Author： Tercelj M. Perus I. Turk R.
Publisher： Elsevier
ISSN： 0301-679X
Source： Tribology International, Vol.36, Iss.8, 2003-08, pp. : 573-583
Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.
Abstract
Related content
Prediction and Detection of Wear Mechanisms on an Industry-Oriented Hot Forging Die
Advanced Materials Research, Vol. 2016, Iss. 1140, 2016-10 ,pp. :
Access to resources
Recommend
Wear volume prediction with artificial neural networks
By Velten K. Reinicke R. Friedrich K.
Tribology International, Vol. 33, Iss. 10, 2000-10 ,pp. :
The Present Situation and Developing Trends of Hot Closed-Die Forging
Advanced Materials Research, Vol. 2015, Iss. 1094, 2015-04 ,pp. :
Prediction of fracture toughness using artificial neural networks (ANNs)
Engineering Fracture Mechanics, Vol. 56, Iss. 3, 1997-02 ,pp. :