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Journal of Materials Engineering and Performance
Erschienen in: Journal of Materials Engineering and Performance 11/2016

22.09.2016

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

verfasst von: Fuzeng Wang, Jun Zhao, Ningbo Zhu

Erschienen in: Journal of Materials Engineering and Performance | Ausgabe 11/2016

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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.
Vorheriger Artikel A Novel Creep-Fatigue Life Prediction Model for P92 Steel on the Basis of Cyclic Strain Energy Density
Nächster Artikel FE Analysis on Shear Deformation for Asymmetrically Hot-Rolled High-Manganese Steel Strip

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Metadaten
Titel
Constitutive Equations and ANN Approach to Predict the Flow Stress of Ti-6Al-4V Alloy Based on ABI Tests
verfasst von
Fuzeng Wang
Jun Zhao
Ningbo Zhu
Publikationsdatum
22.09.2016
Verlag
Springer US
Erschienen in
Journal of Materials Engineering and Performance / Ausgabe 11/2016
Print ISSN: 1059-9495
Elektronische ISSN: 1544-1024
DOI
https://doi.org/10.1007/s11665-016-2337-4

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