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Particle shape characterisation and its application to discrete element modelling

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Increasing importance has been placed on particle shape implementation within discrete element modelling (DEM) in order to more accurately reflect the non-spherical behaviour of the bulk material being handled.As computational resources grow,complex particle shapes are increasingly being modelled as the associated simulation times become more realistic to provide timely solutions.The objective of this research is to assess particle shape descriptors through a digital image segmentation technique,and to further implement particle shape parameters into generation of corresponding irregular shaped DEM particles.Separated and lumped particle images were analysed and reconstructed through the development of two distinct methodologies.Subsequently,various particle shape descriptors were obtained using combinations of image segmentation algorithms,including mathematical morphology processing,thresholding,edge detection,region growing,region splitting and region merging.DEM particles were subsequently created using particle shape results obtained above.Shape parameters of DEM particles were then examined and validated against the real particle shape parameters.

Particle shapesParticle morphologyImage segmentationDiscrete element modelling

Kenneth C.Williams、Wei Chen、Sebastian Weeger、Timothy J.Donohue

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Centre for Bulk Solids and Particulate Technologies, Newcastle Institute for Energy and Resources, The University of Newcastle, Callaghan 2308, Australia

Georg-Simon-Ohm University Nuremberg, Nuremberg 90121, Germany

TUNRA Bulk Solids, Newcastle Institute for Energy and Resources, The University of Newcastle, Callaghan 2308, Australia

2014

颗粒学报(英文版)
中国颗粒学会　中国科学院过程工程研究所

颗粒学报(英文版)

CSTPCDCSCDSCI
影响因子：0.632
ISSN：1674-2001
年,卷(期)：2014.12(1)
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