Campus Units

Materials Science and Engineering

Document Type

Article

Publication Version

Accepted Manuscript

Publication Date

2015

Journal or Book Title

Metallurgical and Materials Transactions A

Volume

46

Issue

11

First Page

5021

Last Page

5037

DOI

10.1007/s11661-015-3072-4

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+βprocessed 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.

Comments

This is a manuscript of an article published as Ghamarian, Iman, Peyman Samimi, Vikas Dixit, and Peter C. Collins. "A Constitutive Equation Relating Composition and Microstructure to Properties in Ti-6Al-4V: As Derived Using a Novel Integrated Computational Approach." Metallurgical and Materials Transactions A 46, no. 11 (2015): 5021-5037. doi: 10.1007/s11661-015-3072-4. Posted with permission.

Copyright Owner

Springer Verlag

Language

en

File Format

application/pdf

Published Version

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