Další formáty:
BibTeX
LaTeX
RIS
@inproceedings{25861, author = {Kmec, Ján and Michal, Peter and Vagaská, Alena and Gombár, Miroslav and Hošovský, Alexandr}, doi = {http://dx.doi.org/10.1109/SAMI.2014.6822447}, keywords = {anodizing; layer thickness; neural unit; thin films}, language = {eng}, title = {Monitoring of influence of significant parameters during anodizing of aluminium}, year = {2014} }
TY - JOUR ID - 25861 AU - Kmec, Ján - Michal, Peter - Vagaská, Alena - Gombár, Miroslav - Hošovský, Alexandr PY - 2014 TI - Monitoring of influence of significant parameters during anodizing of aluminium KW - anodizing KW - layer thickness KW - neural unit KW - thin films N2 - The paper deals with the possibilities of control the technological process of aluminium anodic oxidation using the Design of Experiments (DoE) and the higher order neural unit to monitor the influence of the significant parameters on the resulting AAO (anodic aluminium oxide) film thickness. It also compares the relationship between individual inputs factors and their mutual interactions on the AAO thickness at monitored current density of 1.00 A·dm -2 and 6.00 A·dm-2. The developed predicted model describes the influence of input factors on the final AAO thickness by cubic function and its reliability is 99.37 % at current density of 1 A·dm -2 and 99.47% at current density of 6 A·dm-2. The electrolyte temperature and the size of an applied voltage had the most important influence. © 2014 IEEE. ER -
KMEC, Ján, Peter MICHAL, Alena VAGASKÁ, Miroslav GOMBÁR a Alexandr HOŠOVSKÝ. \textit{Monitoring of influence of significant parameters during anodizing of aluminium}. 2014. Dostupné z: https://dx.doi.org/10.1109/SAMI.2014.6822447.
|