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Yield Strength Prediction of Titanium Alloys

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Abstract

A confidence interval on the yield strength prediction for wrought titanium alloy Ti-6Al-4V is presented, statistically estimated from a recently developed phenomenological model relating the material parameters to material properties. In this study, the material composition and microstructure parameters were statistically characterized using multimodal, three-parameter Weibull, Normal and Uniform distributions to capture their naturally occurring variability. These estimations were used to predict mean square error and confidence intervals on the material strength of the alloy, comparing model results with experimentally obtained data. Model estimation is in good agreement with the experimental data, deviating by no more than 6%. The work presented here provides a probabilistic relationship between titanium alloy processing, resulting microstructure, and its performance.

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Acknowledgements

This work is partially sponsored by the Defense Advanced Research Projects Agency (DARPA) under contract HR0011-12-C-0035, with The Boeing Company serving as the primary contractor for the program. Mr. Michael C. Maher is the DARPA Program Manager. The views, opinions, and/or findings contained in this article are those of the author(s) and should not be interpreted as representing the official views or policies of the Department of Defense or the U.S. Government. Approved for public release; distribution unlimited.

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Authors and Affiliations

  1. Department of Mechanical Engineering and Mechanics, Lehigh University, 19 Memorial Drive West, Bethlehem, PA, 18015-3085, USA

    C. V. Haden & D. G. Harlow

  2. Department of Materials Science and Engineering, University of North Texas, 3940 N. Elm St, Denton, TX, 76207, USA

    P. C. Collins

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  1. C. V. Haden
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  2. P. C. Collins
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  3. D. G. Harlow
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Correspondence to C. V. Haden.

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Haden, C.V., Collins, P.C. & Harlow, D.G. Yield Strength Prediction of Titanium Alloys. JOM 67, 1357–1361 (2015). https://doi.org/10.1007/s11837-015-1436-2

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  • DOI: https://doi.org/10.1007/s11837-015-1436-2

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