Full Text Available

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

A quality control model for the development of high-confidence flotation test data

This thesis addresses the problem of obtaining reliable laboratory scale flotation test data for the Merensky ore type found in the Bushveld complex of South Africa. The complex nature of the platinum-group element (PGE) deportment in this ore renders the normally-practiced procedures inappropriate...

Full description

Saved in:
Bibliographic Details
Main Author: Lotter, Norman Owen
Other Authors: O'Connor, C T
Format: Thesis
Language:English
Published: Department of Chemical Engineering 2016
Subjects:
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1867613157922439168
access_status_str Open Access
author Lotter, Norman Owen
author2 O'Connor, C T
author_browse Lotter, Norman Owen
O'Connor, C T
author_facet O'Connor, C T
Lotter, Norman Owen
author_sort Lotter, Norman Owen
collection Thesis
description This thesis addresses the problem of obtaining reliable laboratory scale flotation test data for the Merensky ore type found in the Bushveld complex of South Africa. The complex nature of the platinum-group element (PGE) deportment in this ore renders the normally-practiced procedures inappropriate for this particular testwork. A more robust and thorough procedure is necessary because of the diverse mineralogical forms in which the PGE are found. The evaluation of the mass and value balances has accordingly to take these factors into account. The major features of the evaluation of input and output errors across the laboratory scale flotation test are analysed. It is found that unless size-by-size variance of PGE in a conventionally crushed mill feed is taken into account the mill feed sample size is underestimated by some 176%. Further the preparation of a reference distribution of assayed head material is necessary to provide the 95% confidence limits of grade estimate. The need for repeating flotation tests and compositing the adjudicated products is discussed, concluding that quintuplicates are suitable to achieve a desirable level of confidence in the built-up head grade. The sample preparation of the flotation products has a critical role in minimising evaluation errors, as is the case with fire assaying of samples where minimum numbers of replicate determinations have been calculated. An outlier rejection model for adjudication of the replicate built-up head grades is proposed, and a complete flowsheet of the quality control model is developed from first principles. The effect of this model on the PGE total balance is analysed. It is concluded that workable controls are defined, since a metal balance with < 1% error has been achieved.
format Thesis
id oai:open.uct.ac.za:11427/18298
institution University of Cape Town (South Africa)
language eng
last_indexed 2026-06-10T12:31:41.113Z
license_str Not specified — see source repository
provenance_str_mv Harvested via OAI-PMH from UCTD — University of Cape Town Open Access Repository
publishDate 2016
publishDateRange 2016
publishDateSort 2016
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:11427/18298 A quality control model for the development of high-confidence flotation test data Lotter, Norman Owen O'Connor, C T Chemical Engineering This thesis addresses the problem of obtaining reliable laboratory scale flotation test data for the Merensky ore type found in the Bushveld complex of South Africa. The complex nature of the platinum-group element (PGE) deportment in this ore renders the normally-practiced procedures inappropriate for this particular testwork. A more robust and thorough procedure is necessary because of the diverse mineralogical forms in which the PGE are found. The evaluation of the mass and value balances has accordingly to take these factors into account. The major features of the evaluation of input and output errors across the laboratory scale flotation test are analysed. It is found that unless size-by-size variance of PGE in a conventionally crushed mill feed is taken into account the mill feed sample size is underestimated by some 176%. Further the preparation of a reference distribution of assayed head material is necessary to provide the 95% confidence limits of grade estimate. The need for repeating flotation tests and compositing the adjudicated products is discussed, concluding that quintuplicates are suitable to achieve a desirable level of confidence in the built-up head grade. The sample preparation of the flotation products has a critical role in minimising evaluation errors, as is the case with fire assaying of samples where minimum numbers of replicate determinations have been calculated. An outlier rejection model for adjudication of the replicate built-up head grades is proposed, and a complete flowsheet of the quality control model is developed from first principles. The effect of this model on the PGE total balance is analysed. It is concluded that workable controls are defined, since a metal balance with < 1% error has been achieved. 2016-03-28T14:38:05Z 2016-03-28T14:38:05Z 1995 Master Thesis Masters MSc (Chem Eng) http://hdl.handle.net/11427/18298 eng application/pdf Department of Chemical Engineering Faculty of Engineering and the Built Environment University of Cape Town
spellingShingle Chemical Engineering
Lotter, Norman Owen
A quality control model for the development of high-confidence flotation test data
thesis_degree_str Master's
title A quality control model for the development of high-confidence flotation test data
title_full A quality control model for the development of high-confidence flotation test data
title_fullStr A quality control model for the development of high-confidence flotation test data
title_full_unstemmed A quality control model for the development of high-confidence flotation test data
title_short A quality control model for the development of high-confidence flotation test data
title_sort quality control model for the development of high confidence flotation test data
topic Chemical Engineering
url http://hdl.handle.net/11427/18298
work_keys_str_mv AT lotternormanowen aqualitycontrolmodelforthedevelopmentofhighconfidenceflotationtestdata
AT lotternormanowen qualitycontrolmodelforthedevelopmentofhighconfidenceflotationtestdata