作者: M.A. Ali , R. Umer , K.A. Khan , W.J. Cantwell
DOI: 10.1016/J.COMPSCITECH.2019.01.030
关键词: Boundary value problem 、 Pressure drop 、 Mechanics 、 Composite material 、 Flow (psychology) 、 Fluid dynamics 、 Compaction 、 Materials science 、 Characterization (materials science) 、 Permeability (earth sciences) 、 Yarn
摘要: Abstract A robust platform in the form of a hybrid experimental-numerical framework is proposed for reinforcement characterization with minimal material consumption and labor costs. In this approach, X-ray micro computed tomography (XCT) images 3D orthogonal fabric at different levels compaction were acquired through non-destructive experimental setup. The XCT reconstructed to generate models from which computational unit cells extracted numerical solutions boundary value problem using governing equations fluid dynamics. flow field data solution used compute virtual preform permeability, was found be very good agreement benchmark results. Geometrical measurements taken quantify variabilities within architecture. modified permeability model has been validated predictions. analysis pressure drop direction suggest that z-binder yarn poses major obstruction in-plane flow. sizes inter-yarn channels, as well shape yarn, play vital role determining overall values. gaps larger top bottom layers relative middle layers, results dominant regime these outermost layers. areal weft greater than warp direction. presented here highlight versatility method over traditional techniques.