PSI - Issue 45

Available online at www.sciencedirect.com Structural Integrity Procedia 00 (2022) 000 – 000 Available online at www.sciencedirect.com ScienceDirect

www.elsevier.com/locate/procedia

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Procedia Structural Integrity 45 (2023) 4–11

17th Asia-Pacific Conference on Fracture and Strength and the 13th Conference on Structural Integrity and Failure (APCFS 2022 & SIF 2022) An experimental and computational study into strain localisation in beta-annealed Ti-6Al-4V Dylan Agius a, * , Darren Cram b , Christopher Hutchinson b , Michael Preuss b,c , Zoran Sterjovski a , Chris Wallbrink a

a Platforms Division, Defence Science and Technology Group, 506 Lorimer Street, VIC 3207, Australia b Department of Materials Science and Engineering, Monash University, Clayton, VIC 3800, Australia c Department of Materials, University of Manchester, M13 9PL, UK

© 2023 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0) Peer-review under responsibility of Prof. Andrei Kotousov Abstract Recent advances in microstructural characterisation techniques are revealing deeper insight into the plastic behaviour of polycrystalline metals. The use of digital image correlation (DIC) to visualise material deformation through slip band localisation is one such emerging technique. Not only does this technique visualise the contribution of microstructure on strain heterogeneity and strain patterns at the meso-scale, it also provides valuable information for the validation and development of computational models. These experimental techniques enable the development of improved crystal plasticity models with a focus on predicting strain localisation associated with slip traces. In this study, DIC was performed on -annealed Ti-6Al-4V to investigate the strain patterns associated with macrozones (clusters of similar orientated grains). This was done to enhance computational capability into the influence of large prior- grains on damage accumulation through the investigation of strain localisation. Simulations using Fast Fourier Transform crystal plasticity (CP-FFT) models were also conducted on the same experimental regions of interest to assess the ability to predict strain localisation. © 2023 The Authors. Published by ELSEVIER B.V. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0) Peer-review under responsibility of Prof. Andrei Kotousov Keywords: crystal plasticity; digital image correlation; fast Fourier transform; strain localisation; titnanium alloys.

* Corresponding author. Tel.: +61 393442284. E-mail address: Dylan.Agius1@defence.gov.au

2452-3216 © 2023 The Authors. Published by ELSEVIER B.V. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0) Peer-review under responsibility of Prof. Andrei Kotousov

2452-3216 © 2023 The Authors. Published by ELSEVIER B.V. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0) Peer-review under responsibility of Prof. Andrei Kotousov 10.1016/j.prostr.2023.05.002