Modelling the mechanical performance of textile composites is typically based on idealised unit cell geometry. However, 3D woven feature more complex architecture then 2D materials, and in reality nominally straight warp weft yarns can also possess significant waviness. For such textiles, idealising as entities becomes an oversimplification. In this study, voxel method a continuum damage model are used finite element analysis to compute stress–strain curves for orthogonal composite under...

Information sharing in supply chains can be challenged by privacy concerns. Equating data and information, the existing literature primarily focuses on incentivisation behind information between firms. The field of AI may bring a new way looking at this problem asking following question: what if we do not share raw but learned from it instead? This raises next question, with whom when should chain members which address paper. We develop novel adaptive federated learning approach for...

Fibre path defects are detrimental to the structural integrity of composite components and need be minimised through process optimization. This requires understanding uncured pre-preg material, which is influenced by multiple parameters, sophisticated multi-scale modelling tools. Even though capabilities techniques have been improved over past decades, occurrence localised wrinkles remains challenging predict. One processes known influence formation fibre consolidation laminates manufactured...

Fiber waviness is one of the most significant defects that occurs in composites due to severe knockdown mechanical properties it causes. This paper investigates mechanisms for generation fiber path during processing prepreg materials and proposes new predictive numerical models. A key focus work was on thick sections, where consolidation ply stack leads out plane movement. deformation can either directly lead or cause excess length a turn formation wrinkles. The novel model, built extensive...

The paper presents a new modelling concept for describing the compressibility of toughened uncured prepregs over wide range processing conditions (i.e. automatic fibre deposition, hot debulking and pre-curing consolidation). primary challenge work is to simulate material response due complex flow deformation mechanisms. This generation prepreg systems exhibits both percolation (bleeding) typical conventional thermosets, where pressure gradient causes resin relative fibres, shear (squeezing)...

3D composite materials are characterized by complex internal yarn architectures, leading to deformation and failure development mechanisms. Net-shaped preforms, which originally periodic in nature, lose their periodicity when the fabric is draped, deformed on a tool, consolidated create geometrically components. As result, architecture, dominates mechanical behaviour, becomes dependent structural geometry. Hence, predicting behaviour of composites requires an accurate representation...

The vast research area of modeling three-dimensional (3D) woven fabrics can be subdivided into several domains, each them having its own challenges and difficulties — some are already solved implemented in software, while still wait for their solution. This paper discusses the following problems reviews available solutions: coding structure 3D weaves; building a geometrical model fabric; calculation deformation resistance transformation finite element mesh; prediction elastic mechanical...

The article presents a user interface for modelling of textile composites, which combines open XML input and output formats with scripting definitions the reinforcement models under (local) shear, tension compression deformations. format (parameters reinforcement) allows easy integration meso-level (unit cell) processor upstream – with, example, process software or forming models, define local parameters reinforcement. command makes possible automated processing information on deformation...

This paper presents a methodology and research study that characterises toughened materials, as is needed for optimisation of composite manufacturing processes. The specific challenge to cover all the stages advanced manufacturing: fibre deposition by automatic placement machines, hot or room temperature debulking, consolidation in an autoclave. In these processes material experiences wide range processing parameters: pressure, load rate, temperatures, boundary constraints. conditions,...

This paper proposes a new method for predicting the compression behaviour of 2D woven fabrics during consolidation phase Liquid Composite Moulding processes. A kinematic, multi-chain beam finite element is first used to simulate evolution internal architecture fabric single and multi-layer compaction hyper-elastic constitutive model, based on compressive response yarn, then proposed implemented into framework analysis mechanical loading dry fabric. utilises as-woven geometries generated by...

Numerical and Gleeble experimental data are combined to predict potential microstructure hardness profiles through the wall thickness of an induction hardened slurry transportation pipe made a recently developed 0.4 wt% C, Nb-microalloyed steel. The calculated thermal history various positions industrial (400 mm diameter, 10 thick) were with model that predicts phase transformations, microstructures final values on heating cooling along arbitrary cycles. accuracy profile predictions was...

Functionalising composites can drastically affect their processability, reduce formability and inhibit conventional manufacturing routes. For instance, the incorporation of rigid carbon aerogel in continuous preforms for structural power applications prevents shearing or bending. Enabling expands geometry components that are manufacturable thus range industrial applications. This study investigates new routes achieving both functional formable using sequential resin infusion controlled by...

Inspired by the diverse set of technologies used in underground object detection and imaging, we introduce a novel multimodal linear search problem whereby single searcher starts at origin must find target that can only be detected when moves through its location using correct $p$ possible modes. The target's location, distance $d$ from origin, mode are all initially unknown to searcher. We prove tight upper lower bounds on competitive ratio for this problem. Specifically, show is odd,...