Prediction of TC16 Alloy Deformation Behavior Based on BP Neural Network

Chuan Dong Song; Jian Kong; Lin Che

doi:10.4028/www.scientific.net/AMR.850-851.96

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 850-851Prediction of TC16 Alloy Deformation Behavior...

Prediction of TC16 Alloy Deformation Behavior Based on BP Neural Network

Abstract:

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.

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Periodical:

Advanced Materials Research (Volumes 850-851)

Pages:

96-101

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.850-851.96

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Online since:

December 2013

Authors:

Chuan Dong Song, Jian Kong, Lin Che

Keywords:

Heat Treatment, Mechanical Property, Quenching, TC16 Alloy

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References

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