Home > Research > Publications & Outputs > A microstructure sensitive model for deformatio...

Associated organisational unit

Links

Text available via DOI:

View graph of relations

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

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Published

Standard

A microstructure sensitive model for deformation of Ti-6Al-4V describing Cast-and-Wrought and Additive Manufacturing morphologies. / Galindo-Fernández, M.A.; Mumtaz, K.; Rivera-Díaz-del-Castillo, P.E.J. et al.
In: Materials and Design, Vol. 160, 15.12.2018, p. 350-362.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Harvard

APA

Vancouver

Galindo-Fernández MA, Mumtaz K, Rivera-Díaz-del-Castillo PEJ, Galindo-Nava EI, Ghadbeigi H. A microstructure sensitive model for deformation of Ti-6Al-4V describing Cast-and-Wrought and Additive Manufacturing morphologies. Materials and Design. 2018 Dec 15;160:350-362. Epub 2018 Sept 15. doi: 10.1016/j.matdes.2018.09.028

Author

Bibtex

@article{88c009d506f6436b808a6f1d380735a2,
title = "A microstructure sensitive model for deformation of Ti-6Al-4V describing Cast-and-Wrought and Additive Manufacturing morphologies",
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. {\textcopyright} 2018 Elsevier Ltd",
keywords = "Additive manufacturing, Martensite, Microstructure, Modelling, Ti-6Al-4V, 3D printers, Aluminum alloys, Deformation, Mechanical properties, Models, Morphology, Ternary alloys, Vanadium alloys, Volume fraction, Chemical compositions, Deformation behaviour, Deformation conditions, Deformation response, Martensitic structures, Microstructural variation, Phase volume fraction, Ti-6 Al-4 V, Titanium alloys",
author = "M.A. Galindo-Fern{\'a}ndez and K. Mumtaz and P.E.J. Rivera-D{\'i}az-del-Castillo and E.I. Galindo-Nava and H. Ghadbeigi",
year = "2018",
month = dec,
day = "15",
doi = "10.1016/j.matdes.2018.09.028",
language = "English",
volume = "160",
pages = "350--362",
journal = "Materials and Design",
issn = "0264-1275",
publisher = "Elsevier Ltd",

}

RIS

TY - JOUR

T1 - A microstructure sensitive model for deformation of Ti-6Al-4V describing Cast-and-Wrought and Additive Manufacturing morphologies

AU - Galindo-Fernández, M.A.

AU - Mumtaz, K.

AU - Rivera-Díaz-del-Castillo, P.E.J.

AU - Galindo-Nava, E.I.

AU - Ghadbeigi, H.

PY - 2018/12/15

Y1 - 2018/12/15

N2 - 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. © 2018 Elsevier Ltd

AB - 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. © 2018 Elsevier Ltd

KW - Additive manufacturing

KW - Martensite

KW - Microstructure

KW - Modelling

KW - Ti-6Al-4V

KW - 3D printers

KW - Aluminum alloys

KW - Deformation

KW - Mechanical properties

KW - Models

KW - Morphology

KW - Ternary alloys

KW - Vanadium alloys

KW - Volume fraction

KW - Chemical compositions

KW - Deformation behaviour

KW - Deformation conditions

KW - Deformation response

KW - Martensitic structures

KW - Microstructural variation

KW - Phase volume fraction

KW - Ti-6 Al-4 V

KW - Titanium alloys

U2 - 10.1016/j.matdes.2018.09.028

DO - 10.1016/j.matdes.2018.09.028

M3 - Journal article

VL - 160

SP - 350

EP - 362

JO - Materials and Design

JF - Materials and Design

SN - 0264-1275

ER -