TY - JOUR
T1 - Quantitative evaluation of process-induced yarn geometric imperfection effect on mechanical response of plain-woven C/SiC composites
T2 - X-ray tomography-based finite element analysis
AU - Gu, Zhouyue
AU - Zhu, Xiaolei
AU - Lu, Xiaofeng
AU - Wang, Panding
AU - Lei, Hongshuai
N1 - Publisher Copyright:
© 2025 Elsevier Ltd
PY - 2025/4
Y1 - 2025/4
N2 - In this paper, the morphology and distribution of yarn imperfections induced by the fabrication process in C/SiC composites were captured and statistically analyzed by X-ray computed tomography using deep learning methods for image processing. Subsequently, these imperfections were decoupled into four typical characteristic imperfections: fiber cross-sectional shape, under-sized (over-sized) yarn cross-section, yarn cross-section variation, and yarn waviness. High-fidelity image-based finite element method (IB-FEM) model was generated from CT images, which considered the mesoscopic geometric morphology. The tensile response and failure mechanism of the as-designed model, IB-FEM model, and statistical models were established and verified by experimental results. The impact of yarn geometric imperfections on tensile properties was systematically discussed and elucidated. The results indicate that the intensification of yarn geometric imperfections (yarn cross-section variation and yarn waviness) significantly weakened the ultimate bearing capacity and failure strain of composites under tension, which have greater impacts than other geometric imperfections.
AB - In this paper, the morphology and distribution of yarn imperfections induced by the fabrication process in C/SiC composites were captured and statistically analyzed by X-ray computed tomography using deep learning methods for image processing. Subsequently, these imperfections were decoupled into four typical characteristic imperfections: fiber cross-sectional shape, under-sized (over-sized) yarn cross-section, yarn cross-section variation, and yarn waviness. High-fidelity image-based finite element method (IB-FEM) model was generated from CT images, which considered the mesoscopic geometric morphology. The tensile response and failure mechanism of the as-designed model, IB-FEM model, and statistical models were established and verified by experimental results. The impact of yarn geometric imperfections on tensile properties was systematically discussed and elucidated. The results indicate that the intensification of yarn geometric imperfections (yarn cross-section variation and yarn waviness) significantly weakened the ultimate bearing capacity and failure strain of composites under tension, which have greater impacts than other geometric imperfections.
KW - C/SiC composites
KW - Image-based finite element method
KW - X-ray tomography
KW - Yarn geometric imperfections
UR - http://www.scopus.com/inward/record.url?scp=85214340679&partnerID=8YFLogxK
U2 - 10.1016/j.tws.2025.112917
DO - 10.1016/j.tws.2025.112917
M3 - Article
AN - SCOPUS:85214340679
SN - 0263-8231
VL - 209
JO - Thin-Walled Structures
JF - Thin-Walled Structures
M1 - 112917
ER -