2021
DOI: 10.1016/j.powtec.2021.01.064
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DEM simulation of binary mixing particles with different density in an intensive mixer

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Cited by 20 publications
(4 citation statements)
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“…The rotating drum is set to 12,000 sampling units with x , y , and z of 12 mm, and the unit containing more than 10 particles is selected for calculation. The specific calculation is shown in eq normalR normalS normalD = 1 N su 1 normalΣ i = 1 N su false( x i false) 2 × 100 % where N su is the number of sampling units and x and x̅ are the particle proportion and average particle proportion of sampling units, respectively.…”
Section: Methodsmentioning
confidence: 99%
“…The rotating drum is set to 12,000 sampling units with x , y , and z of 12 mm, and the unit containing more than 10 particles is selected for calculation. The specific calculation is shown in eq normalR normalS normalD = 1 N su 1 normalΣ i = 1 N su false( x i false) 2 × 100 % where N su is the number of sampling units and x and x̅ are the particle proportion and average particle proportion of sampling units, respectively.…”
Section: Methodsmentioning
confidence: 99%
“…Relevant reasons will be given in Section 3.2. The physical parameters of 316 L stainless steel powder have been systematically verified in the previous study [43], while those for the WC powder were given in Table 2 by considering the 316 L powder [44].…”
Section: Simulation Conditionsmentioning
confidence: 96%
“…The mixing device was made of steel. Its physical parameters were density of 7800 kg/m 3 , the tank shear modulus of 7×10 10 Pa, and the tank Poisson's ratio of was 0.30. The baffle was evenly distributed inside the drum cylinder.…”
Section: Numerical Simulation System Of Blade Brown Rice Germination ...mentioning
confidence: 99%
“…However, the mixing process of particles in the tank of the brown rice germination device is very complicated. The results of most experiments cannot directly obtain the particle motion information and accurately evaluate the mixing uniformity of the particles in the tank [10,11] . The optimization design through continuous experiments also has problems such as moneyconsuming and time-consuming [12] .…”
Section: Introductionmentioning
confidence: 99%