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Resolving lateral segregation effects of static blenders

Resolving lateral segregation effects of static blenders

Ton, Bram T., Farnish, Richard J. and Zigan, Stefan (2015) Resolving lateral segregation effects of static blenders. In: IV International Conference on Particle-Based Methods (PARTICLES 2015). International Centre for Numerical Methods in Engineering (CIMNE), Barcelona, Spain, pp. 714-721. ISBN 978-8494424472

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Abstract

To date static blenders have mainly been used for mixing fluids, but recent research has shown the potential of static blenders for blending powders and granular materials as well. A problem when using a static blender in conjunction with powders and granular materials is trajectory induced segregation at the output of the blender. In order to evaluate the blending process two granular materials exhibiting extreme particle densities and sizes have been discharged into a static blender. The blend is collected in a radially compartmentalised receiving container and the blend composition of each compartment is then analysed. This paper presents a simple counter measure to reduce the effect of trajectory induced segregation. In addition this research has shown that, contrary to expectations, an increased number of blending stages does not necessarily bring improvements in homogeneity of the output stream. The results presented in this paper are of special interest to anyone blending powders and granular materials in an industrial environment.

Item Type: Conference Proceedings
Title of Proceedings: IV International Conference on Particle-Based Methods (PARTICLES 2015)
Additional Information: The Fourth Conference on Particle-Based Methods (PARTICLES 2015), 28-30 September 2015, Barcelona, Spain.
Uncontrolled Keywords: Sustainable energies, Biomass, Mixing, Segregation
Subjects: T Technology > TA Engineering (General). Civil engineering (General)
Faculty / Department / Research Group: Faculty of Engineering & Science > Department of Applied Engineering & Management
Related URLs:
Last Modified: 18 Apr 2017 15:04
Selected for GREAT 2016: GREAT b
Selected for GREAT 2017: None
Selected for GREAT 2018: None
URI: http://gala.gre.ac.uk/id/eprint/14327

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