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In-line fiber-optic spectroscopy: Applications to polymer process monitoring.

机译:在线光纤光谱:在聚合物过程监控中的应用。

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摘要

Near-infrared (NIR) spectroscopy has several advantages over conventional mid-infrared (MIR) techniques, such as remote data collection coupled with rapid data analysis methods, availability of fiber-optics, and lack of sample handling problems. These advantages have led to the widespread use of NIR spectroscopy for in-line chemical process measurements. Earlier research studies have addressed problems related to development of fiber-optics, feasibility of in-line monitoring of processes in harsh process environments, data analysis techniques, new process applications, and real-time process control strategies. In the area of polymer process engineering, NIR spectroscopy is being primarily used for measurements of polymer composition in copolymers, polymer blends during extrusion and injection molding; monitoring reaction kinetics; and estimation of physical properties, such as density, relative viscosity, et cetera.;In this research, the applicability of NIR spectroscopy has been extended to make simultaneous measurements in an in-line extrusion process of rheological properties and composition of flowing polymer melts. A methodology is proposed and demonstrated for estimating polymer melt index and linear viscoelastic properties for a system of ethylene-vinyl acetate random copolymers. This methodology involved developing calibration models, which were subsequently utilized for real-time monitoring. Qualitative analysis is provided for assignation of spectral regions for the rheological properties and the comonomer ratio. The research also addressed the issue of in-line polymer additive monitoring using fiber-optic near-infrared and ultraviolet spectroscopy. Predictive calibration models and exploratory data analysis techniques were used as definitive studies for examining the feasibility of in-line trace-level additive monitoring.
机译:与传统的中红外(MIR)技术相比,近红外(NIR)光谱技术具有多个优势,例如远程数据收集和快速数据分析方法,光纤的可用性以及缺少样品处理问题。这些优点导致近红外光谱技术广泛用于在线化学过程测量。较早的研究已经解决了与光纤开发,在苛刻的过程环境中对过程进行在线监视的可行性,数据分析技术,新过程的应用以及实时过程控制策略有关的问题。在聚合物工艺工程领域,NIR光谱法主要用于测量共聚物在挤出和注塑过程中的共聚物,聚合物共混物中的聚合物组成;监测反应动力学;并评估物理性质,例如密度,相对粘度等;在这项研究中,近红外光谱的适用性已得到扩展,可以在流变性质和流动的聚合物熔体组成的在线挤出过程中进行同时测量。提出并证明了用于估算乙烯-乙酸乙烯酯无规共聚物体系的聚合物熔体指数和线性粘弹性的方法。这种方法涉及开发校准模型,随后将其用于实时监控。提供定性分析以指定光谱区域的流变性质和共聚单体比率。该研究还解决了使用光纤近红外和紫外光谱法在线监测聚合物添加剂的问题。预测性校准模型和探索性数据分析技术被用作确定性研究,以检验在线痕量级添加剂监测的可行性。

著录项

  • 作者

    Vedula, Srinivas.;

  • 作者单位

    The University of Tennessee.;

  • 授予单位 The University of Tennessee.;
  • 学科 Chemical engineering.;Plastics.
  • 学位 Ph.D.
  • 年度 1997
  • 页码 238 p.
  • 总页数 238
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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