Optimization of process parameters of major aerospace composites manufacturing
techniques is essential for manufacturing high-quality aerospace components. However …

The increase in the number of structural applications of composite materials, especially in
the aerospace and automotive industries, has led to a demand for robust models to simulate …

A deep learning procedure has been examined for automatic segmentation of 3D
tomography images from fiber-reinforced ceramic composites consisting of fibers and matrix …

Deconsolidation of carbon-fiber reinforced thermoplastic laminate occurs while (pre) heating
the materials during their forming processes. Pores nucleate, grow and lead to degradations …

Capillarity plays a crucial role in many natural and engineered systems, ranging from
nutrient delivery in plants to functional textiles for wear comfort or thermal heat pipes for heat …

X-ray computed tomography (XCT) combined with computer simulations have proved to be
an extremely powerful and versatile tool for material characterization in recent years. The …

Monitoring microstructure evolution during the preparation has always been a difficult
problem in the modification studies of SiC composite matrix. Here, we used X-ray …

The construction and examination of meso-structural finite element models of a Chemical-
Vapor-Infiltrated (CVI) C/SiC composite is carried out based on X-ray microtomography …

Image segmentation with deep learning models has significantly improved the accuracy of
the pixel-wise labeling of scientific imaging which is critical for many quantitative image …

Micro-computed tomography (µCT) is a valuable tool for visualizing microstructures and
damage in fiber-reinforced composites. However, the large sets of data generated by µCT …