Prediction of elevated temperature fatigue crack growth rates in TI-6AL-4V alloy - neural network approach

Materials and Design

Volumn 25, Issue 7, 2004, Pages 547-554

  Fotovati, A ^a   Goswami, T ^b  

^a SHIRAZ UNIVERSITY   (Iran)

^b OHIO NORTHERN UNIVERSITY   (United States)

Author keywords

Elevated temperature; Fatigue crack growth rates; Neural network; Stress ratio

Indexed keywords

ALUMINUM ALLOYS; ATMOSPHERIC HUMIDITY; CRACK PROPAGATION; NEURAL NETWORKS; TEMPERATURE CONTROL; TITANIUM ALLOYS;

ELEVATED TEMPERATURE; FATIGUE CRACK GROWTH; STRESS RATIO;

CRACKS;

FATIGUE;

EID: 2942584968     PISSN: 02613069     EISSN: 18734197     Source Type: Journal    
DOI: 10.1016/j.matdes.2004.03.003     Document Type: Article

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