Modeling constitutive relationship of Ti40 alloy using artificial neural network

Materials and Design

Volumn 32, Issue 3, 2011, Pages 1537-1541

  Sun, Y ^a   Zeng, W D ^a   Zhao, Y Q ^b   Zhang, X M ^a   Shu, Y ^b   Zhou, Y G ^a  

^a NORTHWESTERN POLYTECHNICAL UNIVERSITY   (China)

^b NORTHWEST INSTITUTE FOR NONFERROUS METAL RESEARCH   (China)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL NEURAL NETWORK; ARTIFICIAL NEURAL NETWORK MODELS; BACK PROPAGATION NEURAL NETWORKS; CONSTITUTIVE RELATIONSHIP MODEL; CONSTITUTIVE RELATIONSHIPS; EXPERIMENTAL DATA; EXPERIMENTAL VALUES; FINITE ELEMENT SIMULATIONS; FLOW STRESS; GLEEBLE-1500 THERMAL SIMULATOR; NON-LINEAR RELATIONSHIPS; RELATIVE ERRORS;

ALLOYS; BACKPROPAGATION; COMPUTER SIMULATION; DEFORMATION; FINITE ELEMENT METHOD; MATHEMATICAL MODELS; PLASTIC FLOW; STRAIN RATE;

NEURAL NETWORKS;

EID: 78649842964     PISSN: 02641275     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.matdes.2010.10.004     Document Type: Article

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