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Dries Verhees
Institution:
Flanders Make (Belgium)
Observed institutions:
Flanders Make (Belgium),
KU Leuven
ORCID:
0000-0002-5584-4601
Observed ORCID:
0000-0002-5584-4601
OpenAlex ID:
A5015384909
Towards material and process agnostic features for the classification of pore types in metal additive manufacturing
2023
·
Mathieu Vandecasteele
, Rob Heylen
, et al.
·
Materials & Design
·
26
PDF
Encoding Stability into Laser Powder Bed Fusion Monitoring Using Temporal Features and Pore Density Modelling
2022
·
Brian G. Booth
, Rob Heylen
, et al.
·
Sensors
·
18
PDF
Off-axis high-speed camera-based real-time monitoring and simulation study for laser powder bed fusion of 316L stainless steel
2023
·
Aditi Thanki
, Carlos Jordan
, et al.
·
The International Journal of Advanced Manufacturing Technology
·
13
PDF
3D total variation denoising in X-CT imaging applied to pore extraction in additively manufactured parts
2021
·
Rob Heylen
, Aditi Thanki
, et al.
·
Measurement Science and Technology
·
12
PDF
Combining high-throughput imaging in visible and SWIR wavelengths for in-situ porosity prediction in laser powder bed fusion
2024
·
Ayyoub Ahar
, Mathieu Vandecasteele
, et al.
·
Laser 3D Manufacturing
·
7
High-speed Interpretable Representation Learning of Melt Pool Signatures in Metal Additive Manufacturing
2024
·
Mathieu Vandecasteele
, Dries Verhees
, et al.
·
IEEE International Conference on Automation Science and Engineering (CASE)
·
6
PDF
Voxel-wise segmentation for porosity investigation of additive manufactured parts with 3D unsupervised and (deeply) supervised neural networks
2024
·
Domenico Iuso
, Soumick Chatterjee
, et al.
·
Applied Intelligence
·
5
PDF
Recommender systems for Personalized Work Instructions
2022
·
Jeroen Zegers
, Vasilios Zogopoulos
, et al.
·
Procedia CIRP
·
4
PDF
High-Speed Deformation Prediction in Selective Laser Melting Using Context-Adaptive Neural Networks
2024
·
Mathieu Vandecasteele
, Domenico Iuso
, et al.
·
International Conference on Machine Learning and Applications
·
3
PDF
Towards Easing Automation of Robotic Kitting Operations
2022
·
Ali Roshanbin
, Asad Tirmizi
, et al.
·
International Conference on Control and Automation
·
3
Fast algorithms for computing the distance to instability of nonlinear eigenvalue problems, with application to time-delay systems
2014
·
Dries Verhees
, Roel Van Beeumen
, et al.
·
International Journal of Dynamics and Control
·
3
PDF
Accelerated Monitoring of Powder Bed Fusion Additive Manufacturing via High-Throughput Imaging and Low-Latency Machine Learning
2023
·
Ayyoub Ahar
, Rob Heylen
, et al.
·
IFIP advances in information and communication technology
·
2
Hybrid Data Fusion for Low-Cost High-Speed Monitoring in Powder Bed Fusion 3D Printing
2025
·
Brian G. Booth
, Sam Leroux
, et al.
·
International Conference on Computer and Automation Engineering
·
1
PDF
Sound Of Porosity: Unlocking Local Acoustic Signatures Of Porosity In LPBF Via Low-Cost Sensing And Explainable AI
2026
·
Flanders Make
, Ayyoub Ahar
, et al.
·
European Powder Metallurgy Congress and Exhibition (Euro PM)
Coupled Variational Autoencoders for Bi-modal In-situ Monitoring of Keyhole Pore Formation in Laser Powder Bed Fusion
2026
·
Saeid Hedayatrasa
, Ayyoub Ahar
, et al.
·
International Conference on Information Fusion (FUSION)
Exploiting melt pool inclination for acoustic based detection of lack of fusion in laser powder bed fusion
2026
·
Rik Vaerenberg
, Shivam Shukla
, et al.
·
Procedia CIRP
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Works count:
16
Citation count:
103
H-index:
6
I10-index:
4
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