Niobium effects on the recrystallization behavior on a full austenitic 15Cr-15Ni stainless steel investigated using Adaptive Neural Networks (ANN)

摘要：

A new series of austenitic stainless steels-Nb stabilized, without Mo additions, nonsusceptible 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).

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

作者单位: Villares Metals S.A., Rua Alfredo Dumont Villares, 155 -Sumaré, SP, Brasil, CEP 13178-902 University of S.o Paulo-Dept.Of Metallurgical and Materials Engineering Av Prof.Mello Moares 2463-S.

会议类型: 国际会议

会议名称: The 6th International Conference on Physical and Numerical Simulation of Materials Processing(第六届材料与热加工物理模拟及数值模拟国际学术会议 ICPNS 2010)

会议地点: 桂林

会议语种:英文

页码: 1-11

在线出版日期: 2010-11-16（万方平台首次上网日期，不代表论文的发表时间）