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Influence of Fabric Parameters on Microstructure,Mechanical Properties and Failure Mechanisms in Carbon-Fibre Reinforced Composites 被引量:2
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作者 B.Wielage D.Richter +1 位作者 H.Mucha Th.Lampke 《Journal of Materials Science & Technology》 SCIE EI CAS CSCD 2008年第6期953-959,共7页
The effects of fibre/matrix bonding, fabric density, fibre volume fraction and bundle size on microstructure, mechanical properties and failure mechanisms in carbon fibre reinforced composites (plastic and carbon mat... The effects of fibre/matrix bonding, fabric density, fibre volume fraction and bundle size on microstructure, mechanical properties and failure mechanisms in carbon fibre reinforced composites (plastic and carbon matrix) have been investigated. The microstructure of unloaded and cracked samples was studied by optical microscopy and scanning electron microscopy (SEM), respectively whereas the mechanical behaviour was examined by 3- point bending experiments. Exclusively one type of experimental resole type phenolic resin was applied. A strong fibre/matrix bonding, which is needed for high strength of carbon fibre reinforced plastic (CFRP) materials leads to severe composite damages during the pyrolysis resulting in low strength, brittle failure and a very low utilisation of the fibres strain to failure in C/C composites. Inherent fabric parameters such as an increasing fabric density or bundle size or a reduced fibre volume fraction introduce inhomogenities to the CFRP's microstructure. Results are lower strength and stiffness whereas the strain to failure increases or remains unchanged. Toughness is almost not affected. In C/C composites inhomogenities due to a reduced bundle size reduce strain to failure, strength, stiffness and toughness. Vice versa a declining fibre volume fraction leads to exactly the opposite behaviour. Increasing the fabric density (weight per unit area) causes similar effects as in CFRPs. 展开更多
关键词 CFRPs C/C Fibre/matrix bonding fabric density Fibre volume fraction Roving size MICROSTRUCTURE Failure behaviour
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Automated Density Measurement of Weft Knitted Fabrics Using Backlight Imaging
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作者 ZHANG Jing LIU Shuhua +2 位作者 XIN Binjie YUAN Zhijie XU Yingqi 《Wuhan University Journal of Natural Sciences》 CAS CSCD 2023年第6期508-522,共15页
This paper proposes a new density measurement algorithm to address the issues of poor applicability and inaccurate results associated with the automatic density measurement algorithm for weft-knitted fabrics.The algor... This paper proposes a new density measurement algorithm to address the issues of poor applicability and inaccurate results associated with the automatic density measurement algorithm for weft-knitted fabrics.The algorithm involves collecting the transmitted light image of the knitted fabric,calculating the tilt angle using the skewing correction algorithm,and rotating the image to correct the weft skew present therein.The pre-rotated and post-rotated images are then projected vertically and horizontally in grayscale,and the obtained projection curves are used to represent the distribution of loops in vertical and horizontal rows.This study proposed a wave peak coordinate verification algorithm that calculates the coursewise densities and walewise densities of the knitted fabric.In experiments,the proposed density measurement method is found to exhibit an accuracy above 98%when compared with the manual mode. 展开更多
关键词 knitted fabric fabric density loop identification image analysis density measurement
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