We propose an analytical method to evaluate the dispersion of additives in polymers using FT-IR spectroscopic imaging. Averaging filters with various window sizes were intentionally applied to imaging data measured with high resolution. The window size dependent coefficients of variance (CV) were calculated to evaluate the dispersion state in each sample. CVs in an ideally dispersed sample will be flat, on the other hand, less-than-ideal dispersions will show a steep CV curve.
Our proposed method was validated by applying the method to imaging data of polypropylene (PP)/ cellulose nanofiber (CNF) composite, which recently have been attracting a great attention due to their excellent characteristics. One of the dominant factors determining performance of a PP/CNF composite,
e.g., Young’s modulus, tensile strength, is the dispersibility of CNF in PP. The PP/CNF composites prepared by different mixers were measured by FT-IR spectroscopic imaging and evaluated by our proposed method. A significant difference among samples was observed in the curves of CV against the window size. The PP/CNF sample mixed by a narrower clearance of a kneader, which is subjected to better mixing, showed a gentle slope of CV. The PP/CNF sample mixed by wider clearance, in contrast, showed a steep slope of CV. It was therefore confirmed that the curve of CV against the window size of the averaging filter were obtained in response to the dispersion state of each composite. We have shown that our proposed method is effective to evaluate the dispersion state of polymer composites.
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