All Stories

  1. Inverse Interval Field Quantification via Digital Image Correlation

    Article • Applied Mechanics and Materials, November 2018, Trans Tech Publications

    Matthias Faes

  2. Identification and quantification of spatial interval uncertainty in numerical models

    Article • Computers & Structures, November 2017, Elsevier

    Matthias Faes

  3. On the influence of inter-layer time and energy density on selected critical-to-quality properties of PA12 parts produced via laser sintering

    Article • Polymer Testing, August 2017, Elsevier

    Matthias Faes

  4. Identification and quantification of multivariate interval uncertainty in finite element models

    Article • Computer Methods in Applied Mechanics and Engineering, March 2017, Elsevier

    Matthias Faes

  5. Identification and quantification of spatial variability in the elastostatic properties of additively manufactured components

    Article • January 2017, American Institute of Aeronautics and Astronautics (AIAA)

    Matthias Faes

  6. Quantification of non-homogeneous interval uncertainty based on scatter in modal properties

    Article • Procedia Engineering, January 2017, Elsevier

    Matthias Faes

  7. Variability, heterogeneity, and anisotropy in the quasi-static response of laser sintered PA12 components

    Article • Strain, December 2016, Wiley

    Matthias Faes

  8. Extrusion-based additive manufacturing of ZrO2 using photoinitiated polymerization

    Article • CIRP Journal of Manufacturing Science and Technology, August 2016, Elsevier

    Matthias Faes

  9. IDENTIFICATION OF INTERVAL FIELDS FOR SPATIAL UNCERTAINTY REPRESENTATION IN FINITE ELEMENT MODELS

    Article • January 2016, ECCOMAS

    Matthias Faes

  10. Influence of Inter-layer Cooling time on the Quasi-static Properties of ABS Components Produced via Fused Deposition Modelling

    Article • Procedia CIRP, January 2016, Elsevier

    Matthias Faes

  11. Extrusion-based 3D Printing of Ceramic Components

    Article • Procedia CIRP, January 2015, Elsevier

    Matthias Faes