ARTIFICIAL NEURAL NETWORK MODEL OF CONSTITUTIVE RELATIONSHIP FOR 2A70 ALUMINUM ALLOY

来源 :Acta Metallurgica Sinica(English Letters) | 被引量 : 0次 | 上传用户:kick666
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The hot deformation behavior of 2A70 aluminum alloy was investigated by means of isothermal compression tests performed on a Gleeble-1500 thermal simulator over a wide range of temper- atures 360-480°C with strain rates of 0.01 -Is-1 and the largest deformation of 60%, and the true stress of the material was obtained under the above-mentioned conditions. The experimental results shows that 2A70 aluminum alloy is a kind of aluminum alloy with the property of dy- namic recovery; its flow stress declines with the increase of temperature, while its flow stress in- creases with the increase of strain rates. On the basis of experiments, the constitutive relation- ship of the 2A70 aluminum alloy was constructed using a BP artificial neural network. Compar- ison of the predicted values with the experimental data shows that the relative error of the trained model is less than ±3% for the sampled data while it is less than ±6% for the non- sampled data. It is evident that the model constructed by BP ANN can accurately predict the flow stress of the 2A70 alloy. The hot deformation behavior of 2A70 aluminum alloy was investigated by means of isothermal compression tests performed on a Gleeble-1500 thermal simulator over a wide range of temper atures 360-480 ° C with strain rates of 0.01-Is-1 and the largest deformation of 60%, and the true stress of the material was obtained under the above-mentioned conditions. The experimental results shows that 2A70 aluminum alloy is a kind of aluminum alloy with the property of dy- namic recovery; its flow stress declines with the increase on the basis of experiments, the constitutive relation-ship of the 2A70 aluminum alloy was constructed using a BP artificial neural network. Compar- ison of the predicted values ​​with the experimental data shows that the relative error of the trained model is less than ± 3% for the sampled data while it is less than ± 6% for the non- sampled data. It is characterized that the model constructe d by BP ANN can accurately predict the flow stress of the 2A70 alloy.
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