Niobium Effects on the Recrystallization Behavior on a Full Austenitic 15Cr-15Ni Stainless Steel Investigated Using Adaptive Neural Networks (ANN)


Autoria(s): Haddad, Paulo de Tarso Rossi; Padilha, Angelo Fernando; Plaut, Ronald Lesley
Contribuinte(s)

UNIVERSIDADE DE SÃO PAULO

Data(s)

06/11/2013

06/11/2013

2012

Resumo

A new series of austenitic stainless steels-Nb stabilized, without Mo additions, non-susceptible to delta ferrite formation and devoid of intemetallic phases (sigma and chi), without deformation induced martensite is being developed, aiming at high temperature applications as well as for corrosive environments. The base steel composition is a 15Cr-15Ni with normal additions of Nb of 0.5, 1.0 and 2 wt%. Mechanical properties, oxidation and corrosion resistance already have been invetigated in previous papers. In this paper, the effects of Nb on the SFE, strain hardening and recrystallization resistance are evaluated with the help of Adaptive Neural Networks (ANN).

Identificador

Journal of Computational and Theoretical Nanoscience, Valencia, v. 9, n. 9, Special Issue, supl. 4, Part 1-2, pp. 1315-1319, SEP, 2012

1546-1955

http://www.producao.usp.br/handle/BDPI/41968

10.1166/jctn.2012.2193

http://dx.doi.org/10.1166/jctn.2012.2193

Idioma(s)

eng

Publicador

AMER SCIENTIFIC PUBLISHERS

VALENCIA

Relação

JOURNAL OF COMPUTATIONAL AND THEORETICAL NANOSCIENCE

Direitos

closedAccess

Copyright AMER SCIENTIFIC PUBLISHERS

Palavras-Chave #AUSTENITIC STAINLESS STEELS #NIOBIUM #RECRYSTALLIZATION #ADAPTIVE NEURAL NETWORKS #CHEMISTRY, MULTIDISCIPLINARY #NANOSCIENCE & NANOTECHNOLOGY #MATERIALS SCIENCE, MULTIDISCIPLINARY #PHYSICS, APPLIED #PHYSICS, CONDENSED MATTER
Tipo

article

Proceedings Paper

publishedVersion