Modelling the influence of the froth phase on recovery in batch and continuous flotation cells

To determine model parameters, a large data set was required. This is due to the semi-empirical nature of the proposed froth model. In this regard, the use of data obtained from continuously operated cells was therefore not suitable for deriving model parameters. It was thought that this could only...

Full description

Bibliographic Details
Main Author: Mathe, Z T
Other Authors: Franzidis, J-P
Format: Doctoral Thesis
Language:English
Published: University of Cape Town 2015
Online Access:http://hdl.handle.net/11427/10851
id ndltd-netd.ac.za-oai-union.ndltd.org-uct-oai-localhost-11427-10851
record_format oai_dc
spelling ndltd-netd.ac.za-oai-union.ndltd.org-uct-oai-localhost-11427-108512020-12-10T05:11:07Z Modelling the influence of the froth phase on recovery in batch and continuous flotation cells Mathe, Z T Franzidis, J-P To determine model parameters, a large data set was required. This is due to the semi-empirical nature of the proposed froth model. In this regard, the use of data obtained from continuously operated cells was therefore not suitable for deriving model parameters. It was thought that this could only be achieved by using data obtained from a batch flotation cell. A batch flotation cell has a distinct advantage of being suitable for generating, rapidly, large amount of data. However, the non-steady behaviour of froths found in this type of cell require a robust methodology for extracting the necessary parameters. In return this methodology was developed in this thesis. The main hypothesis of this methodology is that batch flotation performance, in terms of recovery, can be adequately approximated by treating a batch test as if it consists of a series of tests carried out in continuously operated flotation cells. Each flotation time interval is regarded as a single stage. Treating batch data in this manner allows for the derivation of desired kinetic parameters to describe flotation performance. 2015-01-01T12:41:40Z 2015-01-01T12:41:40Z 2001 Doctoral Thesis Doctoral PhD http://hdl.handle.net/11427/10851 eng application/pdf University of Cape Town Faculty of Engineering and the Built Environment Department of Chemical Engineering
collection NDLTD
language English
format Doctoral Thesis
sources NDLTD
description To determine model parameters, a large data set was required. This is due to the semi-empirical nature of the proposed froth model. In this regard, the use of data obtained from continuously operated cells was therefore not suitable for deriving model parameters. It was thought that this could only be achieved by using data obtained from a batch flotation cell. A batch flotation cell has a distinct advantage of being suitable for generating, rapidly, large amount of data. However, the non-steady behaviour of froths found in this type of cell require a robust methodology for extracting the necessary parameters. In return this methodology was developed in this thesis. The main hypothesis of this methodology is that batch flotation performance, in terms of recovery, can be adequately approximated by treating a batch test as if it consists of a series of tests carried out in continuously operated flotation cells. Each flotation time interval is regarded as a single stage. Treating batch data in this manner allows for the derivation of desired kinetic parameters to describe flotation performance.
author2 Franzidis, J-P
author_facet Franzidis, J-P
Mathe, Z T
author Mathe, Z T
spellingShingle Mathe, Z T
Modelling the influence of the froth phase on recovery in batch and continuous flotation cells
author_sort Mathe, Z T
title Modelling the influence of the froth phase on recovery in batch and continuous flotation cells
title_short Modelling the influence of the froth phase on recovery in batch and continuous flotation cells
title_full Modelling the influence of the froth phase on recovery in batch and continuous flotation cells
title_fullStr Modelling the influence of the froth phase on recovery in batch and continuous flotation cells
title_full_unstemmed Modelling the influence of the froth phase on recovery in batch and continuous flotation cells
title_sort modelling the influence of the froth phase on recovery in batch and continuous flotation cells
publisher University of Cape Town
publishDate 2015
url http://hdl.handle.net/11427/10851
work_keys_str_mv AT mathezt modellingtheinfluenceofthefrothphaseonrecoveryinbatchandcontinuousflotationcells
_version_ 1719369089834549248