jeroen

Strain mapping around fibre breaks in single- and multi-fibre composites: quantifying microscale deformation and damage via digital volume correlation

Abstract In this study, digital volume correlation (DVC) is applied to high-resolution synchrotron tomograms of glass fibre-reinforced epoxy composites, in both single- and multi-fibre configurations, subjected to longitudinal tension. The investigated single-fibre composites experience fibre fracture, longitudinal debonding, and matrix cracking, with their combined effects on strain recovery captured. In contrast, multi-fibre composites, consisting of […]

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Wettability of hydrophobic silica aerogel granules and powders

Abstract The state of the art for characterizing the wettability of silica aerogel granules and powders heavily relies on the use of static contact angle measurements obtained through goniometer experiments. However, measuring contact angles of (super)hydrophobic silica aerogel granules and powders might give inaccurate results and are prone to user errors due to the high

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Design and Implementation of a Novel Fiber Deposition System to Enable Laser Sintering of Chopped Fiber Reinforced Polymers

Abstract In this research, the design and implementation of a novel chopped fiber deposition system for the laser sintering (LS) process is discussed. The system allows deposition of chopped fibers with different lengths and of multiple fiber types in a commercial LS machine. A weight percentage of 5% (2 vol%) glass fibers can be implemented

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Impact of Disinfection and Sterilization on 3D-Printing Resin Performance for Surgical Guides in Cardiac Ablation Surgery

Abstract Patient-tailored, 3D-printed surgical guides offer significant potential to improve precision and therapeutic efficacy in cardiac ablation surgery. However, reliable post-sterilization material performance presents a critical yet underexplored barrier to clinical adoption. This study investigates how disinfection and sterilization impact the mechanical and thermal properties of photopolymer resins. Specimens from two 3D-printing resins (Bioflex A80 MB™, 3Dresyns;

Impact of Disinfection and Sterilization on 3D-Printing Resin Performance for Surgical Guides in Cardiac Ablation Surgery Read More »

Multiscale image-based modelling of composite materials

Abstract By control of their constituents, interfaces and architectures, composite materials can display a much broader suite of beneficial material properties than is possible for single-phase materials. Furthermore, advanced manufacturing techniques are increasing the freedom to operate of composite designers. While much can be achieved with idealised models of composites, models are needed that more

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A time-resolved X-ray microcomputed tomography study of fermenting gluten-starch model doughs containing wheat and oat flour water extracts enriched in proteins

A B S T R A C T Water-extractable (WE) cereal flour constituents significantly influence bread loaf volume. However, the underlying mechanisms and the contribution of different constituents remain unclear. Here, time-resolved X-ray microcomputed tomography ( µ CT) and confocal laser scanning microscopy were utilized to study the impact of wheat and oat flour water

A time-resolved X-ray microcomputed tomography study of fermenting gluten-starch model doughs containing wheat and oat flour water extracts enriched in proteins Read More »

In situ biaxial tensile testing of composites: coupling X-ray computed tomography and digital volume correlation with finite element simulations

Abstract The mechanical behaviour of fibre-reinforced composites under multiaxial loading is critical for their structural performance but remains challenging to characterise at the microscale. This study introduces a novel biaxial loading rig designed for in situ X-ray Computed Tomography (XCT) characterisation of fibre-reinforced composites. The rig enables controlled biaxial stress states while maintaining compatibility with

In situ biaxial tensile testing of composites: coupling X-ray computed tomography and digital volume correlation with finite element simulations Read More »

Panoptic segmentation for complete labeling of fruit microstructure in 3D micro-CT images with deep learning

Abstract Metabolic processes in plant organs involving transport of water, metabolic gasses, and nutrients depend on the three-dimensional (3D) microscopic tissue morphology. However, imaging and quantifying this microstructure, including the spatial layout of parenchyma cells, pores, vascular bundles and special features such as stone cell clusters (brachysclereids), is challenging. To address this, a 3D deep

Panoptic segmentation for complete labeling of fruit microstructure in 3D micro-CT images with deep learning Read More »