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. 2015:2015:253568.
doi: 10.1155/2015/253568. Epub 2015 Apr 2.

Usage of neural network to predict aluminium oxide layer thickness

Affiliations

Usage of neural network to predict aluminium oxide layer thickness

Peter Michal et al. ScientificWorldJournal. 2015.

Abstract

This paper shows an influence of chemical composition of used electrolyte, such as amount of sulphuric acid in electrolyte, amount of aluminium cations in electrolyte and amount of oxalic acid in electrolyte, and operating parameters of process of anodic oxidation of aluminium such as the temperature of electrolyte, anodizing time, and voltage applied during anodizing process. The paper shows the influence of those parameters on the resulting thickness of aluminium oxide layer. The impact of these variables is shown by using central composite design of experiment for six factors (amount of sulphuric acid, amount of oxalic acid, amount of aluminium cations, electrolyte temperature, anodizing time, and applied voltage) and by usage of the cubic neural unit with Levenberg-Marquardt algorithm during the results evaluation. The paper also deals with current densities of 1 A · dm(-2) and 3 A · dm(-2) for creating aluminium oxide layer.

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Figures

Figure 1
Figure 1
Influence of factors x 1 and x 4 on AAO layer thickness at current density 1 A·dm−2 and factor x 5 which is set to level −2.38.
Figure 2
Figure 2
Influence of factors x 1 and x 4 on AAO layer thickness at current density of 1 A·dm−2 and factor x 5 which is set to level −1.
Figure 3
Figure 3
Influence of factors x 1 and x 4 on AAO layer thickness at current density of 1 A·dm−2 and factor x 5 which is set to level 0.
Figure 4
Figure 4
Influence of factors x 1 and x 4 on AAO layer thickness at current density of 1 A·dm−2 and factor x 5 which is set to level 1.
Figure 5
Figure 5
Influence of factors x 1 and x 4 on AAO layer thickness at current density of 1 A·dm−2 and factor x 5 which is set to level 2.38.
Figure 6
Figure 6
Influence of factors x 1 and x 4 on AAO layer thickness for current density 3 A·dm−2 and factor x 5 which is set to level −2.38.
Figure 7
Figure 7
Influence of factors x 1 and x 4 on AAO layer thickness at current density of 3 A·dm−2 and factor x 5 which is set to level −1.
Figure 8
Figure 8
Influence of factors x 1 and x 4 on AAO layer thickness at current density of 3 A·dm−2 and factor x 5 which is set to level 0.
Figure 9
Figure 9
Influence of factors x 1 and x 4 on AAO layer thickness at current density of 3 A·dm−2 and factor x 5 which is set to level 1.
Figure 10
Figure 10
Influence of factors x 1 and x 4 on AAO layer thickness at current density of 3 A·dm−2 and factor x 5 which is set to level 2.38.
Figure 11
Figure 11
Influence of factors x 1 and x 4 on AAO layer thickness at current density of 1 A·dm−2 and factor x 6 which is set to level −2.38.
Figure 12
Figure 12
Influence of factors x 1 and x 4 on AAO layer thickness at current density of 1 A·dm−2 and factor x 6 which is set to level −1.
Figure 13
Figure 13
Influence of factors x 1 and x 4 on AAO layer thickness at current density of 1 A·dm−2 and factor x 6 which is set to level 0.
Figure 14
Figure 14
Influence of factors x 1 and x 4 on AAO layer thickness at current density of 1 A·dm−2 and factor x 6 which is set to level 1.
Figure 15
Figure 15
Influence of factors x 1 and x 4 on AAO layer thickness at current density of 1 A·dm−2 and factor x 6 which is set to level 2.38.
Figure 16
Figure 16
Influence of factors x 1 and x 4 on AAO layer thickness at current density 3 A·dm−2 and factor x 6 which is set to level −2.38.
Figure 17
Figure 17
Influence of factors x 1 and x 4 on AAO layer thickness at current density of 3 A·dm−2 and factor x 6 which is set to level −1.
Figure 18
Figure 18
Influence of factors x 1 and x 4 on AAO layer thickness at current density of 3 A·dm−2 and factor x 6 which is set to level 0.
Figure 19
Figure 19
Influence of factors x 1 and x 4 on AAO layer thickness at current density of 3 A·dm−2 and factor x 6 which is set to level 1.
Figure 20
Figure 20
Influence of factors x 1 and x 4 on AAO layer thickness at current density of 3 A·dm−2 and factor x 6 which is set to level 2.38.
Figure 21
Figure 21
Influence of factors x 2 and x 3 on AAO layer thickness at current density of 1 A·dm−2 and factor x 5 which is set to level −2.38.
Figure 22
Figure 22
Influence of factors x 2 and x 3 on AAO layer thickness at current density of 1 A·dm−2 and factor x 5 which is set to level −1.
Figure 23
Figure 23
Influence of factors x 2 and x 3 on AAO layer thickness at current density of 1 A·dm−2 and factor x 5 which is set to level 1.
Figure 24
Figure 24
Influence of factors x 2 and x 3 on AAO layer thickness at current density of 1 A·dm−2 and factor x 5 which is set to level 2.38.
Figure 25
Figure 25
Influence of factors x 2 and x 3 on AAO layer thickness at current density of 3 A·dm−2 and factor x 5 which is set to level −2.38.
Figure 26
Figure 26
Influence of factors x 2 and x 3 on AAO layer thickness at current density of 3 A·dm−2 and factor x 5 which is set to level −1.
Figure 27
Figure 27
Influence of factors x 2 and x 3 on AAO layer thickness at current density of 3 A·dm−2 and factor x 5 which is set to level 1.
Figure 28
Figure 28
Influence of factors x 2 and x 3 on AAO layer thickness at current density of 3 A·dm−2 and factor x 5 which is set to level 2.38.

References

    1. Baumeister J., Banhart J., Weber M. Aluminium foams for transport industry. Materials & Design. 1997;18(4–6):217–220. doi: 10.1016/s0261-3069(97)00050-2. - DOI
    1. Gombár M., Kmec J., Badida M., Sobotová L., Vagaská A., Michal P. The simulation of the temperature effects on the microhardness of anodic alumina oxide layers. Metalurgija. 2014;53(1):59–62.
    1. Badida M., Gombár M., Kmec J., Sobotová L., Vagaská A., Michal P. Štúdium vplyvu chemického zloženia elektrolytu na mikrotvrdosť vrstvy vytvorenej anodickou oxidáciou hliníka. Chemicke Listy. 2013;107:973–977.
    1. Salmalian K., Soleimani M. Modelling of energy absorption in square cross-section aluminum energy absorbers by hybrid ANFIS networks. International Journal of Mathematical Models and Methods in Applied Sciences. 2011;5(7):1154–1161.
    1. Michal P., Gombár M., Vagaská A., Piteľ J., Kmec J. Experimental study and modeling of the zinc coating thickness. Advanced Materials Research. 2013;712–715:382–386. doi: 10.4028/www.scientific.net/amr.712-715.382. - DOI

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