TY  - JOUR
AU  - Belfiore, N. P.
AU  - Ianniello, F.
AU  - Stocchi, D.
AU  - Casadei, F.
AU  - Bazzoni, D.
AU  - Finzi, A.
AU  - Carrara, S.
AU  - González, J. R.
AU  - Llanos, J. M.
AU  - Heikkila, I.
AU  - Peñalba, F.
AU  - Gómez, X.
PY  - 2007
DO  - 10.1016/j.triboint.2007.01.008
SN  - 0301-679X
UR  - https://hdl.handle.net/11556/4399
AB  - In this paper an approach to surface damage prediction is proposed for the case of metal forming. The method is mainly based on three fundamental stages: (a) the detection of a feasible physical model which is able to give some important understanding...
LA  - eng
TI  - A hybrid approach to the development of a multilayer neural network for wear and fatigue prediction in metal forming
TY  - journal article
ER  -