Artificial neural network prediction of heat-treatment hardness and abrasive wear resistance of High-Vanadium High-Speed Steel (HVHSS)

Author： Liujie Xu Jiandong Xing Shizhong Wei Tao Peng Yongzhen Zhang Rui Long

Publisher： Springer Publishing Company

ISSN： 0022-2461

Source： Journal of Materials Science, Vol.42, Iss.8, 2007-04, pp. : 2565-2573

Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.

Previous Menu Next

Abstract

Related content

Abrasive wear of high speed steels: Influence of abrasive particles and primary carbides on wear resistance

By Badisch E. Mitterer C.

Tribology International, Vol. 36, Iss. 10, 2003-10 ,pp. : 765-770

Elsevier

Access to resources Recommend Favorite

Wear and thermal behaviour of M2 high-speed steel reinforced with NbC composite

By Zapata W. C Da Costa C. E Torralba J. M

Journal of Materials Science, Vol. 33, Iss. 12, 1998-06 ,pp. : 3219-3225

Springer Publishing Company

Access to resources Recommend Favorite

Effects of modification and heat-treatment on the abrasive wear behavior of hypereutectic Al–Si alloys

By Xu C. Yang Y. Wang H. Jiang Q.

Journal of Materials Science, Vol. 42, Iss. 15, 2007-08 ,pp. : 6331-6338

Springer Publishing Company

Access to resources Recommend Favorite

The influence of primary carbides and test parameters on abrasive and erosive wear of selected PM high speed steels

By Bergman F. Hedenqvist P. Hogmark S.

Tribology International, Vol. 30, Iss. 3, 1997-01 ,pp. : 183-191

Elsevier

Access to resources Recommend Favorite

Influence of Deep-Cryogenic Treatment on Tribological Properties of P/M High-Speed Steel

By Podgornik B.

Materials and Manufacturing Processes, Vol. 24, Iss. 7-8, 2009-07 ,pp. : 734-738

Taylor & Francis Ltd

Access to resources Recommend Favorite