Article ID Journal Published Year Pages File Type
1623338 Journal of Alloys and Compounds 2008 9 Pages PDF
Abstract
Fe-20% Ni alloys were prepared using a planetary ball mill P4 vario ball mill from Fritsch (with different milling conditions (Ω/ω), Ω and ω 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/ω) 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
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