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, vol.24, pp.683-687, 2011 (SCI-Expanded) identifier identifier

  • Publication Type: Article / Article
  • Volume: 24
  • Publication Date: 2011
  • Doi Number: 10.1007/s10948-010-0937-z
  • Journal Name: JOURNAL OF SUPERCONDUCTIVITY AND NOVEL MAGNETISM
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Page Numbers: pp.683-687
  • Keywords: La doped, Barium ferrites, Hard magnetic materials, Modeling, Neural network, BAFE12O19, CORES
  • Middle East Technical University Affiliated: Yes

Abstract

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.