Full Text Available

Note: Clicking the button above will open the full text document at the original institutional repository in a new window.

Modelling of resonant acoustic mixing of dry spherical particles

Dissertation (MEng (Mechanical Engineering))--University of Pretoria, 2022.

Saved in:
Bibliographic Details
Other Authors: Wilke, Daniel Nicolas
Format: Thesis
Language:English
Published: University of Pretoria 2022
Subjects:
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1867613600106938368
access_status_str Open Access
author2 Wilke, Daniel Nicolas
author_browse Wilke, Daniel Nicolas
author_facet Wilke, Daniel Nicolas
collection Thesis
dc_rights_str_mv © 2022 University of Pretoria. All rights reserved. The copyright in this work vests in the University of Pretoria. No part of this work may be reproduced or transmitted in any form or by any means, without the prior written permission of the University of Pretoria.
description Dissertation (MEng (Mechanical Engineering))--University of Pretoria, 2022.
format Thesis
id oai:repository.up.ac.za:2263/84161
institution University of Pretoria (South Africa)
language English
last_indexed 2026-06-10T12:38:42.927Z
license_str Other — see source repository
provenance_str_mv Harvested via OAI-PMH from UPSpace — University of Pretoria Institutional Repository
publishDate 2022
publishDateRange 2022
publishDateSort 2022
publisher University of Pretoria
publisherStr University of Pretoria
record_format dspace
source_str UPSpace — University of Pretoria Institutional Repository
spelling oai:repository.up.ac.za:2263/84161 Modelling of resonant acoustic mixing of dry spherical particles Wilke, Daniel Nicolas vanderwalt.ra@gmail.com Focke, Walter Wilhelm Van der Walt, Rudolph A. Discrete Element Modelling Resonant Acoustic Mixing Particle Mixing Mixing index Buckingham Pi UCTD Dissertation (MEng (Mechanical Engineering))--University of Pretoria, 2022. This study documents the findings and methods of mapping the resonant acoustic mixing parameters of spherical particles in a cylindrical tube or container. The document systematically explores the approach followed in conducting this study by investigating the validity of certain mixing measurements, developing new measurement techniques, parameter reduction and parameter sensitivity studies to design an experimental approach that is finally used to validate a numerical discrete element model. The study focused on separating key variables that influence the mixing outcome of each use case as well as establishing a better understanding of the mapped domain. All assumptions focused the attention on the key elements of the study to simplify each parameter to the most generic case. The study thus looks at the particle mixing behaviour of similar particles mixed in a cylindrical domain. The study is supported by numerically analysing results that were captured using the Lagrangian discrete element method solver in the Star-CCM+ package. The simulations were launched embarrassingly parallel on a High-Performance Computer to map the domain in a reasonable time-frame. An experimental setup was constructed to aid the findings in analysing validating the numerical findings. This experimental setup has variable speed and amplitude settings which allows for a mixing intensity of up to 105Gs [1030m/s 2 ]. The setup is currently installed and in working order at the University of Pretoria. All numerical parameters were set up such that they are in a way that it is physically implementable and realistic when varying the particle properties from soft to hard particles for various particle sizes, shaken using different container sizes. The result yielded some insight into which parameters played a larger role in the mixing efficiency; the key parameters included the container to particle volume ratio, mixing intensity and the container dimensions. Each of these parameters had its role to play in determining the mixing state as is thoroughly explored in this study. Mechanical and Aeronautical Engineering MEng (Mechanical Engineering) Unrestricted 2022-02-23T09:16:58Z 2022-02-23T09:16:58Z 2022 2022 Dissertation * A2022 http://hdl.handle.net/2263/84161 en © 2022 University of Pretoria. All rights reserved. The copyright in this work vests in the University of Pretoria. No part of this work may be reproduced or transmitted in any form or by any means, without the prior written permission of the University of Pretoria. application/pdf University of Pretoria
spellingShingle Discrete Element Modelling
Resonant Acoustic Mixing
Particle Mixing
Mixing index
Buckingham Pi
UCTD
Modelling of resonant acoustic mixing of dry spherical particles
title Modelling of resonant acoustic mixing of dry spherical particles
title_full Modelling of resonant acoustic mixing of dry spherical particles
title_fullStr Modelling of resonant acoustic mixing of dry spherical particles
title_full_unstemmed Modelling of resonant acoustic mixing of dry spherical particles
title_short Modelling of resonant acoustic mixing of dry spherical particles
title_sort modelling of resonant acoustic mixing of dry spherical particles
topic Discrete Element Modelling
Resonant Acoustic Mixing
Particle Mixing
Mixing index
Buckingham Pi
UCTD
url http://hdl.handle.net/2263/84161