Automatic microstructural characterization and classification using artificial intelligence techniques on ultrasound signals

@article{Nunes2013AutomaticMC,
  title={Automatic microstructural characterization and classification using artificial intelligence techniques on ultrasound signals},
  author={Thiago M. Nunes and Victor Hugo C. de Albuquerque and Jo{\~a}o Paulo Papa and Cleiton C. Silva and Paulo G. Normando and Elineudo P. Moura and Jo{\~a}o Manuel R. S. Tavares},
  journal={Expert Syst. Appl.},
  year={2013},
  volume={40},
  pages={3096-3105}
}
Secondary phases such as Laves and carbides are formed during the final solidification stages of nickel based superalloy coatings deposited during the gas tungsten arc welding cold wire process. However, when aged at high temperatures, other phases can precipitate in the microstructure, like the γ′′ and δ phases. This work presents a new application and evaluation of artificial intelligent techniques to classify (the background echo and backscattered) ultrasound signals in order to characterize… CONTINUE READING