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Volumn 528, Issue 29-30, 2011, Pages 8757-8764

Modeling the correlation between microstructure and the properties of the Ti-6Al-4V alloy based on an artificial neural network

Author keywords

Artificial neural network; Microstructural feature parameter; Property; Quantification; Ti 6Al 4V alloy

Indexed keywords

ALUMINUM ALLOYS; HEAT TREATMENT; MICROSTRUCTURAL EVOLUTION; TENSILE STRENGTH; TENSILE TESTING; TERNARY ALLOYS; TITANIUM ALLOYS; VANADIUM ALLOYS;

EID: 80053643149     PISSN: 09215093     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.msea.2011.08.059     Document Type: Article
Times cited : (55)

References (25)


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.