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In-line sensing of CO{sub}2 concentration in polymeric extrusion foaming process

机译:聚合物挤出发泡过程中Co {亚} 2浓度的在线感测

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摘要

An in4ine sensor using near infrared (NIR) spectroscopy was developed for sensing carbon dioxide (CO{sub}2) concentration in molten polymers during the extrusion foaming process. The sensor obtains the CO{sub}2 concentration from the measured NIR absorption spectra. The spectra were acquired in-line through probes equipped at the die of the extruder. The experiments were conducted on three different polymers, polypropylene (PP), low-density polyethylene (LDPE) and polybutylene succinate (PBS), at different flow rates and at different operating temperature. By employing wavelet transforms for analyzing the NIR spectra, the influence of the operating conditions such as operating temperature and flow rate on CO{sub}2 measurement could be eliminated. The regression model derived from the wavelet-treated NIR spectra could successfully estimate the CO{sub}2 concentrations for all three polymers.
机译:在挤出发泡过程中,开发了使用近红外线(NIR)光谱法的IN11ine传感器,用于在熔融聚合物中感测熔融聚合物中的二氧化碳(CO {亚} 2)浓度。 传感器从测量的NIR吸收光谱获得CO {亚} 2浓度。 通过配备在挤出机的模具的探针在线获得光谱。 在三种不同的聚合物,聚丙烯(PP),低密度聚乙烯(LDPE)和聚丁烯琥珀酸盐(PBS)上进行实验,在不同的流速和不同的操作温度下进行。 通过采用用于分析NIR光谱的小波变换,可以消除诸如CO {SUB} 2测量上的操作温度和流速的操作条件的影响。 来自小波处理的NIR光谱的回归模型可以成功地估计所有三种聚合物的CO {亚} 2浓度。

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