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Multi phase numerical modelling of thickening and sedimentation

Multi phase numerical modelling of thickening and sedimentation

Bailey, Christopher John ORCID: 0000-0002-9438-3879 (1988) Multi phase numerical modelling of thickening and sedimentation. PhD thesis, Thames Polytechnic.

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Phenomena that involve the settling of particulates in a host fluid are encountered in many practical systems which find applications in many areas of industry. A numerical model has been developed to simulate the settlement of non-flocculated particulate suspensions in batch sedimentation. The non-flocculated mode of the model is extended to predict the performance of a continuous gravity thickener.

The various particle species within the particulate susepnsion are represented as separate phases with distinct concentrations and velocities. A multiphase representation of the settling process gives greater detail of the interactions present between the particulates. The build up of the sediment as well as a prediction of the compression point for flocculated suspensions, is modelled using a revised version of packing theory. The build up of floes in the free setting region is incorporated via population balances.

Also, as well as the above theoretical work, experimental work has been undertaken to obtain data for non-flocculated suspensions. For batch sedimentation this data is in the form of density profiles and for the continuous thickener it is in the form of concentration profiles. The proposed model compares favourably with this experimental data and gives closer predictions than does a model representing the state of the art, at this point in time, for non-flocculated batch sedimentation.

Item Type: Thesis (PhD)
Additional Information: In collaboration with the Department of Trade and Industry, Warren Springs Laboratories.
Uncontrolled Keywords: numerical modelling, thickening, sedimentation, gravity, thickener, density,
Subjects: Q Science > QA Mathematics
T Technology > TA Engineering (General). Civil engineering (General)
Pre-2014 Departments: School of Computing & Mathematical Sciences
School of Computing & Mathematical Sciences > Centre for Numerical Modelling & Process Analysis
Last Modified: 13 Mar 2019 11:33
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
Selected for GREAT 2019: None
Selected for REF2021: None

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