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A Constitutive Equation Relating Composition and Microstructure to Properties in Ti-6Al-4V: As Derived Using a Novel Integrated Computational Approach

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Abstract

While it is useful to predict properties in metallic materials based upon the composition and microstructure, the complexity of real, multi-component, and multi-phase engineering alloys presents difficulties when attempting to determine constituent-based phenomenological equations. This paper applies an approach based upon the integration of three separate modeling approaches, specifically artificial neural networks, genetic algorithms, and Monte Carlo simulations to determine a mechanism-based equation for the yield strength of α+β processed Ti-6Al-4V (all compositions in weight percent) which consists of a complex multi-phase microstructure with varying spatial and morphological distributions of the key microstructural features. Notably, this is an industrially important alloy yet an alloy for which such an equation does not exist in the published literature. The equation ultimately derived in this work not only can accurately describe the properties of the current dataset but also is consistent with the limited and dissociated information available in the literature regarding certain parameters such as intrinsic yield strength of pure hexagonal close-packed alpha titanium. In addition, this equation suggests new interesting opportunities for controlling yield strength by controlling the relative intrinsic strengths of the two phases through solid solution strengthening.

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Acknowledgments

The authors gratefully acknowledge the support of the US Air Force Research Laboratory, ISES Contract No. FA 8650-08-C-5226, the encouragement to pursue this integrated approach by members of the industrial advisory board of the Center for Advanced Non-Ferrous Structural Alloys, which is a joint industry-university center between the Colorado School of Mines and the University of North Texas (NSF Award No. 1134873); and the Center for Advanced Research and Testing at the University of North Texas.

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Author notes

  1. Peyman Samimi (Post Doctoral Fellow) & Peter C. Collins (Associate Professor)

    Present address: Iowa State University, Ames, IA, USA

Authors and Affiliations

  1. Department of Materials Science and Engineering, University of North Texas, Denton, TX, 76203, USA

    Iman Ghamarian (Graduate Student), Peyman Samimi (Post Doctoral Fellow) & Peter C. Collins (Associate Professor)

  2. Department of Materials Science and Engineering, Center for the Accelerated Maturation of Materials, The Ohio State University, Columbus, OH, 43210, USA

    Vikas Dixit (Process Engineer)

  3. Intel Corporation, Hillsboro, OR, USA

    Vikas Dixit (Process Engineer)

Authors
  1. Iman Ghamarian
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  2. Peyman Samimi
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  3. Vikas Dixit
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  4. Peter C. Collins
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Corresponding author

Correspondence to Peter C. Collins.

Additional information

Manuscript submitted on October 1, 2013.

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Ghamarian, I., Samimi, P., Dixit, V. et al. A Constitutive Equation Relating Composition and Microstructure to Properties in Ti-6Al-4V: As Derived Using a Novel Integrated Computational Approach. Metall Mater Trans A 46, 5021–5037 (2015). https://doi.org/10.1007/s11661-015-3072-4

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  • DOI: https://doi.org/10.1007/s11661-015-3072-4

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