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A microstructure sensitive model for deformation of Ti-6Al-4V describing Cast-and-Wrought and Additive Manufacturing morphologies

Published version
Peer-reviewed

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Type

Article

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Authors

Galindo-Fernández, MA 
Mumtaz, K 
Rivera-Díaz-del-Castillo, PEJ 
Galindo-Nava, EI 
Ghadbeigi, H 

Abstract

Microstructural variations affect deformation response of materials and it is not presented in most of plastic flow prediction models. This work presents a unified description for the deformation response of Ti-6Al-4V (Ti-64) that successfully captures the differences in strength between microstructures produced by conventional cast & wrought routes (C&W) and those obtained by Additive Manufacturing (AM), under various deformation conditions. In the developed model the grain morphology, grain size, phase volume fractions and phase chemical compositions have been linked to the mechanical properties of the studied Ti-64 alloys to predict the effect of processing routes on deformation behaviour of the materials. The model performance has been tested on seven different microstructures from C&W to AM processing routs. It has been found that altering the microstructure greatly affects the yield strength of the tested materials. Additionally, the strength of Ti-64 was found to be mostly affected by the relative volume fraction of α β and α′ and their respective morphology. The results showed that the model not only successfully predicts the strength of martensitic structures generated through AM but also those obtained by quenching in conventional C&W processing. The findings from this study also suggest that the model could be extended to other titanium alloys within the α + β family.

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Keywords

Modelling, Ti-6Al-4V, Additive manufacturing, Microstructure, Martensite

Journal Title

Materials and Design

Conference Name

Journal ISSN

0264-1275
1873-4197

Volume Title

160

Publisher

Elsevier
Sponsorship
Engineering and Physical Sciences Research Council (EP/L025213/1)
M.A.G.F. would like to acknowledge the National Council of Science and Technology of Mexico (CONACYT) for the provision of financial support for his PhD studentship. E.I.G.N. would like to acknowledge the Royal Academy of Engineering for his research fellowship funding. P.E.J.R.D.C. is grateful to the Royal Academy of Engineering for financial support.