The University of Southampton
University of Southampton Institutional Repository

Fatigue crack growth in IN718/316L multi-materials layered structures fabricated by laser powder bed fusion

Fatigue crack growth in IN718/316L multi-materials layered structures fabricated by laser powder bed fusion
Fatigue crack growth in IN718/316L multi-materials layered structures fabricated by laser powder bed fusion
Multi-materials additive manufacturing (MMAM) allows the functional optimisation of components by tailoring the addition of alloys at different design locations in a single operation. In this study Laser Powder Bed Fusion (L- PBF) technique was used to manufacture layered specimens combining IN718 and 316L materials. The micro-structure and mechanical properties were studied by scanning electron microscopy (SEM), tensile, micro and nanohardness testing. The fatigue tests were performed to determine the crack propagation process through multi-layer specimens in the as-built (AB) state.
Additive manufacturing (AM), Crack growth rate, Fatigue analysis, Interface, Multi-materials
0142-1123
Duval-Chaneac, Marie-Salome, Dani
3d3f174e-675c-4204-a1c4-a5edc379390d
Gao, Nong
9c1370f7-f4a9-4109-8a3a-4089b3baec21
Khan, Raja
fb935db2-af1e-4253-854c-aa2086167c4a
Giles, M
f1c40e2b-a285-49b3-9960-66f81e135134
Georgilas, K
b3beb7da-6b40-45cd-af8a-177bcb299350
Zhao, Xiao
70e12f26-5ece-46cd-a186-3cac70e99a6f
Reed, Philippa
8b79d87f-3288-4167-bcfc-c1de4b93ce17
Duval-Chaneac, Marie-Salome, Dani
3d3f174e-675c-4204-a1c4-a5edc379390d
Gao, Nong
9c1370f7-f4a9-4109-8a3a-4089b3baec21
Khan, Raja
fb935db2-af1e-4253-854c-aa2086167c4a
Giles, M
f1c40e2b-a285-49b3-9960-66f81e135134
Georgilas, K
b3beb7da-6b40-45cd-af8a-177bcb299350
Zhao, Xiao
70e12f26-5ece-46cd-a186-3cac70e99a6f
Reed, Philippa
8b79d87f-3288-4167-bcfc-c1de4b93ce17

Duval-Chaneac, Marie-Salome, Dani, Gao, Nong, Khan, Raja, Giles, M, Georgilas, K, Zhao, Xiao and Reed, Philippa (2021) Fatigue crack growth in IN718/316L multi-materials layered structures fabricated by laser powder bed fusion. International Journal of Fatigue, 152, [106454]. (doi:10.1016/j.ijfatigue.2021.106454).

Record type: Article

Abstract

Multi-materials additive manufacturing (MMAM) allows the functional optimisation of components by tailoring the addition of alloys at different design locations in a single operation. In this study Laser Powder Bed Fusion (L- PBF) technique was used to manufacture layered specimens combining IN718 and 316L materials. The micro-structure and mechanical properties were studied by scanning electron microscopy (SEM), tensile, micro and nanohardness testing. The fatigue tests were performed to determine the crack propagation process through multi-layer specimens in the as-built (AB) state.

Text
Fatigue_crack_growth in_MMAM_2nd-Final-21y0316 - Accepted Manuscript
Restricted to Repository staff only until 30 July 2022.
Request a copy

More information

Accepted/In Press date: 26 July 2021
e-pub ahead of print date: 30 July 2021
Published date: 1 November 2021
Keywords: Additive manufacturing (AM), Crack growth rate, Fatigue analysis, Interface, Multi-materials

Identifiers

Local EPrints ID: 452462
URI: http://eprints.soton.ac.uk/id/eprint/452462
ISSN: 0142-1123
PURE UUID: 1cbf4d9f-34dc-4fd1-ac73-e17251695f40
ORCID for Nong Gao: ORCID iD orcid.org/0000-0002-7430-0319
ORCID for Xiao Zhao: ORCID iD orcid.org/0000-0002-9714-3176
ORCID for Philippa Reed: ORCID iD orcid.org/0000-0002-2258-0347

Catalogue record

Date deposited: 11 Dec 2021 10:45
Last modified: 11 May 2022 01:37

Export record

Altmetrics

Contributors

Author: Marie-Salome, Dani Duval-Chaneac
Author: Nong Gao ORCID iD
Author: Raja Khan
Author: M Giles
Author: K Georgilas
Author: Xiao Zhao ORCID iD
Author: Philippa Reed ORCID iD

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×