Artificial neural network and ANFIS approaches for mechanical properties prediction and optimization of a turbine blade treated by laser shock peening

Author:

Ayeb ManelORCID,Turki Mourad,Frija Mounir,Fathallah Raouf

Publisher

Elsevier BV

Reference49 articles.

1. October). Laser shock processing and its effects on microstructure and properties of metal alloys: A review;Montross;International Journal of Fatigue,2002

2. 3-D FEM simulation of laser shock processing;Yongxiang;Surface and Coating Technology,2006

3. Finite element prediction of laser shock peened surface modifications in Ti-6Al-4Valloy;Frija;KeyEng Mater, Advan Fract Damage Mech VIII.,2010

4. Improvement of fatigue life of Ti-6Al-4V alloy by laser shock peening;Zhang;Materials Science and Engineering A,2010

5. Optimizing residual stress profile induced by laser shock peening using DOE technique;Frija;Applied Mechanics and Materials,2012

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