| MICHAL, Peter, Alena VAGASKÁ, Miroslav GOMBÁR, Ján KMEC, Emil SPIŠÁK a Miroslav BADIDA. Prediction of the effect of chemical composition of electrolyte on the thickness of anodic aluminium oxide layer. International Journal of Mathematical Models and Methods in Applied Sciences. USA: North Atlantic University Union NAUN, vol. 8, č. 1, s. 152-155. ISSN 1998-0140. 2014. |
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@article{25781,
author = {Michal, Peter and Vagaská, Alena and Gombár, Miroslav and Kmec, Ján and Spišák, Emil and Badida, Miroslav},
article_location = {USA},
article_number = {1},
keywords = {Aluminium anodic oxidation; Design of experiments; Prediction model},
language = {eng},
issn = {1998-0140},
journal = {International Journal of Mathematical Models and Methods in Applied Sciences},
title = {Prediction of the effect of chemical composition of electrolyte on the thickness of anodic aluminium oxide layer},
volume = {vol. 8},
year = {2014}
}
TY - JOUR
ID - 25781
AU - Michal, Peter - Vagaská, Alena - Gombár, Miroslav - Kmec, Ján - Spišák, Emil - Badida, Miroslav
PY - 2014
TI - Prediction of the effect of chemical composition of electrolyte on the thickness of anodic aluminium oxide layer
JF - International Journal of Mathematical Models and Methods in Applied Sciences
VL - vol. 8
IS - 1
SP - 152-155
EP - 152-155
PB - North Atlantic University Union NAUN
SN - 19980140
KW - Aluminium anodic oxidation
KW - Design of experiments
KW - Prediction model
N2 - 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·dm-2. The reliability of the developed model is 72.53 % with predetermined tolerance range of ±2·10-3 mm.
ER -
MICHAL, Peter, Alena VAGASKÁ, Miroslav GOMBÁR, Ján KMEC, Emil SPIŠÁK a Miroslav BADIDA. Prediction of the effect of chemical composition of electrolyte on the thickness of anodic aluminium oxide layer. \textit{International Journal of Mathematical Models and Methods in Applied Sciences}. USA: North Atlantic University Union NAUN, vol. 8, č.~1, s.~152-155. ISSN~1998-0140. 2014.
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