Phase Identification of La-Doped Hard Magnetic Barium Ferrite Using Artificial Neural Network


Sozeri H., KÜÇÜK İ., Ozkan H.

JOURNAL OF SUPERCONDUCTIVITY AND NOVEL MAGNETISM, cilt.24, ss.683-687, 2011 (SCI İndekslerine Giren Dergi) identifier identifier

  • Cilt numarası: 24
  • Basım Tarihi: 2011
  • Doi Numarası: 10.1007/s10948-010-0937-z
  • Dergi Adı: JOURNAL OF SUPERCONDUCTIVITY AND NOVEL MAGNETISM
  • Sayfa Sayıları: ss.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.