Stepan Vladimirovitch Lomov

TL;DR: In this paper, the deformation properties of steel and glass fiber knitted fabrics are analyzed. And the authors describe an experimental procedure for derivation of the fabric thickness dependence on its deformation using biaxial tension, shear and compression tests.

Abstract: Abstract In this paper, the formability of a single layer E-glass non-crimp 3D orthogonal woven reinforcement (commercialized under trademark 3WEAVE® by 3Tex Inc.) is experimentally investigated. The study involves the forming process of the 3D fabric on two complex moulds, namely tetrahedron and double-dome. The tests are assisted by 3D digital image correlation measurement to have a continuous registration of the fabric local deformation. Moreover, the results of bending tests in warp and weft direction are detailed to enlarge the mechanical properties data set of the 3D reinforcement, necessary for understanding its deformability capacities in forming processes. The elevated bending stiffness of the 3D fabric means that use of a blank-holder during forming is not required. The reinforcement has a good drapability and it is able to form complex shapes without defects (wrinkles and fibre distortions). The collected experimental results represent an important dataset for numerical simulations of any complex shape with the considered 3D fabric composite reinforcement.

TL;DR: In this article, the debonding behavior of steel fiber composites is analyzed using a parametric finite element modeling procedure and compared with conventional composites with carbon and glass fibers, including carbon-glass fibers.

TL;DR: In this paper, the authors compared values of the same non-crimp and woven fabrics, measured in the benchmarking exercise in e leven laborato ries employing different methods, e.g. saturated and non-saturated p rmeability, radial and unidirectional flow.

TL;DR: In this paper, the challenges of scanning natural elements such as flax fibres or pine cone are listed and the identification of features that are important for estimation of the mechanical properties of composites can be achieved with image processing techniques.