Numerical simulation of wet particle flows in an intensive mixer

Gong, Shuguang; Zuo, Zhijian; Xie, Guofeng; Lu, Haishan; Zhang, Jianping

doi:10.1016/j.powtec.2019.02.004

Cited by 19 publications

(7 citation statements)

References 39 publications

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“…Substituting Equations (5)- (7) into Equation (4), the governing equation of a background mesh node can be obtained as…”

Section: Gimp Algorithmmentioning

confidence: 99%

“…The strain increments and vortices increments of material points can be evaluated according to Equation (7).…”

Section: Gimp Algorithmmentioning

confidence: 99%

“…Mishra and Rajamani took the lead in using DEM to study the flow behavior of granular matter in the rotary drum . With the rapid development of numerical simulation technology, DEM has become an important tool for the research of granular mixing . It provides the visualization of particle trajectory and the measurement of characteristic variables in the mixing process.…”

Section: Introductionmentioning

confidence: 99%

“…5 With the rapid development of numerical simulation technology, DEM has become an important tool for the research of granular mixing. 6,7 It provides the visualization of particle trajectory and the measurement of characteristic variables in the mixing process. However, the discrete method has two major shortcomings.…”

Section: Introductionmentioning

confidence: 99%

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Numerical simulation of granular mixing in a rotary drum using a generalized interpolation material point method

Zuo

Gong

Xie

2020

Asia-Pacific J Chem Eng

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Numerical simulations using a generalized interpolation material point method (GIMP) and material point method were introduced into the studying of granular mixing in a rotary drum. A Drucker–Prager model that has an equal size with a Mohr–Coulomb criterion was adopted to predict the failure behavior of granular matter. Experiments and discrete element method simulations were conducted to validate the models, and GIMP was finally used due to its accuracy and the ability for eliminating the crossing boundary noise. Velocity field of bed surface and standard deviation were used to measure the mixing performance. In particular, the influence of mesh size, elastic modulus, cohesion, and filling level were investigated. The results of simulations show that the utilization of GIMP significantly reduces the computing cost of simulation. The analysis of mixing performance shows that mixing performance decreases with the increase of elastic moduli, cohesion of granular matter, and filling levels.

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“…Substituting Equations (5)- (7) into Equation (4), the governing equation of a background mesh node can be obtained as…”

Section: Gimp Algorithmmentioning

confidence: 99%

“…The strain increments and vortices increments of material points can be evaluated according to Equation (7).…”

Section: Gimp Algorithmmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Numerical simulation of granular mixing in a rotary drum using a generalized interpolation material point method

Zuo

Gong

Xie

2020

Asia-Pacific J Chem Eng

Self Cite

View full text Add to dashboard Cite

show abstract

“…Differences in density, particle size, and wettability of the powder components can promote inhomogeneity of the components due to segregation or preferential wetting during granulation [4,26,27,[29][30][31]. Discrete element modelling (DEM) has been used in the past to study the mixing of powder and evaluate the segregation of powders [7,[32][33][34][35][36][37]. DEM is a numerical simulation tool which is capable of mimicking complex flow pattern by tracking each of the powder particles as individual entities throughout the whole mixing simulation.…”

Section: Introductionmentioning

confidence: 99%