Optimizing and modeling of MAO coatings by means of ANNs and DoE methods
Publish Year: 1397
Type: Conference paper
Language: English
View: 475
This Paper With 7 Page And PDF Format Ready To Download
- Certificate
- I'm the author of the paper
این Paper در بخشهای موضوعی زیر دسته بندی شده است:
Export:
Document National Code:
IMES12_082
Index date: 1 May 2019
Optimizing and modeling of MAO coatings by means of ANNs and DoE methods abstract
An artificial neural network (ANN) was used to predict the corrosion resistance of MAO (microarc oxidation) coatings on an Mg alloy with the aid of experimental data from Taguchi method.MAO coating parameters including chemical composition, current density, frequency and dutycycle were employed as inputs and the corrosion resistance as output data. According to thesimulation results in training stage, high correlation coefficient was achieved between predictedand measured values. It was observed that the proposed ANN model was capable to predictcorrosion resistance with high efficiency.
Optimizing and modeling of MAO coatings by means of ANNs and DoE methods Keywords:
Optimizing and modeling of MAO coatings by means of ANNs and DoE methods authors
Shahri
PhD student Metallurgy and Materials Engineering
S.R Allahkaram
Professor (Full Professor) Metallurgy and Materials Engineering
Soltani
Professor (Assistant) Metallurgy and Materials Engineering
Jafari
Professor (Assistant) Metallurgy and Materials Engineering