Modeling of constitutive relationship of Ti-25V-15Cr-0.2Si alloy during hot deformation process by fuzzy-neural network

Materials and Design

Volumn 31, Issue 9, 2010, Pages 4380-4385

  Han, Yuanfei ^a   Zeng, Weidong ^a   Zhao, Yongqing ^b   Zhang, Xuemin ^b   Sun, Yu ^a   Ma, Xiong ^a  

^a NORTHWESTERN POLYTECHNICAL UNIVERSITY   (China)

^b NORTHWEST INSTITUTE FOR NONFERROUS METAL RESEARCH   (China)

Author keywords

Constitutive relationship; Deformation behavior; Fuzzy neural network; Titanium alloy

Indexed keywords

ADAPTIVE FUZZY; BACKPROPAGATION LEARNING ALGORITHM; CONSTITUTIVE RELATIONSHIPS; DEFORMATION BEHAVIOR; DEFORMATION PROCESS; DEFORMATION TEMPERATURES; FUZZY INFERENCE SYSTEMS; FUZZY MEMBERSHIP FUNCTION; HEIGHT REDUCTION; HIGH TEMPERATURE DEFORMATION; HOT DEFORMATION PROCESS; MAXIMUM RELATIVE ERRORS; PRACTICAL METHOD; SI ALLOYS; TRAINING PROCESS; WEIGHT COEFFICIENTS;

BACKPROPAGATION ALGORITHMS; CHROMIUM; DEFORMATION; FUZZY INFERENCE; LEARNING ALGORITHMS; MEMBERSHIP FUNCTIONS; OPTIMIZATION; SILICON ALLOYS; STRAIN RATE; TITANIUM; TITANIUM ALLOYS;

NEURAL NETWORKS;

EID: 77953616620     PISSN: 02641275     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.matdes.2010.03.047     Document Type: Article

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