Artificial neural network and constitutive equations to predict the hot deformation behavior of modified 2.25Cr-1Mo steel

Materials and Design

Volumn 42, Issue , 2012, Pages 192-197

  Li, Hong Ying ^a   Hu, Ji Dong ^a   Wei, Dong Dong ^a   Wang, Xiao Feng ^a   Li, Yang Hua ^a,b  

^a CENTRAL SOUTH UNIVERSITY   (China)

^b Hengyang Valin Steel Tube Co Ltd   (China)

Author keywords

A. Ferrous metals and alloys; E. Mechanical; F. Plastic behavior

Indexed keywords

2.25CR-1MO STEEL; ARTIFICIAL NEURAL NETWORK MODELS; COMPARATIVE EVALUATIONS; E. MECHANICAL; F. PLASTIC BEHAVIOR; FERROUS METALS AND ALLOYS; HEIGHT REDUCTION; HOT COMPRESSION TESTS; HOT DEFORMATION BEHAVIORS; RELATIVE ERRORS; ROOT MEAN SQUARE ERRORS; THERMO-MECHANICAL;

COMPRESSION TESTING; FORECASTING; MEAN SQUARE ERROR; NEURAL NETWORKS;

CONSTITUTIVE EQUATIONS;

EID: 84862546032     PISSN: 02641275     EISSN: 18734197     Source Type: Journal    
DOI: 10.1016/j.matdes.2012.05.056     Document Type: Article

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