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Determination of chromic acid and sodium dichromate in a concentrated electrolytic solution with the aid of Artificial Neural Networks
Dissertation (MSc)--University of Pretoria, 2009.
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University of Pretoria
2013
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| _version_ | 1867613528035164161 |
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| access_status_str | Open Access |
| author2 | Cukrowski, Ignacy |
| author_browse | Cukrowski, Ignacy |
| author_facet | Cukrowski, Ignacy |
| collection | Thesis |
| dc_rights_str_mv | © 2009, 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 (MSc)--University of Pretoria, 2009. |
| format | Thesis |
| id | oai:repository.up.ac.za:2263/29921 |
| institution | University of Pretoria (South Africa) |
| last_indexed | 2026-06-10T12:37:34.574Z |
| license_str | Other — see source repository |
| provenance_str_mv | Harvested via OAI-PMH from UPSpace — University of Pretoria Institutional Repository |
| publishDate | 2013 |
| publishDateRange | 2013 |
| publishDateSort | 2013 |
| 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:2263/29921 Determination of chromic acid and sodium dichromate in a concentrated electrolytic solution with the aid of Artificial Neural Networks Cukrowski, Ignacy s27443036@tuks.co.za Seepe, Alfred Hlabana Artificial neural networks Sodium dichromate Chromic acid Electrolytic process UCTD Dissertation (MSc)--University of Pretoria, 2009. The aim of this work is to quantify the concentration of chromic acid (CA) in a saturated solution of chromium trioxide and sodium dichromate using Artificial Neural Networks (ANNs). A set of titration curves was obtained by automated acid-base titration according to a factorial experimental design that was developed for this purpose. These titration curves were divided into three subsets, a learning, training and test set for use by ANNs. Once trained, ANNs have the ability to recognize, generalize and relate the input to a particular output. Concentration of chromic acid (CA), total chromium(VI) and/or dichromate was used as the outputs and titration curves as the inputs to ANNs. Our aim here was to establish whether ANNs would be able to predict the concentration of chromic acid with an absolute error below 1%. For real world problem, the neural networks are only given the inputs and are expected to produce reasonable outputs corresponding to that inputs without any prior ‘knowledge’ about theory involved – here, no interpretation of titration curves was performed by ANNs. The test set of data that was not used for learning process, was used to validate the performance of the neural networks, to verify whether the ANNs learned the input-output patterns properly and how well trained ANNs were able to predict the concentrations of chromic acid, dichromate and total chromium. A number of ANNs models have been considered by varying the number of neurons in the hidden layer and parameters related to the learning process. It has been shown that ANNs can predict the concentration of chromic acid with required accuracy. A number of factors that affect the performance of the neural networks, such as the number of points in a titration curve, number of test points and their distribution within the training set, has been investigated. This work demonstrates that ANNs can be used for online monitoring of an electrolytic industrial process to manufacture chromic acid. Chemistry unrestricted 2013-09-07T17:16:23Z 2009-12-08 2013-09-07T17:16:23Z 2009-09-02 2009-12-08 2009-11-29 Dissertation Seepe, AH 2009, Determination of chromic acid and sodium dichromate in a concentrated electrolytic solution with the aid of artificial neural networks, MSc dissertation, University of Pretoria, Pretoria, viewed yymmdd < http://hdl.handle.net/2263/29921 > E1496/ag http://hdl.handle.net/2263/29921 http://upetd.up.ac.za/thesis/available/etd-11292009-210310/ © 2009, 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 | Artificial neural networks Sodium dichromate Chromic acid Electrolytic process UCTD Determination of chromic acid and sodium dichromate in a concentrated electrolytic solution with the aid of Artificial Neural Networks |
| title | Determination of chromic acid and sodium dichromate in a concentrated electrolytic solution with the aid of Artificial Neural Networks |
| title_full | Determination of chromic acid and sodium dichromate in a concentrated electrolytic solution with the aid of Artificial Neural Networks |
| title_fullStr | Determination of chromic acid and sodium dichromate in a concentrated electrolytic solution with the aid of Artificial Neural Networks |
| title_full_unstemmed | Determination of chromic acid and sodium dichromate in a concentrated electrolytic solution with the aid of Artificial Neural Networks |
| title_short | Determination of chromic acid and sodium dichromate in a concentrated electrolytic solution with the aid of Artificial Neural Networks |
| title_sort | determination of chromic acid and sodium dichromate in a concentrated electrolytic solution with the aid of artificial neural networks |
| topic | Artificial neural networks Sodium dichromate Chromic acid Electrolytic process UCTD |
| url | http://hdl.handle.net/2263/29921 http://upetd.up.ac.za/thesis/available/etd-11292009-210310/ |