The Experts below are selected from a list of 138 Experts worldwide ranked by ideXlab platform
Stepan Vladimirovitch Lomov - One of the best experts on this subject based on the ideXlab platform.
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Micro-macro structural analysis of Textile composite parts
2020Co-Authors: Stepan Vladimirovitch Lomov, Bjorn Van Den Broucke, F. Tumer, Ignace Verpoest, P. De Luka, L. DufortAbstract:The micro-macro calculation chain (draping simulation – local shear – local Textile Geometry – local stiffness of the composite – structural finite element analysis (FEA) of the part) is validated against experimental measurements at local (shear angles and local strains) and on global (load-deflection curve) levels. The results are also compared with FEA based on classical laminate theory calculation of local material properties.
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multi scale modelling strategy for Textile composites based on stochastic reinforcement Geometry
Computer Methods in Applied Mechanics and Engineering, 2016Co-Authors: Andy Vanaerschot, Stepan Vladimirovitch Lomov, Dirk VandepitteAbstract:Abstract The quality of high-performance composite structures is difficult to predict. Variability in the macroscopic performance is dominated by the spatial randomness in the geometrical characteristics of the reinforcement, especially for Textile composites. This work provides a roadmap for generating realistic virtual Textile specimens spanning multiple unit cells, which are required to perform high-fidelity simulations. First, the geometrical variability in the reinforcement structure is experimentally quantified on the meso- and macro-scale in terms of average trends, standard deviations and correlation lengths. Next, each reinforcement parameter is modelled by the sum of its average trend and its zero-mean deviations, which are both determined by analysing experiments. Virtual specimens are then created using advanced simulation techniques that match the experimental statistics. Depending on the nature of measured correlations, the simulation technique is either a Monte Carlo Markov Chain method, a cross-correlated Karhunen–Loeve Series Expansion technique or a Fourier Transform method used in combination with a Markov Chain algorithm. In a last step, a virtual representation of the Textile Geometry is constructed in geometrical modelling software, such as the commercially available WiseTex software. The multi-scale framework is validated using data for a carbon–epoxy 2/2 twill woven composite produced by resin transfer moulding: the simulated tow deviations trends replicate the target statistics.
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Experimentally validated stochastic Geometry description for Textile composite reinforcements
Composites Science and Technology, 2016Co-Authors: Andy Vanaerschot, Brian N. Cox, Stepan Vladimirovitch Lomov, Dirk VandepitteAbstract:The uncertain quality of composites, due to variability in the mechanical response, forces design engineers to employ high safety margins to ensure that the design requirements are met. Especially for Textile composites, an improved assessment of the quality of any composite material is achieved by identification and simulation of the inherent uncertainty in the reinforcement Geometry. This paper presents such a comprehensive multi-scale strategy to develop realistic stochastic replicas of a composite material, with emphasis on the identification step. First, the scatter in the tow reinforcement is characterised on the short-range (meso-scale) and long-range (macro-scale) from high-resolution images. Next, a probabilistic uncertainty quantification method is proposed to analyse the variability of each path parameter in terms of average trend, standard deviation and correlation information. This set of statistical information is essential to reproduce the random Textile Geometry in a numerical simulation approach. The multi-scale framework delivers representative models in the WiseTex format and is demonstrated for a carbon-epoxy 2/2 twill woven composite produced by resin transfer moulding.
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deformability and internal Geometry of Textile reinforcements and laminates
Proc. ICCM-14 14th International Conference on Composite Materials, 2003Co-Authors: Stepan Vladimirovitch Lomov, Ignace Verpoest, Marcin Barburski, Kasteelpark ArenbergAbstract:SUMMARY: The paper presents an approach to model the behaviour of a representative volume element (unit cell) of Textile reinforcement in in-plane deformation and in compression. The model is a further development of a virtual Textile concept implemented in the WiseTex software, and is based on a hierarchical description of Textile properties and systematic application of the principle of minimum energy to calculate the Textile Geometry in the relaxed and deformed state. With the internal Geometry of the unit cell built, the model computes overall parameters of the deformed Textile, such as fibre volume fraction, porosity etc. The load-deformation curve is computed via the balance between change of the internal energy of the unit cell and mechanical work of the applied loads. The nesting of reinforcement in Textile laminates is studied using a 3D geometrical model of a woven, braided and non-crimp stitched fabrics in the relaxed and sheared state.
