA) analysis. The performed analysis allowed for the determination of what process conditions should be selected in order to obtain certain effects. Therefore, it allowed us to apply certain combinations of hutch water amount, system capacity and particle characteristics to maximize the expected effects. The application of statistical analysis methods in the form of Kruskal–Wallis and Friedman tests to evaluate process efficiency creates new possibilities to monitor and optimize the jigging process in both context of amount and quality of final product and is very important not only for mining enterprise but also from an environmental point of view.

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“…The efficiency of particle separation in the jig is influenced by many practical and hydrodynamic variables, as well as factors related to the feed characteristics, such as the coal's physical and textural properties (particle shape, hardness, surface roughness), granulometric and densimetric composition, and chemical features. Hydrodynamic variables Energies 2023, 16,1939 2 of 14 include water consumption (hutch water, transport water, and general water), water pressure, and rheological properties of the medium in terms of its density, viscosity, and solids content. There are also aerodynamic variables affecting the operational performance, such as the frequency and amplitude of the pulsation motion, along with the air pressure used to generate the pulsation [2,3].…”

Section: Introductionmentioning

confidence: 99%

Optimization of Coal Production Based on the Modeling of the Jig Operation

et al. 2023

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This paper presents the jig operating properties of the selected final parameters of the hard coal concentrate. The quality parameters of the product, such as the yield and ash content, were evaluated in terms of the technical and hydrodynamic parameters of the jig’s operation. The research program included a series of experiments in which the efficiency and the amount of hutch water were changed. The variables selected and analyzed were divided into two categories, i.e., one related to the characteristics of the concentrate produced, and the other to the characteristics of the jig operation. Models were built for narrowed particle size fractions based on concentrate yield and ash content in the concentrate. In addition, a multidimensional analysis was performed, considering variables such as machine throughput, which was determined by the flow rate of the material, the amount of hutch water, the quality of the concentrate, and the amount of concentrate, as well as the accuracy of the jig operation expressed by the imperfection. Two main parameters were taken into account for modeling the operation to examine their significance of influence on the final responses in terms of the possibility of adjusting the value of independent settings of the jig operation. The presented approach to modeling the operation of the jig can be extended by considering the impact of other parameters, taking into account the variability of the final effect, as long as it is allowed under the industrial conditions of machine operation and the assumed production requirements. The approach presented in this paper is a new technique, which was not found in the literature.

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Numerical investigation of the density sorting of grains using water jigging

Cited by 8 publications

References 32 publications

Discrete Element Simulation Study of the Accumulation Characteristics for Rice Seeds with Different Moisture Content

Discrete Element Simulation Study of the Accumulation Characteristics for Rice Seeds with Different Moisture Content

Evaluation of the Effects of Coal Jigging by Means of Kruskal–Wallis and Friedman Tests

Optimization of Coal Production Based on the Modeling of the Jig Operation

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