| کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن | 
|---|---|---|---|---|
| 10128347 | 1645134 | 2018 | 38 صفحه PDF | دانلود رایگان | 
عنوان انگلیسی مقاله ISI
												Non-destructive characterisation of all-polypropylene composites using small angle X-ray scattering and polarized Raman spectroscopy
												
											ترجمه فارسی عنوان
													خصوصیات غیر مخرب کامپوزیت های پلیپروپیلن با استفاده از پراکندگی اشعه ایکس زاویه کوچک و طیف سنجی رامان قطبی
													
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																																												کلمات کلیدی
												
											موضوعات مرتبط
												
													مهندسی و علوم پایه
													مهندسی مواد
													سرامیک و کامپوزیت
												
											چکیده انگلیسی
												Small angle X-ray scattering (SAXS) and polarized Raman spectroscopy were used to examine the structure of unidirectional all-polypropylene composites prepared at different consolidation temperatures. Analysis of the anisotropy of the X-ray scattering pattern provided a way to quantify the disorientation of the crystallites and a direct correlation has been found between a measure of overall orientation and the Young's modulus of the composites. In the case of the Raman spectroscopic measurements, the molecular orientation state of the reinforcing PP fibres were evaluated by classical least squares (CLS) modelling with real reference spectra. Strong correlation was evinced between the estimated relative degree of orientation of the reinforcing fibres and the Young's modulus of the multi-layered all-polypropylene composites. Based on these results, both SAXS and Raman spectroscopy are suitable methods to predict the mechanical performance of all-polymer composites, being especially sensitive to manufacturing and application conditions, in a non-destructive way.
											ناشر
												Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Composites Part A: Applied Science and Manufacturing - Volume 114, November 2018, Pages 250-257
											Journal: Composites Part A: Applied Science and Manufacturing - Volume 114, November 2018, Pages 250-257
نویسندگان
												Katalin Bocz, Kata EnikÅ Decsov, Attila Farkas, Dániel Vadas, Tamás Bárány, András Wacha, Attila Bóta, György Marosi, 
											