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Details

Autor(en) / Beteiligte
Titel
Optimizing continuous powder mixing processes using periodic section modeling
Ist Teil von
  • Chemical engineering science, 2012-10, Vol.80, p.70-80
Ort / Verlag
Kidlington: Elsevier Ltd
Erscheinungsjahr
2012
Link zum Volltext
Quelle
Elsevier ScienceDirect Journals Complete
Beschreibungen/Notizen
  • While continuous powder mixing has been an area of active research in recent years, effects of operating conditions on the mixing performance has not been well understood yet. Based on our previously developed periodic section modeling (Gao et al., 2012), this paper examines the effects of operating conditions on two significant parameters of the continuous blending processes: axial velocity and local mixing rate of the mixture. Four mixing cases differing in particle size, density and cohesiveness are simulated. Results show that when the local mixing rate improves at low fill levels and high blade speed, particles also move faster in the axial direction and reside for a shorter time inside the mixer. This trade-off between ascending local mixing rate and descending residence time indicates a non-optimal overall blending performance even when the best operating condition is applied. Based on these results, strategies that can further improve the blending performance are performed, which are proposed by increasing the blade speed while keeping a constant axial velocity. These strategies guarantee that the variance decay rate along the mixing axis is proportional to the blade speed in continuous blending processes. Dramatic improvements are observed when these strategies are applied, which shows the merit of this work on design and optimization of continuous power blending processes. ► This paper examines the effects of operations on axial velocity and local mixing rate. ► Effects of operations are similar for different non-segregating mixing cases. ► Mixing performance is improved by increasing blade speed while keeping axial velocity constant.
Sprache
Englisch
Identifikatoren
ISSN: 0009-2509
eISSN: 1873-4405
DOI: 10.1016/j.ces.2012.05.037
Titel-ID: cdi_proquest_miscellaneous_1709793422

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