ANN modeling of nickel base super alloys for time dependent deformation
Alloys 617 and 276 are nickel-based super alloys with excellent mechanical properties, oxidation, creepresistance, and phase stability at high temperatures. These alloys are used in complex and stochastic applications. Thus, it is difficult to predict their output characteristics mathematicall...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Engineering and Technology Publishing
2014
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/35011/ http://irep.iium.edu.my/35011/ http://irep.iium.edu.my/35011/1/20140114114624455.pdf |
| Summary: | Alloys 617 and 276 are nickel-based super alloys
with excellent mechanical properties, oxidation, creepresistance,
and phase stability at high temperatures. These
alloys are used in complex and stochastic applications. Thus,
it is difficult to predict their output characteristics
mathematically. Therefore, the non-conventional methods
for modeling become more effective. These two alloys have
been subjected to time-dependent deformation at high
temperatures under sustained loading of different values.
The creep results have been used to develop the new models.
Artificial neural network (ANN) was applied to predict the
creep rate and the anelastic elongation for the two alloys.
The neural network contains twenty hidden layer with feed
forward back propagation hierarchical. The neural network
has been designed with MATLAB Neural Network Toolbox.
The results show a high correlation between the predicted
and the observed results which indicates the validity of the
models.
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