2009
DOI: 10.1016/j.cep.2008.10.008
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Markov-chain modelling and experimental investigation of powder-mixing kinetics in static revolving mixers

Abstract: chain modelling and experimental investigation of powder-mixing kinetics in static revolving mixers. Keywords: Static mixer Mixing Markov chains Model Mixture quality a b s t r a c tThis study aims to develop a general model that is able to describe powder flow and mixing in static mixers, regardless of the type of mixer or the mixing configurations. The process model is based on a homogeneous Markov chain describing the flow of each component through the mixing zone by a series of interconnected cells. It acc… Show more

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Cited by 13 publications
(9 citation statements)
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“…The results were different from those reported by some previous literature. 18,19 It indicated that the physical properties had little effect on the transition probability of particles in the continuous colliding static mixer, and the matrix of transition probability depended mainly on the type of mixing elements. The results showed that large different particles with a segregation potential could make good mixing in the continuous colliding static mixer.…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…The results were different from those reported by some previous literature. 18,19 It indicated that the physical properties had little effect on the transition probability of particles in the continuous colliding static mixer, and the matrix of transition probability depended mainly on the type of mixing elements. The results showed that large different particles with a segregation potential could make good mixing in the continuous colliding static mixer.…”
Section: Resultsmentioning
confidence: 99%
“…The binary system is a kind of mixture easy to be separated because the ratio of particles size is close to 10. 18 3.3. Procedure.…”
Section: Methodsmentioning
confidence: 99%
“…9 Several other types of mixing processes have been studied using computational techniques. 3,[9][10][11][12][13][14][15] These methods predominantly use discrete element modeling (DEM) to simulate flow and mixing, although other methods such as continuum modeling, [16][17][18] and Markov chain modeling, [19][20][21] data based methods, 22 and compartment modeling 23 have also been used in certain cases. DEM simulations have been shown to have good agreement with experimental studies of mixing using techniques such as Positron emission particle tracking 24,25 in batch mixers such as the V-blender 26 and simple rotating cylinder.…”
Section: Introductionmentioning
confidence: 99%
“…The matrix representation of the model allows state occupation to be calculated rapidly and also facilitates the derivation of macroscopic criteria of process efficiency, such as mixture homogeneity. Recently, we developed a Markov chain model to simulate the evolution of the axial non-homogeneity of binary mixtures in static mixers of "tube type", accounting for particle segregation during downward gravity flow [12]. In essence, it is a one-dimensional cell model which is not able to capture the crosswise mixing of particles during their flow through the tube.…”
Section: Introductionmentioning
confidence: 99%