An adaptive prediction model of grain size for the forging of Ti-6Al-4V alloy based on fuzzy neural networks

Journal of Materials Processing Technology

Volumn 123, Issue 3, 2002, Pages 377-381

  Miaoquan, Li ^a   Dunjun, Chen ^a   Aiming, Xiong ^a   Li, Long ^b  

^a NORTHWESTERN POLYTECHNICAL UNIVERSITY   (China)

^b China   (China)

Author keywords

FNN model; Forming; Grain size; Titanium alloy

Indexed keywords

FUZZY NEURAL NETWORKS (FNN);

DEFORMATION; FORGING; MICROSTRUCTURE; NEURAL NETWORKS; TITANIUM ALLOYS;

GRAIN SIZE AND SHAPE;

EID: 0037052517     PISSN: 09240136     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0924-0136(02)00040-7     Document Type: Article

References (5)

1. Approach to constitutive relationships of a Ti-5Al-2Zr-4Cr-4Mo alloy by artificial neural networks
2. Modeling of microstructure during hot working process by ANN*