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Volumn 528, Issue 29-30, 2011, Pages 8757-8764
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Modeling the correlation between microstructure and the properties of the Ti-6Al-4V alloy based on an artificial neural network
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Author keywords
Artificial neural network; Microstructural feature parameter; Property; Quantification; Ti 6Al 4V alloy
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Indexed keywords
ALUMINUM ALLOYS;
HEAT TREATMENT;
MICROSTRUCTURAL EVOLUTION;
TENSILE STRENGTH;
TENSILE TESTING;
TERNARY ALLOYS;
TITANIUM ALLOYS;
VANADIUM ALLOYS;
ARTIFICIAL NEURAL NETWORK MODELING;
FEATURE PARAMETERS;
MECHANICAL PROPERTIES OF MATERIALS;
MICROSTRUCTURAL FEATURE PARAMETER;
MICROSTRUCTURAL FEATURES;
MICROSTRUCTURES AND MECHANICAL PROPERTIES;
NON LINEAR;
PROPERTY;
QUANTIFICATION;
TI-6AL-4V ALLOY;
NEURAL NETWORKS;
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EID: 80053643149
PISSN: 09215093
EISSN: None
Source Type: Journal
DOI: 10.1016/j.msea.2011.08.059 Document Type: Article |
Times cited : (55)
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References (25)
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