The prediction of hot flow behavior of Al–6%Mg alloy
作者： A. Gholamzadeh , A. Karimi Taheri
DOI: 10.1016/J.MECHRESCOM.2008.06.011
关键词: Artificial neural network 、 Structural engineering 、 Alloy 、 Plasticity 、 Strain rate 、 Constitutive equation 、 Flow (psychology) 、 Compression (physics) 、 Composite material 、 Flow stress 、 Materials science
摘要: Abstract In this research, the plastic flow behavior of Al–6%Mg alloy was studied by analyzing results hot compression tests in a range temperature and strain rate. Then, an artificial neural network (ANN) model trained at which temperature, strain-rate, parameters were used as input layer stress output. The comparison predicted experimental stress–strain curve proved prediction capability ANN model.
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