Proceedings of the 2016 2nd International Conference on Artificial Intelligence and Industrial Engineering (AIIE 2016)

Online Monitoring of Three Dimensional Ledge Profile of Aluminum Electrolytic Cell

Authors
Zhengguang Xu, Liling Song, Mingsheng Ju, Yu Xue
Corresponding Author
Zhengguang Xu
Available Online November 2016.
DOI
10.2991/aiie-16.2016.89How to use a DOI?
Keywords
aluminum electrolytic cell; ledge profile; finite difference method; node modification
Abstract

A ledge of certain thickness will be formed on the side wall of the cell during aluminum electrolysis process, its formation has a very important role for the normal production of aluminum electrolysis. First a three-dimensional unsteady heat transfer model with phase transformation is established by the finite difference method. Then the initial temperature field and the profile of initial ledge is calculated layer by layer and the nodes of ledge is corrected through iterative loop .Finally, the profile of the ledge will be simulated .It is found that the result calculated is good agreement with the test in cell .

Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2016 2nd International Conference on Artificial Intelligence and Industrial Engineering (AIIE 2016)
Series
Advances in Intelligent Systems Research
Publication Date
November 2016
ISBN
10.2991/aiie-16.2016.89
ISSN
1951-6851
DOI
10.2991/aiie-16.2016.89How to use a DOI?
Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Zhengguang Xu
AU  - Liling Song
AU  - Mingsheng Ju
AU  - Yu Xue
PY  - 2016/11
DA  - 2016/11
TI  - Online Monitoring of Three Dimensional Ledge Profile of Aluminum Electrolytic Cell
BT  - Proceedings of the 2016 2nd International Conference on Artificial Intelligence and Industrial Engineering (AIIE 2016)
PB  - Atlantis Press
SP  - 388
EP  - 392
SN  - 1951-6851
UR  - https://doi.org/10.2991/aiie-16.2016.89
DO  - 10.2991/aiie-16.2016.89
ID  - Xu2016/11
ER  -