Prediction of TC16 Alloy Deformation Behavior Based on BP Neural Network
2013 ◽
Vol 850-851
◽
pp. 96-101
Keyword(s):
Based on the theory and algorithm of BP neural network, the deformation behavior of TC16 titanium alloys is studied under different quenching temperature. Mechanical properties of TC16 were measured by tensile experiments and use the BP neural network model to train and simulate the experimental data. Results show that using the BP neural network method can get high calculation accuracy and the prediction errors are around 5%.This method is suitable for further research of TC16 alloy.
2021 ◽
Vol 1744
(4)
◽
pp. 042232
Keyword(s):
Keyword(s):
2010 ◽
Vol 34-35
◽
pp. 301-305
2014 ◽
Vol 1003
◽
pp. 226-229
◽
2017 ◽
Vol 19
(2)
◽
pp. 878-893
◽
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