Niobium Effects on the Recrystallization Behavior on a Full Austenitic 15Cr-15Ni Stainless Steel Investigated Using Adaptive Neural Networks (ANN)
Contribuinte(s) |
UNIVERSIDADE DE SÃO PAULO |
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Data(s) |
06/11/2013
06/11/2013
2012
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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 |
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 |