Usage of neural network to predict aluminium oxide layer thickness
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 …
of sulphuric acid in electrolyte, amount of aluminium cations in electrolyte and amount of …
[PDF][PDF] Prediction of the effect of chemical composition of electrolyte on the thickness of anodic aluminium oxide layer
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 …
aluminium oxidation based on the experimental study and investigation of the influence of …
The influence of input factors of aluminium anodizing process on resulting thickness and quality of aluminium oxide layer
In order to optimize the technological process of aluminium anodic oxidation, the
possibilities of usage of sodium chloride in the electrolyte has been studied, since very small …
possibilities of usage of sodium chloride in the electrolyte has been studied, since very small …
Analysis of the Adhesion of the Surface Layer Formed due to Cataphoresis Coating
P Fejko, RB Bali, J Dobránsky - TEM Journal, 2023 - ceeol.com
The paper focuses on the cross-cut test, which serves as a basis for determining the
adhesion test on the surface of aluminium parts. The coating adhesion test was performed …
adhesion test on the surface of aluminium parts. The coating adhesion test was performed …
Application of neural networks to evaluate experimental data of galvanic zincing
In order to improve corrosion resistance of alloy S355 EN 1025, the relationship between the
thickness of zinc coating created during the process of acidic galvanic zincing and factors …
thickness of zinc coating created during the process of acidic galvanic zincing and factors …
The application of predictive model to describe and control technological process
M Peter, V Alena, F Erika, G Miroslav… - 2015 International …, 2015 - ieeexplore.ieee.org
This paper shows an important influence of amount of sulphuric acid in electrolyte on
thickness of aluminium oxide layer created with varying electrolyte temperature. Impact of …
thickness of aluminium oxide layer created with varying electrolyte temperature. Impact of …
Modelling of the anodizing process of aluminum using neural networks
The aim of the research work was to present some possibilities of control and optimization of
the technological process of aluminum anodic oxidation using neural networks and Design …
the technological process of aluminum anodic oxidation using neural networks and Design …
[PDF][PDF] Using Neural Networks to Design Predictive Model of Creation of Aluminium Oxide Layer
This paper shows an influence of amount of sulphuric acid in the electrolyte and an impact of
electrolyte temperature on the thickness of aluminium oxide layer created with varying …
electrolyte temperature on the thickness of aluminium oxide layer created with varying …
Determination of Relationship between Chemical Composition of Electrolyte and Surface Sample Quality
Paper tracks experimentally confirmed relationship between chemical composition of
electrolyte and resulting surface finish quality of created oxide layer during the process of …
electrolyte and resulting surface finish quality of created oxide layer during the process of …
[PDF][PDF] Research Article Usage of Neural Network to Predict Aluminium Oxide Layer Thickness
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 …
of sulphuric acid in electrolyte, amount of aluminium cations in electrolyte and amount of …