Výsledky vyhledávání - "Julien Ertveldt"

Akademický článek

Hyperspectral In-Situ Monitoring for Deep Learning-Based Anomaly Classification in Metal Additive Manufacturing

Autor: Charles Snyers, Julien Ertveldt, Kyriakos Efthymiadis, Jan Helsen

Publikováno v: IEEE Access, Vol 12, Pp 178848-178861 (2024)

Metal Additive Manufacturing processes such as Directed Energy Deposition (DED) require process monitoring to ensure the highest part quality. Detecting and avoiding material defects to meet high material requirements remains a challenge due to the c

Externí odkaz: https://doaj.org/article/791729e3c17a4f848481a91dce88e81c

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Measuring and Predicting the Effects of Residual Stresses from Full-Field Data in Laser-Directed Energy Deposition

Autor: Efstratios Polyzos, Hendrik Pulju, Peter Mäckel, Michael Hinderdael, Julien Ertveldt, Danny Van Hemelrijck, Lincy Pyl

Publikováno v: Materials
Volume 16
Issue 4
Pages: 1444

This article presents a novel approach for assessing the effects of residual stresses in laser-directed energy deposition (L-DED). The approach focuses on exploiting the potential of rapidly growing tools such as machine learning and polynomial chaos

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4992b672589933e0413c176ef913634c
https://hdl.handle.net/20.500.14017/47a49736-9f91-40fd-afa2-dc192977aa72

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FPGA-based visual melt-pool monitoring with pyrometer correlation for geometry and temperature measurement during Laser Metal Deposition

Autor: Patrick Guillaume, Jorge Sanchez Medina, Julien Ertveldt, Galid Arroud

Publikováno v: Progress in Additive Manufacturing 2021 ISBN: 9780803177352

Laser metal deposition is an additive manufacturing technology where the process parameters greatly influence the product quality and geometry. Therefore, it is generally concluded that real-time control and monitoring of the process is required to d

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c27f5f83017479526a4d3e9ff8923caa
https://hdl.handle.net/20.500.14017/38a1829d-1a7e-4e55-bdcf-c7608522fcbd

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Production Assessment of Hybrid Directed Energy Deposition Manufactured Sample with Integrated Effective Structural Health Monitoring channel (eSHM)

Autor: Zoé Jardon, Michaël Hinderdael, Julien Ertveldt, Patrick Guillaume

Publikováno v: Procedia Structural Integrity. 34:32-38

Additively manufactured components are questioned for their fatigue performance and therefore not adopted for safety critical applications so far. The components might contain material imperfections and residual stresses due to the high temperature g

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::82f4ff0bb7c129be1e3eceacfae70f60
https://doi.org/10.1016/j.prostr.2021.12.005

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Prediction of Melt Pool Temperature for Directed Energy Deposition Using Supervised Learning Methods on Optical Measurement Data

Autor: Jan Helsen, Charles Snyers, Julien Ertveldt, Jorge Sanchez Medina, Zoé Jardon

Publikováno v: Progress in Additive Manufacturing 2021 ISBN: 9780803177352

One of today's ongoing challenges in directed energy deposition (DED) is controlling the geometry and material properties of parts. The objective of this paper is to investigate the relationship between several printing parameters of DED (laser power

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::79c8e22a5bad99315b7147e18ec4add9
https://biblio.vub.ac.be/vubir/prediction-of-melt-pool-temperature-for-directed-energy-deposition-using-supervised-learning-methods-on-optical-measurement-data(33451a71-fbfe-4d21-bcdf-c56baad56b84).html

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A proof-of-concept analysis relating dimensions of a melt pool to its vibrational behavior to control a laser-based additive manufacturing process

Autor: Julien Ertveldt, Patrick Guillaume, Galid Arroud

Publikováno v: Procedia CIRP. 94:404-408

The formation of a melt pool, during an additive manufacturing process, is a complex multi-physical process. Apparent factors, contributing to its complexity, are among others: the high temperatures, the existence of the material in multiple physical

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::247b729305506c8748cbffc47e4cc562
https://doi.org/10.1016/j.procir.2020.09.154

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MiCLAD as a platform for real-time monitoring and machine learning in laser metal deposition

Autor: Julien Ertveldt, Patrick Guillaume, Jan Helsen

Publikováno v: Procedia CIRP. 94:456-461

The MiCLAD machine designed at the VUB, Belgium, allows for closed-loop controlled laser metal deposition including various in-situ optical based measurement systems. These integrated sensors collect information on deposition geometry and temperature

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dfa315fa72a8190506f0b5e3a6b8eb44
https://doi.org/10.1016/j.procir.2020.09.164

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Powder-Gas Jet Velocity Characterization during Coaxial Directed Energy Deposition Process

Autor: Zoé Jardon, Patrick Guillaume, Julien Ertveldt, Michaël Hinderdael

Publikováno v: Progress in Additive Manufacturing 2021 ISBN: 9780803177352

This paper presents a numerical and experimental characterization of the powder-gas jet during the coaxial directed energy deposition process in terms of flow velocity, particle velocity, jet symmetry, and powder stream shape. The latter parameters a

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::08539bb3aa498eea22d8e6f99e13a3c1
https://biblio.vub.ac.be/vubir/powdergas-jet-velocity-characterization-during-coaxial-directed-energy-deposition-process(6b2c05d7-3d31-41fb-b908-eddf1875f77c).html

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