Forecasting of characteristics fatigue durability of metals taking into account technology of processing on the basis of nejro-indistinct modelling

Abstract

Application efficiency of neural-fuzzy networks for metal fatigue life forecast subject to the surface treatment engineering impact was showed – by example of steel 30HGSNA after grinding and surfaceplastic deformation. It was showed that the application of these networks could be an alternative to analogous empirical dependences.