4.5 Review

Monitoring of polymer melt processing

期刊

MEASUREMENT SCIENCE AND TECHNOLOGY
卷 21, 期 6, 页码 -

出版社

IOP PUBLISHING LTD
DOI: 10.1088/0957-0233/21/6/062001

关键词

process monitoring; in-line; on-line; polymers; micro and nano composites; melt processing; extrusion; mould injection; UV-vis; NIR; ultrasonics; light scattering; dielectric spectroscopy

资金

  1. Bundesministerium fur Wirtschaft und Arbeit via the Arbeitsgemeinschaft industrieller Forschungsgesellschaften [10943, 11961, 73Z, 122Z, 190 ZBG, 14452N, 14359N, 14454N, 15098N, 15988N, 16256N]
  2. German Federal Ministry of Education and Research (BMBF) [02PU2394, 02PU2361]

向作者/读者索取更多资源

The paper reviews the state-of-the-art of in-line and on-line monitoring during polymer melt processing by compounding, extrusion and injection moulding. Different spectroscopic and scattering techniques as well as conductivity and viscosity measurements are reviewed and compared concerning their potential for different process applications. In addition to information on chemical composition and state of the process, the in situ detection of morphology, which is of specific interest for multiphase polymer systems such as polymer composites and polymer blends, is described in detail. For these systems, the product properties strongly depend on the phase or filler morphology created during processing. Examples for optical (UV/vis, NIR) and ultrasonic attenuation spectra recorded during extrusion are given, which were found to be sensitive to the chemical composition as well as to size and degree of dispersion of micro or nanofillers in the polymer matrix. By small-angle light scattering experiments, process-induced structures were detected in blends of incompatible polymers during compounding. Using conductivity measurements during extrusion, the influence of processing conditions on the electrical conductivity of polymer melts with conductive fillers (carbon black or carbon nanotubes) was monitored.

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

4.5
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