Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
1623338 | Journal of Alloys and Compounds | 2008 | 9 Pages |
Abstract
Fe-20% Ni alloys were prepared using a planetary ball mill P4 vario ball mill from Fritsch (with different milling conditions (Ω/Ï), Ω and Ï being the disc and the vial rotation speeds, respectively). An artificial neural network (ANN) methodology was applied to rely the powder milling process parameters (Ω/Ï) to the structure and magnetic properties of the Fe-20% alloys. An optimization procedure based on ANN training and testing steps was developed to predict structure and magnetic properties over a large range of process parameters. The following features have been anticipated:
Related Topics
Physical Sciences and Engineering
Materials Science
Metals and Alloys
Authors
R. Hamzaoui, S. Guessasma, O. ElKedim,