Simulation and prediction of the attenuation behaviour of the KNN-LMN-based lead-free ceramics by FLUKA code and artificial neural network (ANN)-based algorithm


AKKURT İ. , Boodaghi Malidarreh P., Boodaghi Malidarre R.

ENVIRONMENTAL TECHNOLOGY, 2021 (Journal Indexed in SCI) identifier identifier

  • Publication Type: Article / Article
  • Publication Date: 2021
  • Doi Number: 10.1080/09593330.2021.2008017
  • Title of Journal : ENVIRONMENTAL TECHNOLOGY
  • Keywords: FLUKA simulation, radioisotope source, ANN algorithm, HI-PROBE card

Abstract

The significance and novelty of the present work are the preparation of the non-lead ceramic by the general formula of (1-x) K0.5Na0.5NbO3-xLa Mn0.5Ni0.5O3 (KNN-LMN) with different x (0 . . . > (HVL)(x=0.25) is reported for half-value layer values against gamma photon. From the attained results, it can be concluded that increaisng the rate of x results in the better shielding proficiency in terms of neutron and gamma photon for chosen KNN-LMN-based lead-free ceramics.