Characterization And Classification On Ultrasound Signals...
Microstructural characterization and classification on ultrasound signals Using DCT transformation in
PCA framework Masoud Vejdannik a, Ali Sadr b a,b School of Electrical Engineering, Iran University
of Science Technology (IUST), Narmak, Tehran 16844, Iran a
[email protected], b
[email protected] Abstract Purpose: Method: Results: Conclusions: Introduction Nb bearing nickel based
superalloys, like the Inconel 625 alloy studied here, exhibit an outstanding combination of mechanical
properties and resistance to pitting, crevice and intergranular corrosion due to the stiffening effect of
chromium, molybdenum and niobium in its nickel matrix. These properties make precipitation
hardening treatments unnecessary [ ]. The extraordinary ... Show more content on Helpwriting.net ...
This segregation and precipitation of the secondary phases can change the mechanical properties of
the alloy and decrease its resistance to corrosion [ ]. In addition, the Nb rich Laves phase has a low
melting point that causes an increase in the temperature solidification range, making the alloy
susceptible to solidification cracking [ ]. However, an adequate selection of the welding conditions can
minimize the formation of the Nb rich Laves phases and consequently, reduce its susceptibility to
solidification cracking. Therefore, it is also important to investigate the phase transformation process.
Nowadays, researchers are evaluating the use artificial intelligence techniques to characterize
microstructures. For example, Albuquerque, Filho, Cavalcante, and Tavares [ ] quantified the porosity
of synthetic materials from optical microscopic images successfully, and the solution proposed, which
was based on an artificial neuronal network (ANN), proved to be more reliable. Albuquerque, de
Alexandria, Cortez, and Tavares [ ] characterized the microstructures in images of nodular, grey, and
malleable cast irons using a multilayer perceptron
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