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Mathematical modelling of internal Geometry and deformability of woven performs
International Journal of Forming Processes, 2003Co-Authors: Stepan Vladimirovitch Lomov, Ignaas Verpoest, Tanh Truong, Teo Peeters, Dirk Roose, Philippe Boisse, Alain GasserAbstract:The paper presents an approach to model the behaviour of a representative volume element (unit cell) of Textile reinforcement in in-plane deformation (bi-axial tension and shear) and in compression. The model is a further development of a virtual Textile concept implemented in the WiseTex software, and is based on the concept of hierarchical description of Textile properties and systematic application of the principle of minimum energy to calculate the Textile Geometry in the relaxed and deformed state. With the internal Geometry of the unit cell built, the model computes overall parameters of the deformed Textile, such as fibre volume fraction, porosity etc. The internal Geometry is visualised and such properties as pore structure in typical cross-sections are analysed. The load-deformation curves for compression, tension and shear are computed via the balance between change of the internal energy of the unit cell and mechanical work of the applied loads. The internal Geometry description is further fed into flow modelling software, which allows computing local permeability of the deformed reinforcement, and micro-mechanical modelling to calculate homogenised local stiffness of the composite.
Dirk Vandepitte - One of the best experts on this subject based on the ideXlab platform.
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multi scale modelling strategy for Textile composites based on stochastic reinforcement Geometry
Computer Methods in Applied Mechanics and Engineering, 2016Co-Authors: Andy Vanaerschot, Stepan Vladimirovitch Lomov, Dirk VandepitteAbstract:Abstract The quality of high-performance composite structures is difficult to predict. Variability in the macroscopic performance is dominated by the spatial randomness in the geometrical characteristics of the reinforcement, especially for Textile composites. This work provides a roadmap for generating realistic virtual Textile specimens spanning multiple unit cells, which are required to perform high-fidelity simulations. First, the geometrical variability in the reinforcement structure is experimentally quantified on the meso- and macro-scale in terms of average trends, standard deviations and correlation lengths. Next, each reinforcement parameter is modelled by the sum of its average trend and its zero-mean deviations, which are both determined by analysing experiments. Virtual specimens are then created using advanced simulation techniques that match the experimental statistics. Depending on the nature of measured correlations, the simulation technique is either a Monte Carlo Markov Chain method, a cross-correlated Karhunen–Loeve Series Expansion technique or a Fourier Transform method used in combination with a Markov Chain algorithm. In a last step, a virtual representation of the Textile Geometry is constructed in geometrical modelling software, such as the commercially available WiseTex software. The multi-scale framework is validated using data for a carbon–epoxy 2/2 twill woven composite produced by resin transfer moulding: the simulated tow deviations trends replicate the target statistics.
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Experimentally validated stochastic Geometry description for Textile composite reinforcements
Composites Science and Technology, 2016Co-Authors: Andy Vanaerschot, Brian N. Cox, Stepan Vladimirovitch Lomov, Dirk VandepitteAbstract:The uncertain quality of composites, due to variability in the mechanical response, forces design engineers to employ high safety margins to ensure that the design requirements are met. Especially for Textile composites, an improved assessment of the quality of any composite material is achieved by identification and simulation of the inherent uncertainty in the reinforcement Geometry. This paper presents such a comprehensive multi-scale strategy to develop realistic stochastic replicas of a composite material, with emphasis on the identification step. First, the scatter in the tow reinforcement is characterised on the short-range (meso-scale) and long-range (macro-scale) from high-resolution images. Next, a probabilistic uncertainty quantification method is proposed to analyse the variability of each path parameter in terms of average trend, standard deviation and correlation information. This set of statistical information is essential to reproduce the random Textile Geometry in a numerical simulation approach. The multi-scale framework delivers representative models in the WiseTex format and is demonstrated for a carbon-epoxy 2/2 twill woven composite produced by resin transfer moulding.
Ignaas Verpoest - One of the best experts on this subject based on the ideXlab platform.
