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Prediction of the Mechanical Properties of Titanium Alloy Castings Based on a Back-Propagation Neural Network

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Abstract

The mechanical properties of titanium alloy castings are very important for their wide applications in high-end equipment and engineering; however, testing and characterization of the mechanical parameters of titanium alloy castings are complicated and costly. Therefore, the present work proposed a novel method based on a back-propagation (BP) neural network to predict the mechanical properties of a TC4 titanium alloy casting, specifically, the presence of shrinkage cavities at a given location. It was found that the statistical error between predicted values of the BP neural network and experimental results was less than 10%, indicating that the proposed model is suitable for predicting the presence of shrinkage cavities in TC4 titanium alloy castings. Moreover, the BP neural network model was also used to predict the grain size and hardness of the titanium alloy casting. The correlation between predicted and experimental results was r = 0.99485, thus indicating that the proposed model could effectively predict the grain size and hardness of TC4 titanium alloy castings.

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Acknowledgments

The authors are grateful for the financial support provided by the Aeronautical Science Foundation of China (Grant No. 2015-188-48-2). We thank LetPub (www.letpub.com) for its linguistic assistance during the preparation of this manuscript.

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Authors and Affiliations

  1. Beijing Institute of Aeronautical Materials, Aviation Engine Corporation of China, Beijing, 100095, China

    Yanju Wang, Aixue Sha & Xingwu Li

  2. National Center for International Research on Structural Health Management of Critical Components, Jiangsu University, Zhenjiang, 212013, China

    Wenfeng Hao

  3. Institute of Structural Health Management, Faculty of Civil Engineering and Mechanics, Jiangsu University, Zhenjiang, 212013, Jiangsu, China

    Wenfeng Hao

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  1. Yanju Wang
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Correspondence to Wenfeng Hao.

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Wang, Y., Sha, A., Li, X. et al. Prediction of the Mechanical Properties of Titanium Alloy Castings Based on a Back-Propagation Neural Network. J. of Materi Eng and Perform 30, 8040–8047 (2021). https://doi.org/10.1007/s11665-021-06035-1

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