No Cover Image

E-Thesis 494 views 317 downloads

Hot mill process parameters impacting on hot mill tertiary scale formation. / Jonathan Ian Kennedy

Swansea University Author: Jonathan Ian Kennedy

Abstract

For high end steel applications surface quality is paramount to deliver a suitable product. A major cause of surface quality issues is from the formation of tertiary scale. The scale formation depends on numerous factors such as thermo-mechanical processing routes, chemical composition, thickness an...

Full description

Published: 2012
Institution: Swansea University
Degree level: Doctoral
Degree name: EngD
URI: https://cronfa.swan.ac.uk/Record/cronfa42262
first_indexed 2018-08-02T18:54:17Z
last_indexed 2018-08-03T10:09:41Z
id cronfa42262
recordtype RisThesis
fullrecord <?xml version="1.0"?><rfc1807><datestamp>2018-08-02T16:24:28.6045852</datestamp><bib-version>v2</bib-version><id>42262</id><entry>2018-08-02</entry><title>Hot mill process parameters impacting on hot mill tertiary scale formation.</title><swanseaauthors><author><sid>7235918655aa333e26b1697eae14bd01</sid><ORCID>NULL</ORCID><firstname>Jonathan Ian</firstname><surname>Kennedy</surname><name>Jonathan Ian Kennedy</name><active>true</active><ethesisStudent>true</ethesisStudent></author></swanseaauthors><date>2018-08-02</date><abstract>For high end steel applications surface quality is paramount to deliver a suitable product. A major cause of surface quality issues is from the formation of tertiary scale. The scale formation depends on numerous factors such as thermo-mechanical processing routes, chemical composition, thickness and rolls used. This thesis utilises a collection of data mining techniques to better understand the influence of Hot Mill process parameters on scale formation at Port Talbot Hot Strip Mill in South Wales. The dataset to which these data mining techniques were applied was carefully chosen to reduce process variation. There are several main factors that were considered to minimise this variability including time period, grade and gauge investigated. The following data mining techniques were chosen to investigate this dataset: Partial Least Squares (PLS); Logit Analysis; Principle Component Analysis (PCA); Multinomial Logistical Regression (MLR); Adaptive Neuro Inference Fuzzy Systems (ANFIS). The analysis indicated that the most significant variable for scale formation is the temperature entering the finishing mill. If the temperature is controlled on entering the finishing mill scale will not be formed. Values greater than 1070 &amp;deg;C for the average Roughing Mill and above 1050 &amp;deg;C for the average Crop Shear temperature are considered high, with values greater than this increasing the chance of scale formation. As the temperature increases more scale suppression measures are required to limit scale formation, with high temperatures more likely to generate a greater amount of scale even with fully functional scale suppression systems in place. Chemistry is also a significant factor in scale formation, with Phosphorus being the most significant of the chemistry variables. It is recommended that the chemistry specification for Phosphorus be limited to a maximum value of 0.015 % rather than 0.020 % to limit scale formation. Slabs with higher values should be treated with particular care when being processed through the Hot Mill to limit scale formation.</abstract><type>E-Thesis</type><journal/><journalNumber></journalNumber><paginationStart/><paginationEnd/><publisher/><placeOfPublication/><isbnPrint/><issnPrint/><issnElectronic/><keywords>Materials science.</keywords><publishedDay>31</publishedDay><publishedMonth>12</publishedMonth><publishedYear>2012</publishedYear><publishedDate>2012-12-31</publishedDate><doi/><url/><notes/><college>COLLEGE NANME</college><department>Engineering</department><CollegeCode>COLLEGE CODE</CollegeCode><institution>Swansea University</institution><degreelevel>Doctoral</degreelevel><degreename>EngD</degreename><apcterm/><lastEdited>2018-08-02T16:24:28.6045852</lastEdited><Created>2018-08-02T16:24:28.6045852</Created><path><level id="1">Faculty of Science and Engineering</level><level id="2">School of Engineering and Applied Sciences - Uncategorised</level></path><authors><author><firstname>Jonathan Ian</firstname><surname>Kennedy</surname><orcid>NULL</orcid><order>1</order></author></authors><documents><document><filename>0042262-02082018162440.pdf</filename><originalFilename>10797970.pdf</originalFilename><uploaded>2018-08-02T16:24:40.6800000</uploaded><type>Output</type><contentLength>4902464</contentLength><contentType>application/pdf</contentType><version>E-Thesis</version><cronfaStatus>true</cronfaStatus><embargoDate>2018-08-02T16:24:40.6800000</embargoDate><copyrightCorrect>false</copyrightCorrect></document></documents><OutputDurs/></rfc1807>
