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Constitutive Equations and ANN Approach to Predict the Flow Stress of Ti-6Al-4V Alloy Based on ABI Tests

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Abstract

The flow behavior of Ti-6Al-4V alloy was studied by automated ball indentation (ABI) tests in a wide range of temperatures (293, 493, 693, and 873 K) and strain rates (10−6, 10−5, and 10−4 s−1). Based on the experimental true stress-plastic strain data derived from the ABI tests, the Johnson-Cook (JC), Khan-Huang-Liang (KHL) and modified Zerilli-Armstrong (ZA) constitutive models, as well as artificial neural network (ANN) methods, were employed to predict the flow behavior of Ti-6Al-4V. A comparative study was made on the reliability of the four models, and their predictability was evaluated in terms of correlation coefficient (R) and mean absolute percentage error. It is found that the flow stresses of Ti-6Al-4V alloy are more sensitive to temperature than strain rate under current experimental conditions. The predicted flow stresses obtained from JC model and KHL model show much better agreement with the experimental results than modified ZA model. Moreover, the ANN model is much more efficient and shows a higher accuracy in predicting the flow behavior of Ti-6Al-4V alloy than the constitutive equations.

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Acknowledgments

This work is sponsored by the National Natural Science Foundation of China (51175310).

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Authors and Affiliations

  1. Institute of Manufacturing Engineering, Huaqiao University, Xiamen, China

    Fuzeng Wang

  2. School of Mechanical Engineering, Shandong University, Jinan, China

    Fuzeng Wang, Jun Zhao & Ningbo Zhu

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  1. Fuzeng Wang
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  2. Jun Zhao
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Correspondence to Fuzeng Wang.

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Wang, F., Zhao, J. & Zhu, N. Constitutive Equations and ANN Approach to Predict the Flow Stress of Ti-6Al-4V Alloy Based on ABI Tests. J. of Materi Eng and Perform 25, 4875–4884 (2016). https://doi.org/10.1007/s11665-016-2337-4

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  • DOI: https://doi.org/10.1007/s11665-016-2337-4

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