Partic. vol. 25 pp. 36-41 (April 2016)
doi: 10.1016/j.partic.2015.05.002

Theoretical search for solutions to minimize negative influence of segregation in mixing of particulate solids

Vadim Mizonov^a,*, Henri Berthiaux^b, Cendrine Gatumel^b

mizonov46@mail.ru

Abstract

The objective of this study is to examine several optimization problems in the batch mixing of segregating particulate solids that can be set up and solved using Markov chain models. To improve the adequacy of such models and exclude some physical contradictions that arise in the linear form, a non-linear Markov chain model for the mixing of segregating components is proposed. Optimal solutions are obtained by controlling the particle flow outside the mixing operating volume while the components are being loaded, modifying particle circulation inside the mixing zone during the process, and by structuring the load in the mixing zone. Solutions are found that not only reduce the negative influence of segregation, but also exclude it altogether. The gain resulting from optimization grows with the rate of segregation. The optimal solutions presented here can be used to improve the design of mixers.

Graphical abstract

Keywords

Mixing; Segregation; Mixture quality; Markov chain; Optimization