Yayın: Phase identification of La-doped hard magnetic barium ferrite using artificial neural network
Tarih
Kurum Yazarları
Küçük, İlker Semih
Yazarlar
Özkan, Hüsnü
Sözeri, Hüseyin
Danışman
Dil
Türü
Yayıncı:
Springer
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Özet
A model based on an artificial neural network (ANN) was designed for the simulation and estimation of 2 theta and intensity values obtained by X-Ray Diffraction (XRD) of pure and La-doped barium ferrite powders which have been synthesized in ammonium nitrate melt. Its performance is evaluated by the influences of different La content, sintering temperature, Fe/Ba ratio, and washed in HCl (or not washed in HCl) samples. The XRD patterns of samples estimated by the ANN agree well with the experimental values, indicating that the model is reliable and adequate.
Açıklama
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Konusu
Physics, La doped, Barium ferrites, Hard magnetic materials, Modeling, Neural network, BAFE12O19, Cores, Ammonium compounds, Barium, Barium compounds, Computer simulation, Ferrite, Ferrites, Gyrators, Magnetic materials, Sintering, X ray diffraction, X ray powder diffraction, Ammonium nitrate melt, Artificial neural network, Barium ferrites, Experimental values, Hard magnetic material, Intensity values, Model-based OPC, Phase identification, Sintering temperatures, XRD patterns, Neural networks
Alıntı
Sözeri, H. vd.(2011). "Phase identification of La-doped hard magnetic barium ferrite using artificial neural network". Journal of Superconductivity and Novel Magnetism, 24(1-2), 683-687.