Modeling the Correlation between Microstructure and Tensile Properties of Ti-17 Alloy Using Artificial Neural Network

Zhi Qiang Jia; Wei Dong Zeng

doi:10.4028/www.scientific.net/AMR.983.127

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HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 983Modeling the Correlation between Microstructure...

Modeling the Correlation between Microstructure and Tensile Properties of Ti-17 Alloy Using Artificial Neural Network

Abstract:

In this work, a relational model was established correlating microstructure and tensile properties for the Ti-17 alloy using a back-propagation (BP) neural network technique. In the proposed model, the input data consisted of quantitative microstructural feature parameters, including the volume fraction, thickness and Ferret ratio of α phase. Meanwhile, the tensile properties are the outputs of the model, such as ultimate tensile strength, yield strength, elongation and reduction in area. The coefficient of determination is more than 0.900, which indicates that the developed model possesses the excellent ability to predict the internal relationship of the microstructure and tensile properties of Ti-17 alloy.

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Periodical:

Advanced Materials Research (Volume 983)

Pages:

127-130

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.983.127

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Online since:

June 2014

Authors:

Zhi Qiang Jia, Wei Dong Zeng*

Keywords:

BP Neural Network (BPNN), Microstructure, Tensile Properties, Ti-17 Alloy

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* - Corresponding Author

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