Modellingphotocatalytic degradation of Azur (II) usingBiOI/BiOBr/BiPO4nanoparticles under blue light irradiation using diffusional neuralnetworks

To study this photodegradation, central composite design (CCD) under response surface methodology(RSM) was applied to design a systematic set of experiments. The CCD was used to investigate the significance of theeffects of parameters including irradiation time, amount of photocatalyst and initial dye concentration that designed byusing the DESIGN EXPORT 7. ) that leading to 20 runs for the optimization process consists of 2nfactorial points with2n axial points and Nc central points to estimate the experimental error (reproducibility of the data). The axial pointsare located at distance of from centre and make the design rotatable.Artificial Neural network method is employed toestimate photocatalytic degradation blue light irradiation catalyzed by BiOI/BiOBr/BiOPO4.

Keywords:

Artificial Neural network , photocatalytic degradation , BiOI/BiOBr/BiPO4