[HTML][HTML] Composites for electric vehicles and automotive sector: A review
The automotive sector is undergoing a significant transformation to address critical
challenges affecting consumers and the climate. One of the most difficult tasks is reducing …
challenges affecting consumers and the climate. One of the most difficult tasks is reducing …
[HTML][HTML] Digital image and volume correlation for deformation and damage characterisation of fibre-reinforced composites: A review
Digital image and volume correlation (DIC and DVC) are increasingly being used to
measure the deformation and damage behaviour of composite materials. The …
measure the deformation and damage behaviour of composite materials. The …
An overview of the recent advances in composite materials and artificial intelligence for hydrogen storage vessels design
M Nachtane, M Tarfaoui, M Abichou, A Vetcher… - Journal of Composites …, 2023 - mdpi.com
The environmental impact of CO2 emissions is widely acknowledged, making the
development of alternative propulsion systems a priority. Hydrogen is a potential candidate …
development of alternative propulsion systems a priority. Hydrogen is a potential candidate …
Graphene nanoparticles as data generating digital materials in industry 4.0
One of the potential applications of 2D materials is to enhance multi-functionality of
structures and components used in aerospace, automotive, civil and defense industries …
structures and components used in aerospace, automotive, civil and defense industries …
An investigation on the coupling of data-driven computing and model-driven computing
The aim of this work is to investigate the coupling of data-driven (DD) computing and model-
driven (MD) computing for the analyses of engineering structures. The data-driven …
driven (MD) computing for the analyses of engineering structures. The data-driven …
Micro-mechanical analysis on random RVE size and shape in multiscale finite element modelling of unidirectional FRP composites
NK Balasubramani, B Zhang, NT Chowdhury… - Composite …, 2022 - Elsevier
Developing a high-fidelity stochastic multi-scale modelling framework that can capture the
structure–property relationship in a computationally efficient manner is of interest to the …
structure–property relationship in a computationally efficient manner is of interest to the …
[HTML][HTML] Predictions of macroscopic mechanical properties and microscopic cracks of unidirectional fibre-reinforced polymer composites using deep neural network …
Fibre-reinforced polymer (FRP) composites have been widely used in different engineering
sectors due to their excellent physical and mechanical properties. Therefore, fast …
sectors due to their excellent physical and mechanical properties. Therefore, fast …
Simultaneous reinforcement of both rigidity and energy absorption of polyamide-based composites with hybrid continuous fibers by 3D printing
The use of continuous fiber as reinforcement is well known to improve the mechanical
performance of thermoplastic printed laminated composites. However, it is difficult to …
performance of thermoplastic printed laminated composites. However, it is difficult to …
X-ray CT based multi-layer unit cell modeling of carbon fiber-reinforced textile composites: Segmentation, meshing and elastic property homogenization
Y Sinchuk, O Shishkina, M Gueguen, L Signor… - Composite …, 2022 - Elsevier
Generation of realistic finite element method (FEM) geometry of a textile composite material
at tow scale remains a challenging stage of material modeling. In this paper, a FE model …
at tow scale remains a challenging stage of material modeling. In this paper, a FE model …
[HTML][HTML] Multiscale damage modelling of notched and un-notched 3D woven composites with randomly distributed manufacturing defects
This work proposes a stochastic multiscale computational framework for damage modelling
in 3D woven composite laminates, by considering the random distribution of manufacturing …
in 3D woven composite laminates, by considering the random distribution of manufacturing …