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Mathematical modelling of internal Geometry and deformability of woven performs
International Journal of Forming Processes, 2003Co-Authors: Stepan Vladimirovitch Lomov, Ignaas Verpoest, Tanh Truong, Teo Peeters, Dirk Roose, Philippe Boisse, Alain GasserAbstract:The paper presents an approach to model the behaviour of a representative volume element (unit cell) of Textile reinforcement in in-plane deformation (bi-axial tension and shear) and in compression. The model is a further development of a virtual Textile concept implemented in the WiseTex software, and is based on the concept of hierarchical description of Textile properties and systematic application of the principle of minimum energy to calculate the Textile Geometry in the relaxed and deformed state. With the internal Geometry of the unit cell built, the model computes overall parameters of the deformed Textile, such as fibre volume fraction, porosity etc. The internal Geometry is visualised and such properties as pore structure in typical cross-sections are analysed. The load-deformation curves for compression, tension and shear are computed via the balance between change of the internal energy of the unit cell and mechanical work of the applied loads. The internal Geometry description is further fed into flow modelling software, which allows computing local permeability of the deformed reinforcement, and micro-mechanical modelling to calculate homogenised local stiffness of the composite.
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Integrated Models Of Textile Composites
WIT Transactions on the Built Environment, 2002Co-Authors: Stepan Vladimirovitch Lomov, E.b. Belov, Ignaas VerpoestAbstract:ply warp-lcmtstitched fabrics provided for models of composites reinforced with woven and multi-axial multitools for analysis of composites processing and properties. Examples are mechanical and permeability models for composites, which provide simulation and tension. The model of the Textile Geometry serves as a base for mesolinear, non-conservative inelastic behaviour of yams in compression, bending for Textile composites. It allows handling of complex Textile structure with nonprinciple of Textile modelling, creating an integrated modelling and design tool challenge addressed m the paper is to take full advantage of the herarchcal represented by a model of Textile Geometry and mechanical behaviour. The Textile materials are characterised by a herarchy of structure, which can be
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Textile composites: modelling strategies
Composites Part A-applied Science and Manufacturing, 2001Co-Authors: Stepan Vladimirovitch Lomov, Andreas Prodromou, Richard S. Parnas, G Huysmans, Ignaas Verpoest, Frederick R PhelanAbstract:Textile materials are characterised by the distinct hierarchy of structure, which should be represented by a model of Textile Geometry and mechanical behaviour. In spite of a profound investigation of Textile materials and a number of theoretical models existing in the Textile literature for different structures, a model covering all structures typical for composite reinforcements is not available. Hence the challenge addressed in the present work is to take full advantage of the hierarchical principle of Textile modelling, creating a truly integrated modelling and design tool for Textile composites. It allows handling of complex Textile structure computations in computer time counted by minutes instead of hours of the same non-linear, non-conservative behaviour of yarns in compression and bending. The architecture of the code implementing the model corresponds to the hierarchical structure of Textile materials. The model of the Textile Geometry serves as a base for meso-mechanical and permeability models for composites, which provide therefore simulation tools for analysis of composite processing and properties.
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Hierarchy of Textile Structures and Architecture of Fabric Geometric Models
Textile Research Journal, 2001Co-Authors: Stepan Vladimirovitch Lomov, G Huysmans, Ignaas VerpoestAbstract:Textile materials are characterized by a distinct structural hierarchy, which should be represented by a model of Textile Geometry and its mechanical behavior. Despite extensive investigations of t...
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Textile composites: Modelling strategies
Composites - Part A: Applied Science and Manufacturing, 2001Co-Authors: Stepan Vladimirovitch Lomov, Andreas Prodromou, Richard S. Parnas, Yingwu Luo, G Huysmans, Ignaas Verpoest, Frederick R PhelanAbstract:Textile materials are characterised by the distinct hierarchy of structure, which should be represented by a model of Textile Geometry and mechanical behaviour. In spite of a profound investigation of Textile materials and a number of theoretical models existing in the Textile literature for different structures, a model covering all structures typical for composite reinforcements is not available. Hence the challenge addressed in the present work is to take full advantage of the hierarchical principle of Textile modelling, creating a truly integrated modelling and design tool for Textile composites. It allows handling of complex Textile structure computations in computer time counted by minutes instead of hours of the same non-linear, non-conservative behaviour of yarns in compression and bending. The architecture of the code implementing the model corresponds to the hierarchical structure of Textile materials. The model of the Textile Geometry serves as a base for meso-mechanical and permeability model s for composites, which provide therefore simulation tools for analysis of composite processing and properties. © 2001 Elsevier Science Ltd. All rights reserved.
Julie R Steele - One of the best experts on this subject based on the ideXlab platform.
