Article, 2024

Deep-learning versus greyscale segmentation of voids in X-ray computed tomography images of filament-wound composites

COMPOSITES PART A-APPLIED SCIENCE AND MANUFACTURING, ISSN 1359-835X, Volume 177, 10.1016/j.compositesa.2023.107937

Contributors

Upadhyay, Shailee (Corresponding author) [1] [2] Smith, Abraham George [3] Vandepitte, Dirk [2] Lomov, Stepan V. [2] Swolfs, Yentl [2] Mehdikhani, Mahoor [2]

Affiliations

  1. [1] SIM vzw, Technol Pk 48, B-9052 Zwijnaarde, Belgium
    2. [NORA names: Belgium; Europe, EU; OECD];
  2. [2] Dept Mat Engn, KU Leuven, Kasteelpark Arenberg 44 bus 2450, B-3001 Leuven, Belgium
    3. [NORA names: Belgium; Europe, EU; OECD];
  3. [3] Univ Copenhagen, Dept Comp Sci, Univ PK 1, DK-2100 Copenhagen, Denmark
    4. [NORA names: KU University of Copenhagen; University; Denmark; Europe, EU; Nordic; OECD]

Abstract

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Keywords

A. Carbon fibre, B. Porosity, D. CT analysis, E. Filament winding

Data Provider: Clarivate

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