Full Text Available
Note: Clicking the button above will open the full text document at the original institutional repository in a new window.
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...
Saved in:
| Main Author: | |
|---|---|
| Other Authors: | |
| Format: | Thesis |
| Language: | English |
| Published: |
Department of Chemical Engineering
2015
|
| Tags: |
No Tags, Be the first to tag this record!
|
| _version_ | 1867613229176324096 |
|---|---|
| access_status_str | Open Access |
| author | Mathe, Z T |
| author2 | Franzidis, J-P |
| author_browse | Franzidis, J-P Mathe, Z T |
| author_facet | Franzidis, J-P Mathe, Z T |
| author_sort | Mathe, Z T |
| collection | Thesis |
| 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. |
| format | Thesis |
| id | oai:open.uct.ac.za:11427/10851 |
| institution | University of Cape Town (South Africa) |
| language | eng |
| last_indexed | 2026-06-10T12:32:47.627Z |
| license_str | Not specified — see source repository |
| provenance_str_mv | Harvested via OAI-PMH from UCTD — University of Cape Town Open Access Repository |
| publishDate | 2015 |
| publishDateRange | 2015 |
| publishDateSort | 2015 |
| publisher | Department of Chemical Engineering |
| publisherStr | Department of Chemical Engineering |
| record_format | dspace |
| source_str | UCTD — University of Cape Town Open Access Repository |
| spelling | oai:open.uct.ac.za:11427/10851 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 Department of Chemical Engineering Faculty of Engineering and the Built Environment University of Cape Town |
| spellingShingle | Mathe, Z T Modelling the influence of the froth phase on recovery in batch and continuous flotation cells |
| thesis_degree_str | Doctoral |
| title | 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_short | 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 |
| url | http://hdl.handle.net/11427/10851 |
| work_keys_str_mv | AT mathezt modellingtheinfluenceofthefrothphaseonrecoveryinbatchandcontinuousflotationcells |