TY - JOUR
T1 - Additive manufacturing and non-destructive testing of topology-optimised aluminium components
AU - Senck, Sascha
AU - Happl, Michael
AU - Reiter, Michael
AU - Scheerer, Michael
AU - Kendel, Manuel
AU - Glinz, Jonathan
AU - Kastner, Johann
N1 - Funding Information:
This work is supported by the project SpaceNDT in the course of ASAP14 (FFG) [grant ID: 866013]–financed by the BMVIT and the K-Project [grant ID: 871974] for “Photonic Sensing for Smarter Processes” and the COMET program of FFG and the federal government of Upper Austria and Styria.
Publisher Copyright:
© 2020 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.
PY - 2020/7/2
Y1 - 2020/7/2
N2 - Additive manufacturing (AM) unlocks novel industrial possibilities in relation to design optimisation for lightweight structures, e.g. in aerospace applications. However, the inherent geometric complexity of topology-optimised AM components represents a major challenge for conventional non-destructive testing (NDT) methods. Due to its flexibility and high throughput, industrial X-ray micro-computed tomography (XCT) is the most promising NDT method for AM. In this contribution, we investigate topology-optimised engine brackets that were manufactured from AlSi10 Mg using selective laser melting (SLM). We investigate the respective parts and in-process test coupons in a multiscale approach to be able to extract pore size distributions at different spatial resolutions between 105 and 1.25 µm isometric voxel size. At the lowest spatial resolutions, existing pores cannot be segmented. In contrast, decreasing voxel sizes leads to an increase in total porosity up to 1.53%. Defects like pores in load-carrying areas can profoundly influence the component´s mechanical performance; hence, extensive NDT investigations are mandatory to predict the effect of defects in aluminium AM components.
AB - Additive manufacturing (AM) unlocks novel industrial possibilities in relation to design optimisation for lightweight structures, e.g. in aerospace applications. However, the inherent geometric complexity of topology-optimised AM components represents a major challenge for conventional non-destructive testing (NDT) methods. Due to its flexibility and high throughput, industrial X-ray micro-computed tomography (XCT) is the most promising NDT method for AM. In this contribution, we investigate topology-optimised engine brackets that were manufactured from AlSi10 Mg using selective laser melting (SLM). We investigate the respective parts and in-process test coupons in a multiscale approach to be able to extract pore size distributions at different spatial resolutions between 105 and 1.25 µm isometric voxel size. At the lowest spatial resolutions, existing pores cannot be segmented. In contrast, decreasing voxel sizes leads to an increase in total porosity up to 1.53%. Defects like pores in load-carrying areas can profoundly influence the component´s mechanical performance; hence, extensive NDT investigations are mandatory to predict the effect of defects in aluminium AM components.
KW - Additive manufacturing
KW - aluminium
KW - microcomputed tomography
KW - non-destructive testing
KW - selective laser melting
KW - topology optimisation
UR - http://www.scopus.com/inward/record.url?scp=85086930131&partnerID=8YFLogxK
U2 - 10.1080/10589759.2020.1774582
DO - 10.1080/10589759.2020.1774582
M3 - Article
AN - SCOPUS:85086930131
SN - 1058-9759
VL - 35
SP - 315
EP - 327
JO - Nondestructive Testing and Evaluation
JF - Nondestructive Testing and Evaluation
IS - 3
ER -