New starting points for the prediction of tool wear in hot forging

Formation of a sufficiently large database on tools for hot forging, which is necessary for successful prediction of wear at a given number of strokes, as well as for the prediction of the critical number of strokes when the acceptable tolerance of a forging is exceeded, is a relatively time-consumi...

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Veröffentlicht in:	International journal of machine tools & manufacture 2004-10, Vol.44 (12), p.1319-1331
Hauptverfasser:	Turk, R, Peruš, I, Terčelj, M
Format:	Artikel
Sprache:	eng
Schlagworte:	CAE neural networks Hot forging Tool life prediction Tool wear modelling
Online-Zugang:	Volltext
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