Prediction of damage evolution in forged aluminium metal matrix composites using a neural network approach
- 1 August 1998
- journal article
- Published by Elsevier in Journal of Materials Processing Technology
- Vol. 80-81, 507-512
- https://doi.org/10.1016/s0924-0136(98)00153-8
Abstract
No abstract availableThis publication has 3 references indexed in Scilit:
- Frictional behaviour of Al359/SiC/20p composite under isothermal and non-isothermal hot-working conditions as a function of surface roughnessJournal of Materials Processing Technology, 1997
- Numerical prediction of the development of particle stress in the forging of aluminium metal matrix compositesJournal of Materials Processing Technology, 1996
- Dislocation-particle interactions during high temperature deformation of two-phase aluminium alloysActa Metallurgica, 1987