Neural network modelling of flow stress and mechanical properties for hot strip rolling of TRIP steel using efficient learning algorithm

Author： Das S K

Publisher： Maney Publishing

ISSN： 1743-2812

Source： Ironmaking & Steelmaking, Vol.40, Iss.4, 2013-05, pp. : 298-304

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

Mathematical modelling of hot rolling steel strip

By Colás R.

Materials Science and Technology, Vol. 14, Iss. 5, 1998-05 ,pp. : 388-393

Maney Publishing

Access to resources Recommend Favorite

Modelling correlation between hot working parameters and flow stress of IN625 alloy using neural network

By Montakhab M. Behjati P.

Materials Science and Technology, Vol. 26, Iss. 5, 2010-05 ,pp. : 621-625

Maney Publishing

Access to resources Recommend Favorite

Modelling effect of hot rolling process variables on microstructure and mechanical properties of low carbon strip steels

By Sha X.C. Li D.Z. Zhang Y.T. Zhang X.G. Li Y.Y.

Ironmaking & Steelmaking, Vol. 31, Iss. 2, 2004-04 ,pp. : 169-175

Maney Publishing

Access to resources Recommend Favorite

Estimation of mechanical properties of steel strip in hot dip galvanising lines

By Ordieres Meré J.B. González Marcos A. González J.A. Lobato Rubio V.

Ironmaking & Steelmaking, Vol. 31, Iss. 1, 2004-02 ,pp. : 43-50

Maney Publishing

Access to resources Recommend Favorite

Modelling flow stress behaviour of aluminium alloys during hot rolling

By Serajzadeh S.

Materials Science and Technology, Vol. 22, Iss. 6, 2006-06 ,pp. : 713-718

Maney Publishing

Access to resources Recommend Favorite