spelling 2018-08-02T16:24:28.6045852 v2 42262 2018-08-02 Hot mill process parameters impacting on hot mill tertiary scale formation. 7235918655aa333e26b1697eae14bd01 NULL Jonathan Ian Kennedy Jonathan Ian Kennedy true true 2018-08-02 For high end steel applications surface quality is paramount to deliver a suitable product. A major cause of surface quality issues is from the formation of tertiary scale. The scale formation depends on numerous factors such as thermo-mechanical processing routes, chemical composition, thickness and rolls used. This thesis utilises a collection of data mining techniques to better understand the influence of Hot Mill process parameters on scale formation at Port Talbot Hot Strip Mill in South Wales. The dataset to which these data mining techniques were applied was carefully chosen to reduce process variation. There are several main factors that were considered to minimise this variability including time period, grade and gauge investigated. The following data mining techniques were chosen to investigate this dataset: Partial Least Squares (PLS); Logit Analysis; Principle Component Analysis (PCA); Multinomial Logistical Regression (MLR); Adaptive Neuro Inference Fuzzy Systems (ANFIS). The analysis indicated that the most significant variable for scale formation is the temperature entering the finishing mill. If the temperature is controlled on entering the finishing mill scale will not be formed. Values greater than 1070 &deg;C for the average Roughing Mill and above 1050 &deg;C for the average Crop Shear temperature are considered high, with values greater than this increasing the chance of scale formation. As the temperature increases more scale suppression measures are required to limit scale formation, with high temperatures more likely to generate a greater amount of scale even with fully functional scale suppression systems in place. Chemistry is also a significant factor in scale formation, with Phosphorus being the most significant of the chemistry variables. It is recommended that the chemistry specification for Phosphorus be limited to a maximum value of 0.015 % rather than 0.020 % to limit scale formation. Slabs with higher values should be treated with particular care when being processed through the Hot Mill to limit scale formation. E-Thesis Materials science. 31 12 2012 2012-12-31 COLLEGE NANME Engineering COLLEGE CODE Swansea University Doctoral EngD 2018-08-02T16:24:28.6045852 2018-08-02T16:24:28.6045852 Faculty of Science and Engineering School of Engineering and Applied Sciences - Uncategorised Jonathan Ian Kennedy NULL 1 0042262-02082018162440.pdf 10797970.pdf 2018-08-02T16:24:40.6800000 Output 4902464 application/pdf E-Thesis true 2018-08-02T16:24:40.6800000 false
title Hot mill process parameters impacting on hot mill tertiary scale formation.
spellingShingle Hot mill process parameters impacting on hot mill tertiary scale formation.
Jonathan Ian Kennedy
title_short Hot mill process parameters impacting on hot mill tertiary scale formation.
title_full Hot mill process parameters impacting on hot mill tertiary scale formation.
title_fullStr Hot mill process parameters impacting on hot mill tertiary scale formation.
title_full_unstemmed Hot mill process parameters impacting on hot mill tertiary scale formation.
title_sort Hot mill process parameters impacting on hot mill tertiary scale formation.
author_id_str_mv 7235918655aa333e26b1697eae14bd01
author_id_fullname_str_mv 7235918655aa333e26b1697eae14bd01_***_Jonathan Ian Kennedy
author Jonathan Ian Kennedy
author2 Jonathan Ian Kennedy
format E-Thesis
publishDate 2012
institution Swansea University
college_str Faculty of Science and Engineering
hierarchytype
hierarchy_top_id facultyofscienceandengineering
hierarchy_top_title Faculty of Science and Engineering
hierarchy_parent_id facultyofscienceandengineering
hierarchy_parent_title Faculty of Science and Engineering
department_str School of Engineering and Applied Sciences - Uncategorised{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Engineering and Applied Sciences - Uncategorised
document_store_str 1
active_str 0
description For high end steel applications surface quality is paramount to deliver a suitable product. A major cause of surface quality issues is from the formation of tertiary scale. The scale formation depends on numerous factors such as thermo-mechanical processing routes, chemical composition, thickness and rolls used. This thesis utilises a collection of data mining techniques to better understand the influence of Hot Mill process parameters on scale formation at Port Talbot Hot Strip Mill in South Wales. The dataset to which these data mining techniques were applied was carefully chosen to reduce process variation. There are several main factors that were considered to minimise this variability including time period, grade and gauge investigated. The following data mining techniques were chosen to investigate this dataset: Partial Least Squares (PLS); Logit Analysis; Principle Component Analysis (PCA); Multinomial Logistical Regression (MLR); Adaptive Neuro Inference Fuzzy Systems (ANFIS). The analysis indicated that the most significant variable for scale formation is the temperature entering the finishing mill. If the temperature is controlled on entering the finishing mill scale will not be formed. Values greater than 1070 &deg;C for the average Roughing Mill and above 1050 &deg;C for the average Crop Shear temperature are considered high, with values greater than this increasing the chance of scale formation. As the temperature increases more scale suppression measures are required to limit scale formation, with high temperatures more likely to generate a greater amount of scale even with fully functional scale suppression systems in place. Chemistry is also a significant factor in scale formation, with Phosphorus being the most significant of the chemistry variables. It is recommended that the chemistry specification for Phosphorus be limited to a maximum value of 0.015 % rather than 0.020 % to limit scale formation. Slabs with higher values should be treated with particular care when being processed through the Hot Mill to limit scale formation.
published_date 2012-12-31T08:38:05Z
_version_ 1830268735373443072
score 11.0597

Similar Items