High-resolution computed tomography in resin infused woven carbon fibre composites with voids

Tomographic imaging using both microfocus radiation and synchrotron radiation was performed to assess the void defects in resin transfer moulded woven carbon fibre composites. The focus of this study is on characterising the void homology (e.g. local void size and spatial distribution) in relation to weave orientation, infusion direction and potential effects on damage formation in tensile loading. As the orientation angle between the fibre direction of unidirectional layer in the laminate and the direction of the global resin flow increases, from parallel to perpendicular, larger voids and a greater volume fraction of voids were observed, which led to increased damage formation upon loading. Significant accumulation of voids around both the layer interfaces and yarn fibres were also observed. With regard to yarn design, it is recommended to balance the benefits (e.g. fabric handling, structural integrity of preform) and drawbacks (e.g. lower fibre content, more voids) of the supporting yarn. Also, sensible placement of resin inlets and outlets could reduce the amount of deleterious voids, i.e. by promoting resin flow along the fibre direction in the most defect-sensitive off-axis layers.

[1]  Andris Jakovics,et al.  Bubble formation and motion in non-crimp fabrics with perturbed bundle geometry , 2010 .

[2]  Hakobyan Yeranuhi,et al.  Random Heterogeneous Materials , 2008 .

[3]  Philippe Olivier,et al.  Effects of cure cycle pressure and voids on some mechanical properties of carbon/epoxy laminates , 1995 .

[4]  B. R. Gebart,et al.  Permeability of Unidirectional Reinforcements for RTM , 1992 .

[5]  Shanyi Du,et al.  Critical Void Content for Thermoset Composite Laminates , 2009 .

[6]  F. Sket,et al.  Optimization of curing cycle in carbon fiber-reinforced laminates: Void distribution and mechanical properties , 2013 .

[7]  G. Requena,et al.  An in situ investigation of microscopic infusion and void transport during vacuum-assisted infiltration by means of X-ray computed tomography , 2015 .

[8]  W. Lee,et al.  Modeling and simulation of voids and saturation in liquid composite molding processes , 2011 .

[9]  Andris Jakovics,et al.  Bubble motion through non-crimp fabrics during composites manufacturing , 2008 .

[10]  Liu Yi,et al.  Study on void formation in multi-layer woven fabrics , 2004 .

[11]  M. Brandley Void Modeling in Resin Infusion , 2015 .

[12]  George S. Springer,et al.  Effects of Cure Pressure on Resin Flow, Voids, and Mechanical Properties , 1987 .

[13]  Ian Sinclair,et al.  3D damage characterisation and the role of voids in the fatigue of wind turbine blade materials , 2012 .

[14]  Lisa Axe,et al.  Developments in synchrotron x-ray computed microtomography at the National Synchrotron Light Source , 1999, Optics & Photonics.

[15]  T. Lundström Measurement of void collapse during resin transfer moulding , 1997 .

[16]  F. Trochu,et al.  Optimization of injection flow rate to minimize micro/macro-voids formation in resin transfer molded composites , 2006 .

[17]  F. Sket,et al.  Effect of curing cycle on void distribution and interlaminar shear strength in polymer-matrix composites , 2011 .

[18]  Sérgio Frascino Müller de Almeida,et al.  Effect of void content on the strength of composite laminates , 1994 .

[19]  Boming Zhang,et al.  Effects of cure cycles on void content and mechanical properties of composite laminates , 2006 .

[20]  Andrew Makeev,et al.  Measurement of voids in composites by X-ray Computed Tomography , 2013 .

[21]  L. J. Lee,et al.  Experimental investigation of flow-induced microvoids during impregnation of unidirectional stitched fiberglass mat , 1996 .

[22]  Jan-Anders E. Månson,et al.  Capillary Effects in Liquid Composite Moulding with Non-Crimp Fabrics , 2003 .

[23]  Roberts Joffe,et al.  Effect of voids on failure mechanisms in RTM laminates , 1995 .

[24]  Ian Sinclair,et al.  Influence of voids on damage mechanisms in carbon/epoxy composites determined via high resolution computed tomography , 2014 .

[25]  A. Todoroki,et al.  Void formation in geometry–anisotropic woven fabrics in resin transfer molding , 2014 .

[26]  Rikard Gebart,et al.  Influence from process parameters on void formation in resin transfer molding , 1994 .

[27]  David T. Fullwood,et al.  Microstructure Sensitive Design for Performance Optimization , 2012 .

[28]  Janis Varna,et al.  Effects of voids on quasi-static and tension fatigue behaviour of carbon-fibre composite laminates , 2015 .

[29]  이우일,et al.  Resin Transfer Molding의 수치해석에 관한 연구 , 1989 .

[30]  K. Koelling,et al.  Void transport in resin transfer molding , 2004 .

[31]  M. Altan,et al.  Effect of packing on void morphology in resin transfer molded E‐glass/epoxy composites , 2005 .

[32]  Paolo Ermanni,et al.  Numerical prediction and experimental characterisation of meso-scale-voids in liquid composite moulding , 2007 .

[33]  Chung Hae Park,et al.  Modeling void formation and unsaturated flow in liquid composite molding processes: a survey and review , 2011 .

[34]  Ramesh Talreja,et al.  Effects of void geometry on elastic properties of unidirectional fiber reinforced composites , 2005 .

[35]  Analysis of void removal in liquid composite molding using microflow models , 2002 .

[36]  J. Llorca,et al.  Mechanisms of in-plane shear deformation in hybrid three-dimensional woven composites , 2015 .

[37]  L. J. Lee,et al.  Effects of fiber mat architecture on void formation and removal in liquid composite molding , 1995 .

[38]  K. Potter,et al.  Dynamic capillary impact on longitudinal micro-flow in vacuum assisted impregnation and the unsaturated permeability of inner fiber tows , 2010 .

[39]  Timotei Centea,et al.  Measuring the impregnation of an out-of-autoclave prepreg by micro-CT , 2011 .

[40]  Christophe Binetruy,et al.  A new numerical procedure to predict dynamic void content in liquid composite molding , 2006 .

[41]  Suresh G. Advani,et al.  Effective average permeability of multi-layer preforms in resin transfer molding , 1996 .