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Enhancing the mechanical properties ofdirected [!] energy deposition arc (DED-Arc) via processing innovations
ID Klobčar, Damjan (Author), ID Trdan, Uroš (Author), ID Imširović, Mirza (Author), ID Bračun, Drago (Author), ID Ghavi, Mohammad Reza (Author), ID Vuherer, Tomaž (Author), ID Polanski, Marek (Author), ID Ðurić, Aleksija (Author), ID Bušić, Matija (Author), ID Milčić, Miodrag (Author)

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Abstract
Directed Energy Deposition (DED) processes offer the advantage of producing larger parts with higher deposition rates compared to Powder Bed Fusion (PBF) additive manufacturing (AM). However, DED typically results in simpler geometries and lower resolution. When using Wire and Arc-based DED, even larger components can be manufactured at an accelerated rate, but the higher heat input may lead to undesirable microstructures, adversely affecting mechanical properties. To ensure defect-free depositions, precise process control is essential, including optimizing deposition paths, regulating inter-layer temperature, and maintaining a consistent nozzle-to-layer distance. One effective approach to improving material integrity is the application of in-situ vibrations during deposition. This technique helps reduce porosity and grain size while also enhancing surface waviness and mitigating residual stress buildup. Further refinement of material properties can be achieved through appropriate thermo-mechanical processing, leading to mechanical characteristics comparable to conventionally produced steel. This paper explores the impact of in-situ vibrations and heat treatment through case studies, analysing their effects on surface waviness, residual stress distribution, porosity, microstructure, grain size, mechanical properties, and fracture toughness. The findings demonstrate the significant benefits of these process enhancements in improving the mechanical performance of DED-fabricated components.

Language:English
Keywords:directed energy deposition, DED, wire and arc additive manufacturing, WAAM, in-situ vibrations, heat treatment, porosity reduction, residual stress, grain refinement, surface waviness, mechanical properties, fracture toughness, computed tomography scan, CT
Work type:Article
Typology:1.06 - Published Scientific Conference Contribution (invited lecture)
Organization:FS - Faculty of Mechanical Engineering
Publication status:Published
Publication version:Version of Record
Year:2025
Number of pages:Str. XXXV-XLVIII
PID:20.500.12556/RUL-170991 This link opens in a new window
UDC:621.791.75
DOI:10.46793/IRMES25.plB2K This link opens in a new window
COBISS.SI-ID:243815171 This link opens in a new window
Publication date in RUL:25.07.2025
Views:330
Downloads:46
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Record is a part of a monograph

Title:11th International Scientific Conference IRMES 2025 : IRMES 2025, Vrnjačka Banja
Editors:Dragan Milčić
Place of publishing:Niš
Publisher:Faculty of Mechanical Engineering
ISBN:978-86-6055-194-0
COBISS.SI-ID:243751427 This link opens in a new window

Secondary language

Language:Slovenian
Keywords:usmerjeno nanašanje kovine, oblikovno obločno navarjanje z žico, in-situ vibracije, toplotna obdelava, zmanjšanje poroznosti, zaostale napetosti, udrobnjevanje zrn, valovitost površine, mehanske lastnosti, lomna žilavost

Projects

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

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

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

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: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:ANGIE

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