An ANFIS model for the prediction of flow stress of Ti600 alloy during hot deformation process
- 1 May 2011
- journal article
- Published by Elsevier BV in Computational Materials Science
- Vol. 50 (7), 2273-2279
- https://doi.org/10.1016/j.commatsci.2011.03.004
Abstract
No abstract availableThis publication has 21 references indexed in Scilit:
- Effect of hydrogen on the superplasticity of Ti600 alloyInternational Journal of Hydrogen Energy, 2010
- Application of neural networks to predict the elevated temperature flow behavior of a low alloy steelComputational Materials Science, 2008
- Application of evolving Takagi–Sugeno fuzzy model to nonlinear system identificationApplied Soft Computing, 2008
- Prediction of flow stress for carbon steels using recurrent self-organizing neuro fuzzy networksExpert Systems with Applications, 2007
- Development of processing maps for Al/SiCp composite using fuzzy logicJournal of the American Academy of Dermatology, 2007
- Hybrid modelling of aluminium–magnesium alloys during thermomechanical processing in terms of physically-based, neuro-fuzzy and finite element modelsActa Materialia, 2003
- On the flow localization concepts in the processing maps of titanium alloy Ti–24Al–20NbJournal of the American Academy of Dermatology, 2000
- Processing window of the near-α-titanium alloy TIMETAL-1100 to produce a fine-grained β-structureMaterials Science and Engineering: A, 1996
- The effects of alpha-case formation on the creep fracture properties of the high-temperature titanium alloy IMI834Journal of the American Academy of Dermatology, 1996
- ANFIS: adaptive-network-based fuzzy inference systemIEEE Transactions on Systems, Man, and Cybernetics, 1993