Process chain simulation of laser powder bed fusion including heat treatment and surface hardening

O’Brien, JM, Montgomery, S, Yaghi, A and Afazov, SM ORCID: https://orcid.org/0000-0001-5346-1933, 2021. Process chain simulation of laser powder bed fusion including heat treatment and surface hardening. CIRP Journal of Manufacturing Science and Technology, 32, pp. 266-276. ISSN 1755-5817

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Abstract

Additive manufacturing (AM) has enabled the creation of geometrically complex parts for a range of industries. However, the nature of AM often requires multiple post processing techniques to be carried out to reach the desired material properties or required surface finish. This often involves heat treatment (HT), shot peening (SP) or laser shock peening (LSP). To date, hardly any process chain modelling has been carried out on manufacturing applications with AM. This investigation focuses on the finite element (FE) modelling of the complete manufacturing process chain of an AM impeller made of IN718, including the AM, HT, LSP and SP processes. The particular AM process applied to build the impeller is laser powder bed fusion (L-PBF). Each FE process is validated individually against experimental data before being applied to the impeller process chain. The validated data from each process is mapped to the next process in the chain to investigate the combined effects of manufacturing and post processing techniques. Results have shown that high tensile residual stresses induced by AM can be reduced by approximately 75% by applying HT. SP and LSP processes can further modify remaining tensile residual stresses after HT by inducing a layer of compressive stresses at the surface. In summary, this research work has demonstrated that the simulation of AM process chains using finite element techniques is sufficiently mature to support the product and process development of industrial AM components.

Item Type:	Journal article
Publication Title:	CIRP Journal of Manufacturing Science and Technology
Creators:	O’Brien, J.M., Montgomery, S., Yaghi, A. and Afazov, S.M.
Publisher:	Elsevier
Date:	January 2021
Volume:	32
ISSN:	1755-5817
Identifiers:	Number Type 10.1016/j.cirpj.2021.01.006 DOI S1755581721000055 Publisher Item Identifier 1406587 Other
Divisions:	Schools > School of Science and Technology
Record created by:	Linda Sullivan
Date Added:	08 Feb 2021 11:16
Last Modified:	22 Jan 2022 03:00
URI:	https://irep.ntu.ac.uk/id/eprint/42211

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