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Influence of multilayer loading of dissimilar particulate solids into a batch mixer on mixing kinetics and capacity

Abstract : The objective of the study is to show several optimization problems in batch mixing of segregating particulate solids that can be set up and solved using the Markov chain models. A non-linear Markov chain model for mixing of segregating components is proposed to improve the model adequacy and to exclude some physical contradictions that arise in linear models. The influence of initial components distribution after their loading into a mixer on the optimum mixing time and mixture quality is examined. It is shown that the one-time loading of the components as two vertical layers is much worse than the multilayer loading of them as several sandwiches. The optimum number of layers, or sandwiches, is found taking into account that the total time of mixture treatment includes the time of mixing itself and the loading time that is proportional to the number of sandwiches. Some experimental evidences that the multilayer loading can be realized in the practice of mixing are also presented.
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Submitted on : Tuesday, April 20, 2021 - 10:34:51 AM
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Vadim E. Mizonov, Ivan Balagurov, Henri Berthiaux, Cendrine Gatumel. Influence of multilayer loading of dissimilar particulate solids into a batch mixer on mixing kinetics and capacity. Izvestiya Vysshikh Uchebnykh Zavedeniy Seriya “Khimiya I Khimicheskaya Tekhnologiya”, Ivanovo State University of Chemistry and Technology, 2016, 59 (10), pp.54-60. ⟨10.6060/tcct.20165910.5373⟩. ⟨hal-03201919⟩

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