Matthias Faes
Matthias Faes
KU Leuven - Department of Mechanical Engineering; Research Foundation Flanders (FWO)
Verified email at - Homepage
Cited by
Cited by
Influence of inter-layer cooling time on the quasi-static properties of ABS components produced via fused deposition modelling
M Faes, E Ferraris, D Moens
Procedia CIRP 42, 748-753, 2016
Extrusion-based additive manufacturing of ZrO2 using photoinitiated polymerization
M Faes, J Vleugels, F Vogeler, E Ferraris
CIRP Journal of Manufacturing Science and Technology 14, 28-34, 2016
Extrusion-based 3D printing of ceramic components
M Faes, H Valkenaers, F Vogeler, J Vleugels, E Ferraris
Procedia Cirp 28, 76-81, 2015
Process monitoring of extrusion based 3D printing via laser scanning
M Faes, W Abbeloos, F Vogeler, H Valkenaers, K Coppens, T Goedemé, ...
arXiv preprint arXiv:1612.02219, 2016
Identification and quantification of multivariate interval uncertainty in finite element models
M Faes, J Cerneels, D Vandepitte, D Moens
Computer Methods in applied mechanics and engineering 315, 896-920, 2017
Identification and quantification of spatial interval uncertainty in numerical models
M Faes, D Moens
Computers & Structures 192, 16-33, 2017
A multivariate interval approach for inverse uncertainty quantification with limited experimental data
M Faes, M Broggi, E Patelli, Y Govers, J Mottershead, M Beer, D Moens
Mechanical Systems and Signal Processing 118, 534-548, 2019
On the influence of inter-layer time and energy density on selected critical-to-quality properties of PA12 parts produced via laser sintering
M Pavan, M Faes, D Strobbe, B Van Hooreweder, T Craeghs, D Moens, ...
Polymer testing 61, 386-395, 2017
Recent trends in the modeling and quantification of non-probabilistic uncertainty
M Faes, D Moens
Archives of Computational Methods in Engineering, 1-39, 2019
Multivariate dependent interval finite element analysis via convex hull pair constructions and the Extended Transformation Method
M Faes, D Moens
Computer Methods in Applied Mechanics and Engineering 347, 85-102, 2019
Identification of interval fields for spatial uncertainty representation in finite element models
M Faes, J Cerneels, D Vandepitte, D Moens
Proceedings of the ECCOMAS Congress 30 (2016), 27-30, 2016
Variability, heterogeneity, and anisotropy in the quasi-static response of laser sintered PA12 components
M Faes, Y Wang, P Lava, D Moens
Strain, 2016
Variability in the mechanical properties of laser sintered PA-12 components
M Faes, Y Wang, P Lava, D Moens
Proceedings of the 26th annual international solid freeform fabrication …, 2015
Comparison of Bayesian and interval uncertainty quantification: Application to the AIRMOD test structure
M Broggi, M Faes, E Patelli, Y Govers, D Moens, M Beer
2017 IEEE Symposium Series on Computational Intelligence (SSCI), 1-8, 2017
Failure probability under uncertain surrogate model predictions
M Faes, M Broggi, M Beer, D Moens
Proceedings of the joint ICVRAM ISUMA UNCERTAINTIES conference 3, 2018
Influence of measurement data metrics on the identification of interval fields for the representation of spatial variability in finite element models
M Faes, J Cerneels, D Vandepitte, D Moens
PAMM 16 (1), 27-30, 2016
Interval methods for the identification and quantification of inhomogeneous uncertainty in Finite Element models
M Faes
Ph. D. thesis, KU Leuven, Department of Mechanical Engineering, 2017
On the comparison of two novel interval field formulations for the representation of spatial uncertainty
M Imholz, M Faes, J Cerneels, D Vandepitte, D Moens
Proceedings of the 7th International Workshop on Reliable Engineering …, 2016
Hybrid spatial uncertainty analysis for the estimation of imprecise failure probabilities in Laser Sintered PA-12 parts
M Faes, SG Dastidar, D Moens
Computers and Mathematics with Applications, 2018
Quantification of non-homogeneous interval uncertainty based on scatter in modal properties
M Faes, D Moens
Procedia Engineering 199, 1216-1221, 2017
The system can't perform the operation now. Try again later.
Articles 1–20