Neural network modelling of forces and indirect prediction of tool wear in turning of grey cast iron with ceramic tool

ISSN： 1748-5711

Source： International Journal of Machining and Machinability of Materials, Vol.8, Iss.1-2, 2010-08, pp. : 55-75

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

Modelling of tool wear and surface roughness in hard turning using regression and artificial neural network

By Palanisamy P. Shanmugasundaram S.

International Journal of Machining and Machinability of Materials, Vol. 4, Iss. 1, 2008-10 ,pp. : 76-94

Inderscience Publishers

Access to resources Recommend Favorite

Investigation of chatter stability in boring tool and tool wear prediction using neural network

By Ramesh K.

International Journal of Materials and Product Technology, Vol. 46, Iss. 1, 2013-03 ,pp. : 47-70

Inderscience Publishers

Access to resources Recommend Favorite

WEAR MECHANISMS WHEN MACHINING GREY CAST IRON WITH CERAMIC TOOLS

By Brandt G. Mikus M. Senesan Z. Hogmark S.

Surface Engineering, Vol. 3, Iss. 3, 1987-01 ,pp. : 211-225

Maney Publishing

Access to resources Recommend Favorite

Modelling cutting power and tool wear in turning of aluminium matrix composites using Artificial Neural Networks

By Xu Liujie Davim J. Paulo

International Journal of Materials and Product Technology, Vol. 32, Iss. 2-3, 2008-06 ,pp. : 333-342

Inderscience Publishers

Access to resources Recommend Favorite

Modelling of CBN tool crater wear in finish hard turning

By Huang Yong Liang Steven Y.

The International Journal of Advanced Manufacturing Technology, Vol. 24, Iss. 9-10, 2004-11 ,pp. : 632-639

Springer Publishing Company

Access to resources Recommend Favorite