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Characterization and porosity analysis of arc-based directed energy deposition of AZ31 magnesium alloys using X-ray computed tomography
ID Ghavi, Mohammad Reza (Author), ID Potta Thara, Yasir Beeran (Author), ID Bračun, Drago (Author), ID Povh, Janez (Author), ID Tiyyagura, Hanuma Reddy (Author), ID Klobčar, Damjan (Author)

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Abstract
This study used directed energy deposition-arc (DED-Arc) with the cold metal transfer (CMT) process to produce a thin magnesium wall. The microstructure of DED-Arc AZ31 reveals equiaxed grains, with the grain sizes increasing from the bottom (20.53 μm) to the middle (42 μm) and top layers (36.18 μm) due to heat conduction variation. The mechanical properties of DED-Arc AZ31 are anisotropic and superior to those of squeeze-cast counterparts. X-ray computed tomography (XCT) shows a non-uniform porosity distribution at the start of the deposition due to the high heat sink and height variation. The DED-Arc process outperforms the high-pressure die-casting (HPDC) process in preventing shrinkage porosity. No shrinkage porosity is observed in the middle of deposition for DED-Arc, occurring only at the edge. K-means clustering identifies a sphericity threshold of 0.4 to distinguish shrinkage and gas porosity. Two classification methods of porosity, the bounding box (BB) and shape morphology, were evaluated. It is recommended to use the BB method in combination with the porosity diameter for porosity classification, ensuring a more comprehensive approach. The BB classification reveals a dominance of cube-like pores, while the formation of rod-like and blade-like pores is minimal. Defect orientation analysis shows that plate-like pores result in a higher stress concentration factor (SCF) of 6 along the build direction compared to 3 in the longitudinal direction. A novel method based on point clouds measures geometric parameters and achieves errors of 18.68% for the surface waviness and 13.7% for the effective wall area.

Language:English
Keywords:directed energy deposition-arc (DED-Arc), AZ31 magnesium alloy, computed tomography (CT) scan, porosity, stress concentration factor (SCF)
Work type:Article
Typology:1.01 - Original Scientific Article
Organization:FS - Faculty of Mechanical Engineering
Publication status:Published
Publication version:Version of Record
Year:2026
Number of pages:Str. 5267-5286
Numbering:Vol. 44
PID:20.500.12556/RUL-186735 This link opens in a new window
UDC:621.79:669.721.5
ISSN on article:2214-0697
DOI:10.1016/j.jmrt.2026.08.184 This link opens in a new window
COBISS.SI-ID:290041091 This link opens in a new window
Publication date in RUL:04.09.2026
Views:189
Downloads:59
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Record is a part of a journal

Title:Journal of materials research and technology
Publisher:Brazilian Metallurgical Materials and Mining Association, Elsevier
ISSN:2214-0697
COBISS.SI-ID:56382211 This link opens in a new window

Licences

License:CC BY-NC-ND 4.0, Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
Link:http://creativecommons.org/licenses/by-nc-nd/4.0/
Description:The most restrictive Creative Commons license. This only allows people to download and share the work for no commercial gain and for no other purposes.

Secondary language

Language:Slovenian
Keywords:obločno usmerjeno nanašanje energije (DED-Arc), magnezijeva zlitina AZ31, rentgenska računalniška tomografija (XCT), poroznost, faktor koncentracije napetosti

Projects

Funder:ARIS - Slovenian Research and Innovation Agency
Project number:P2-0270-2022
Name:Proizvodni sistemi, laserske tehnologije in spajanje materialov

Funder:ARIS - Slovenian Research and Innovation Agency
Project number:N2-0328-2024
Name:Vpliv temperaturnih razmer na mikrostrukturo in mehanske lastnosti aditivno izdelanih materialov

Funder:ARIS - Slovenian Research and Innovation Agency
Project number:BI-BA/24-25-034-2024
Name:Raziskave in analize nosilnosti aditivno izdelanih kovinskih izdelkov

Funder:ARIS - Slovenian Research and Innovation Agency
Project number:DIGITOP- RRI
Name:Digitalna transformacija robotiziranih tovarn prihodnosti
Acronym:DIGITOP

Funder:EC - European Commission
Project number:2024-1-RO01-KA220-HED-000244949
Name:Sinergijsko upravljanje in napredek umetne inteligence v evropskem visokem šolstvu=Synergistic Management and Advancement of Artificial intelligence in European Higher Education
Acronym:SMARTIE

Funder:EC - European Commission
Project number:2023-1-RO01-KA220-HED-000158031
Name:Academic Network for Green and Innovative Europe
Acronym:ANGIE

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