| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 10640225 | Materials Science and Engineering: B | 2005 | 7 Pages |
Abstract
An artificial neural network (ANN) methodology was applied to relate the powder-milling process parameters to the magnetic properties of Fe-10%Ni and Fe-20%Ni alloy materials. An optimization procedure based on ANN training and testing steps has been developed to predict magnetic properties over a large range of process parameters. A good agreement was found between experimental and predicted results with an average standard deviation between experimental and predicted values less than 6%. The following features have been anticipated:
Related Topics
Physical Sciences and Engineering
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Authors
R. Hamzaoui, S. Guessasma, O. ElKedim, E. Gaffet,