首页> 外文期刊>Дефектосколия >CLASSIFICATION OF ACOUSTIC EMISSION SIGNALS COLLECTED DURING TENSILE TESTS ON UNIDIRECTIONAL ULTRA HIGH MOLECULAR WEIGHT POLYPROPYLENE FIBER REINFORCED EPOXY COMPOSITES USING PRINCIPAL COMPONENT ANALYSIS
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CLASSIFICATION OF ACOUSTIC EMISSION SIGNALS COLLECTED DURING TENSILE TESTS ON UNIDIRECTIONAL ULTRA HIGH MOLECULAR WEIGHT POLYPROPYLENE FIBER REINFORCED EPOXY COMPOSITES USING PRINCIPAL COMPONENT ANALYSIS

机译:利用主成分分析法对单向超高分子量聚丙烯纤维增强环氧树脂复合材料进行拉伸测试时收集的声发射信号分类

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The objective of this study is to utilize a mathematical procedure for the evaluation of damage mechanism in ultra high molecular weight polypropylene/epoxy composite (UHMWPP/epoxy) specimen with different configuration based on the analysis of the AE signals of presented. Principal component analysis (PCA) is powerful tool, which utilized for the classification of the monitored AE transients. We worked on epoxy LI 60 resin, UHMWPP fiber bundle and UHMWPP/epoxy unidirectional specimens, subjected to tensile loading. Using model specimens exhibiting a predominant damage mechanism, correlations were established between the observed damage growth mechanisms and the AE parameter variances result in PCA. Outputs from this study revealed that the PCA is an effective tool for identifying damage modes such as matrix cracking, fibre/matrix debonding, fibre breakage and fibre pull-out in the UHMWPP/epoxy composites. The presence of damage modes in UHMWPP/epoxy composites was proven with scanning electron microscopy (SEM) images.
机译:这项研究的目的是基于所呈现的AE信号的分析,利用一种数学程序来评估具有不同构型的超高分子量聚丙烯/环氧树脂复合材料(UHMWPP /环氧树脂)标本的损伤机理。主成分分析(PCA)是功能强大的工具,可用于对监视的AE瞬变进行分类。我们研究了承受张力载荷的环氧LI 60树脂,UHMWPP纤维束和UHMWPP /环氧单向试样。使用表现出主要破坏机制的模型标本,在观察到的破坏增长机制与PCA的AE参数方差之间建立了相关性。这项研究的结果表明,PCA是一种有效的工具,可用于识别超高分子量聚乙烯/环氧树脂复合材料中的破坏模式,例如基体开裂,纤维/基体剥离,纤维断裂和纤维拉出。 UHMWPP /环氧树脂复合材料中损坏模式的存在已通过扫描电子显微镜(SEM)图像证明。

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