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A New Simulation Tool for the Predictive Assessment of Fluidized and Circulatory Granular Flow Behaviour

Lopez Marrero, A (2020) A New Simulation Tool for the Predictive Assessment of Fluidized and Circulatory Granular Flow Behaviour. Doctoral thesis, Liverpool John Moores University.

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Abstract

The Mass Finishing (MF) technologies are an area within the manufacturing processes that have been poorly investigated. The flow behaviour of the media within the work chamber is complex to establish. Deriving predictive process models or developing strategies for optimisation remains challenging. This is mainly because of the difficulty of measuring the phenomenon without altering it. Thus, there are many unanswered questions concerning the efficiency and capability of the MF technologies and uncertainty concerning the actions by which to optimise these processes. The work presented in this thesis employs a numerical approach, the Discrete Element Method (DEM) to shed light on these matters. This method has successfully revealed the mechanisms of the media flow within the rotary disc finisher and the importance of the friction between the container and the media. Furthermore, an in depth analysis of the interaction between particles and a fixed specimen within the bulk was achieved. This analysis predicts the behaviour of the stresses beyond the surfaces of the specimen and what features of the specimen are more likely to be affected by the media impact. Moreover, a full defined set of experiment is discussed as a means to obtain all the mechanical properties involve in the DEM model. A complete study of the movement governing the vibratory trough is also presented on this thesis.

Item Type: Thesis (Doctoral)
Uncontrolled Keywords: DEM; Mass Finishing; HPC; FEA; LIGGGHTS
Subjects: T Technology > T Technology (General)
T Technology > TS Manufactures
Divisions: Engineering
Date Deposited: 29 Jul 2020 16:53
Last Modified: 29 Jul 2020 16:54
DOI or Identification number: 10.24377/LJMU.t.00013203
Supervisors: Morgan, M, Jamal, M and Liu, X
URI: https://researchonline.ljmu.ac.uk/id/eprint/13203

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