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

Journal of Computational and Theoretical Nanoscience

Volumn 9, Issue 9, 2012, Pages 1315-1319

  De Tarso Rossi Haddad, Paulo ^a   Padilha, Angelo Fernando ^b   Plaut, Ronald Lesley ^b  

^a Villares Metals S A   (Brazil)

^b UNIVERSITY OF SÃO PAULO   (Brazil)

Author keywords

Adaptive Neural Networks; Austenitic stainless steels; Niobium; Recrystallization

Indexed keywords

ADAPTIVE NEURAL NETWORKS; AUSTENITIC; CORROSIVE ENVIRONMENT; DEFORMATION-INDUCED MARTENSITE; DELTA FERRITE; MO ADDITIONS; RECRYSTALLIZATION RESISTANCE; STEEL COMPOSITIONS;

AUSTENITIC STAINLESS STEEL; CORROSION RESISTANCE; CRYSTALLIZATION; MECHANICAL PROPERTIES; NIOBIUM; RECRYSTALLIZATION (METALLURGY); STRAIN HARDENING;

NEURAL NETWORKS;

EID: 84865228437     PISSN: 15461955     EISSN: 15461963     Source Type: Journal    
DOI: 10.1166/jctn.2012.2193     Document Type: Conference Paper

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