A hybrid approach to the development of a multilayer neural network for wear and fatigue prediction in metal forming-Reference-Cited by-同舟云学术

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A hybrid approach to the development of a multilayer neural network for wear and fatigue prediction in metal forming

Published:2007-10 Issue:10-12 Volume:40 Page:1705-1717
ISSN:0301-679X
Container-title:Tribology International
language:en
Short-container-title:Tribology International

Author:

Belfiore N.P.,Ianniello F.,Stocchi D.,Casadei F.,Bazzoni D.,Finzi A.,Carrara S.,González J.R.,Llanos J.M.,Heikkila I.,Peñalba F.,Gómez X.

Publisher

Elsevier BV

Subject

Surfaces, Coatings and Films,Surfaces and Interfaces,Mechanical Engineering,Mechanics of Materials

Reference9 articles.

1. A review of spinning, shear forming and flow forming processes;Wong;Int J Mach Tools Manuf,2003

2. Modern metal forming technology for industrial production;Lange;J Mater Process Technol,1997

3. Effect of heat treatment of perform on the mechanical properties of flow formed AISI 4130 Steel Tubes—a theoretical and experimental assessment;Rajan;J Mater Process Technol,2002

4. Elastohydrodynamic lubrication with O/W emulsions;Zhu;ASME J Tribol,1994

5. On the flow of emulsions in tribological contacts;Szeri;Wear,1996

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