4.7 Article

Using infrared spectroscopy in combination with multivariate data analysis to predict residual strength of carbon fiber reinforced polymers after one-sided thermal loading

期刊

POLYMER COMPOSITES
卷 42, 期 8, 页码 4138-4154

出版社

WILEY
DOI: 10.1002/pc.26136

关键词

ATR‐ FTIR spectroscopy; CFRP; chemometrics; ILSS; PLS; thermal damage

资金

  1. Projekt DEAL

向作者/读者索取更多资源

The study investigated structural, mechanical, and chemical changes of thermally loaded CFRPs, aiming to predict residual strength and delamination depth using infrared spectroscopy. By analyzing ILSS and delamination depth, it was found that models considering varying sample thicknesses and heat fluxes can accurately predict performance changes in CFRPs.
In this study, structural, mechanical, and chemical changes of one-sided thermally loaded carbon fiber reinforced polymers (CFRPs) are investigated. The aim is to test and reliably predict residual strength and delamination depth by using infrared spectroscopy. CFRP of different thicknesses (HexPly (R) 8552/IM7) were irradiated at varying heat fluxes over various time intervals. The inhomogeneously distributed matrix degradation was analyzed by means of attenuated total reflection Fourier transform infrared spectroscopy with a depth resolution of 0.2 mm. Residual interlaminar shear strength (ILSS) was determined and microfocused computed X-ray tomography was used to measure the delamination depth. Principal component analyses were performed to show which information in the infrared spectra is affected by thermal loading. Furthermore, the combination of spectra taken at different depths of the CFRP can be used to develop partial least squares regression models to predict ILSS and delamination depth. Despite an inhomogenous distribution of thermal damage, precise predictions of ILSS and delamination depth with models considering varying sample thicknesses and heat fluxes were achieved.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据