The Experts below are selected from a list of 41613 Experts worldwide ranked by ideXlab platform

P De Baets - One of the best experts on this subject based on the ideXlab platform.

  • finite element approach for modelling fatigue damage in fibre Reinforced Composite Materials
    Composites Part B-engineering, 2001
    Co-Authors: W Van Paepegem, Joris Degrieck, P De Baets
    Abstract:

    Today, a lot of research is dedicated to the fatigue behaviour of fibre-Reinforced Composite Materials, due to their increasing use in all sorts of applications. These Materials have a quite good rating as regards to life time in fatigue, but the same does not apply to the number of cycles to initial damage nor to the evolution of damage. Composite Materials are inhomogeneous and anisotropic, and their behaviour is more complicated than that of homogeneous and isotropic Materials such as metals. A new finite element approach is proposed in order to deal with two conflicting demands: (i) due to the gradual stiffness degradation of a fibre-Reinforced Composite Material under fatigue, stresses are continuously redistributed across the structure and as a consequence the simulation should follow the complete path of successive damage states; (ii) the finite element simulation should be fast and computationally efficient to meet the economic needs. The authors have adopted a cycle jump approach which allows to calculate a set of fatigue loading cycles at deliberately chosen intervals and to account for the effect of the fatigue loading cycles in between in an accurate manner. The finite element simulations are compared against the results of fatigue experiments on plain woven glass/epoxy specimens with a [#45°]8 stacking sequence.

Yonghui Wang - One of the best experts on this subject based on the ideXlab platform.

  • the mechanical property prediction of fibre Reinforced Composite Materials based on a new generating random fibre distributions method
    International Conference on Multimedia and Expo, 2015
    Co-Authors: Heyuan Huang, Meiying Zhao, Yonghui Dai, Yonghui Wang
    Abstract:

    Keywords: represent volume element (RVE), fibre distributions, image processing, statistical description, Composite, elastic properties prediction. Abstract: This paper focuses on the issues of the fibre-Reinforced Composite Material microstructure and presents a new numerical method to generate random fibre distributions and predict the macroscopic mechanical properties of Composite Materials based on the represent volume element (RVE). The method, named the random sequence generation algorithm (RSGA), obtains fibre radius distributions and positional relationships by image processing to generate a statistical equivalence RVE effectively. On this basis, the Composite Material microstructure finite element model is established to predict its macroscopic elastic properties by Python language in ABAQUS. Comparative analysis shows the algorithm is in good agreement with experimental results and has the statistical equivalence herein. The research of this paper on the algorithm for Composite Materials of fibre distributions provides a useful alternative to generate random numerical models that can be used in micromechanical analysis of Composite Materials.

Michael Newton - One of the best experts on this subject based on the ideXlab platform.

  • a natural fibre Reinforced Composite Material for multi modal medical imaging and radiotherapy treatment
    Materials Letters, 2019
    Co-Authors: Robert H Morris, Abi Spicer, Keith Langmack, Walter Boersma, John S Weightman, Christophe L Trabi, Michael Newton
    Abstract:

    Abstract There is strong clinical need for a class of Materials compatible with all common medical imaging modalities including Magnetic Resonance Imaging and X-Ray Computed Tomography which provide minimum attenuation to high intensity X-Ray photons used in Radiotherapy treatment, to improve patient outcomes and recovery times. In this work, we present a new natural fibre Composite comprising wood pulp derived fibres embedded in polyester resin and bonded to expanded polystyrene cores. The resulting structure is demonstrated to have low visibility on Magnetic Resonance Imaging, X-Ray megavoltage imaging and Computed Tomography and to be less attenuating to radiotherapy photons than the commonly used carbon fibre or glass fibre Reinforced Composite Materials. It is anticipated that this new Material will facilitate improved radiotherapy planning and thus treatment outcomes.

Paul Bere - One of the best experts on this subject based on the ideXlab platform.

  • DESIGN CONSIDERATIONS FOR A MODERN TRAM BOGIE: FROM SHEET METAL TO MULTI-LAYER CARBON FIBER Reinforced Composite Material
    2020
    Co-Authors: Radu Chiorean, Paul Bere, Mircea Cristian Dudescu, Calin Neamtu, Marius Fartan
    Abstract:

    Abstract: This paper presents the first steps undertaken by a mixed research team in order to validate a modern light-weight bogie frame made of a multi-layer carbon fiber Reinforced Composite Material. An initial design based on the traditional sheet metal fabrication techniques was developed by an experienced team at the Remarul 16 Februarie SA railway depot, which was them redesigned into a model suitable for vacuum molding fabrication technology that is specific for Composite Materials manufacturing. The structure was analyzed using Finite Element Analysis in ANSYS Workbench. Key words: bogie frame, carbon fiber Reinforced Composite Materials, finite element analysis

  • development of environmental technology for carbon fibre Reinforced Materials recycling
    2013
    Co-Authors: Vasile Adrian Ceclan, Paul Bere, Marian Borzan, Sorin Grozav, Cristina Borzan
    Abstract:

    This article presents a new Material obtained from a mix of waste of carbon fibre, sand and an epoxy resin. The obtained Material values the reinforcement Material waste that is accumulated in the process of production, of the companies that produce fibre-Reinforced Composite Material. This new Material obtained from the integral value of the carbon fibre waste is used as a Material for the consolidation of the moulds made of Composite Material or in the domain of construction Materials. The authors realize a study regarding the physico-mechanical characteristics of the morphology of the breaking surfaces and a chemical analysis of the EDAX constituents. The mechanical characteristics of this new Material at compression, show us values doubled from the ones of a classic concrete and a density decreased with approximately 20 percent.

  • phenomenological fracture model for biaxial fibre Reinforced Composites
    Composites Part B-engineering, 2012
    Co-Authors: Paul Bere, Petru Berce, Ovidiu Nemes
    Abstract:

    Abstract This paper proposes a new mathematical fracture model (FM) applicable to a biaxial Reinforced Composite Material. The mathematical model provides predictions about the limit state of Composite Material. It is applicable both in uniaxial and biaxial requests. The mathematical model is validated by comparing its predictions with the experimental data obtained by authors. The studied Composite Material is composed by carbon fibre in epoxy matrix. The process used for obtaining the Composite Materials plates is vacuum forming.

Veronique Michaud - One of the best experts on this subject based on the ideXlab platform.

  • processing and damage recovery of intrinsic self healing glass fiber Reinforced Composites
    Smart Materials and Structures, 2016
    Co-Authors: Federica Sordo, Veronique Michaud
    Abstract:

    Glass fiber Reinforced Composites with a self-healing, supramolecular hybrid network matrix were produced using a modified vacuum assisted resin infusion moulding process adapted to high temperature processing. The quality and fiber volume fraction (50%) of the obtained Materials were assessed through microscopy and matrix burn-off methods. The thermo-mechanical properties were quantified by means of dynamic mechanical analysis, revealing very high damping properties compared to traditional epoxy-based glass fiber Reinforced Composites. Self-healing properties were assessed by three-point bending tests. A high recovery of the flexural properties, around 72% for the elastic modulus and 65% of the maximum flexural stress, was achieved after a resting period of 24 h at room temperature. Recovery after low velocity impact events was also visually observed. Applications for this intrinsic and autonomic self-healing highly Reinforced Composite Material point towards semi-structural applications where high damping and/or integrity recovery after impact are required.