Prediction of the effect of chemical composition of electrolyte on the thickness of anodic aluminium oxide layer

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F75081431%3A_____%2F14%3A00000431" target="_blank" >RIV/75081431:_____/14:00000431 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Prediction of the effect of chemical composition of electrolyte on the thickness of anodic aluminium oxide layer
Original language description
The paper describes some possibilities of control of technological process of anodic aluminium oxidation based on the experimental study and investigation of the influence of chemical composition of the used electrolytes on the thickness of the formed oxide layer. The influence of individual factors acting during the anodic oxide process has been investigated and based on the experimental results the prediction model was developed by the usage of neural networks, especially the cubic neural unit. The developed prediction model determines the layer thickness at surface current density 1 A x dm-2. The reliability of the developed model is 72.53 % with predetermined tolerance range of ?2 x 10-3 mm.
Czech name
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Czech description
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Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
CG - Electrochemistry
OECD FORD branch
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Publication year
2014
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical
International Journal of Mathematical Models and Methods in Applied Sciences
ISSN
1998-0140
e-ISSN
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Volume of the periodical
vol. 8
Issue of the periodical within the volume
1
Country of publishing house
US - UNITED STATES
Number of pages
4
Pages from-to
152-155
UT code for WoS article
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EID of the result in the Scopus database
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