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Başlık: Phase identification of La-doped hard magnetic barium ferrite using artificial neural network
Yazarlar: Özkan, Hüsnü
Sözeri, Hüseyin
Uludağ Üniversitesi/Fen-Edebiyat Fakültesi/Fizik Anabilim Dalı.
Küçük, İlker Semih
6602910810
Anahtar kelimeler: 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
Yayın Tarihi: Oca-2011
Yayıncı: Springer
Atıf: 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.
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.
URI: https://doi.org/10.1007/s10948-010-0937-z
https://aperta.ulakbim.gov.tr/record/92243#.Yfj7AepByM8
http://hdl.handle.net/11452/24515
ISSN: 1557-1939
Koleksiyonlarda Görünür:Scopus
Web of Science

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