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Can fabric sensors monitor breast motion
Journal of Biomechanics, 2007Co-Authors: Toni E. Campbell, Bridget J Munro, Gordon G. Wallace, Julie R SteeleAbstract:Abstract To establish whether conducting polymer-coated fabric sensors could be used to monitor breast motion, vertical breast motion of two large breasted women (C+ bra cup) was simultaneously monitored using an OPTO TRAK ® 3020 motion analysis system (200 Hz) and polymer-coated fabric sensors linked to a custom-made Bluetooth telemetry system (100 Hz) as the subjects walked and ran on a treadmill (7–10 km h −1 ). Sensor strain, change in resistance and vertical breast displacement relative to trunk movement were output for analysis. It was concluded that, although polymer-coated fabric sensors may exhibit a small response lag due to Textile Geometry changes, they were able to accurately and reliably represent changes in the amplitude of vertical breast displacement during treadmill gait.
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Can fabric sensors monitor breast motion?
Journal of Biomechanics, 2007Co-Authors: Toni E. Campbell, Bridget J Munro, Julie R SteeleAbstract:To establish whether conducting polymer-coated fabric sensors could be used to monitor breast motion, vertical breast motion of two large breasted women (C+ bra cup) was simultaneously monitored using an OPTOTRAK®3020 motion analysis system (200 Hz) and polymer-coated fabric sensors linked to a custom-made Bluetooth telemetry system (100 Hz) as the subjects walked and ran on a treadmill (7-10 km h-1). Sensor strain, change in resistance and vertical breast displacement relative to trunk movement were output for analysis. It was concluded that, although polymer-coated fabric sensors may exhibit a small response lag due to Textile Geometry changes, they were able to accurately and reliably represent changes in the amplitude of vertical breast displacement during treadmill gait. © 2007 Elsevier Ltd. All rights reserved.
Andy Vanaerschot - One of the best experts on this subject based on the ideXlab platform.
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multi scale modelling strategy for Textile composites based on stochastic reinforcement Geometry
Computer Methods in Applied Mechanics and Engineering, 2016Co-Authors: Andy Vanaerschot, Stepan Vladimirovitch Lomov, Dirk VandepitteAbstract:Abstract The quality of high-performance composite structures is difficult to predict. Variability in the macroscopic performance is dominated by the spatial randomness in the geometrical characteristics of the reinforcement, especially for Textile composites. This work provides a roadmap for generating realistic virtual Textile specimens spanning multiple unit cells, which are required to perform high-fidelity simulations. First, the geometrical variability in the reinforcement structure is experimentally quantified on the meso- and macro-scale in terms of average trends, standard deviations and correlation lengths. Next, each reinforcement parameter is modelled by the sum of its average trend and its zero-mean deviations, which are both determined by analysing experiments. Virtual specimens are then created using advanced simulation techniques that match the experimental statistics. Depending on the nature of measured correlations, the simulation technique is either a Monte Carlo Markov Chain method, a cross-correlated Karhunen–Loeve Series Expansion technique or a Fourier Transform method used in combination with a Markov Chain algorithm. In a last step, a virtual representation of the Textile Geometry is constructed in geometrical modelling software, such as the commercially available WiseTex software. The multi-scale framework is validated using data for a carbon–epoxy 2/2 twill woven composite produced by resin transfer moulding: the simulated tow deviations trends replicate the target statistics.
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Experimentally validated stochastic Geometry description for Textile composite reinforcements
Composites Science and Technology, 2016Co-Authors: Andy Vanaerschot, Brian N. Cox, Stepan Vladimirovitch Lomov, Dirk VandepitteAbstract:The uncertain quality of composites, due to variability in the mechanical response, forces design engineers to employ high safety margins to ensure that the design requirements are met. Especially for Textile composites, an improved assessment of the quality of any composite material is achieved by identification and simulation of the inherent uncertainty in the reinforcement Geometry. This paper presents such a comprehensive multi-scale strategy to develop realistic stochastic replicas of a composite material, with emphasis on the identification step. First, the scatter in the tow reinforcement is characterised on the short-range (meso-scale) and long-range (macro-scale) from high-resolution images. Next, a probabilistic uncertainty quantification method is proposed to analyse the variability of each path parameter in terms of average trend, standard deviation and correlation information. This set of statistical information is essential to reproduce the random Textile Geometry in a numerical simulation approach. The multi-scale framework delivers representative models in the WiseTex format and is demonstrated for a carbon-epoxy 2/2 twill woven composite produced by resin transfer moulding.