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

作者：Rossi Haddad Paulo de Tarso; Padilha Angelo Fernando; Plaut Ronald Lesley^*

来源：Journal of Computational and Theoretical Nanoscience, 2012, 9(9): 1315-1319.

DOI：10.1166/jctn.2012.2193

• Austenitic Stainless Steels
• Niobium
• Recrystallization
• Adaptive Neural Networks

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).

• 出版日期2012-9