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DEVELOPMENT OF ON-LINE SENSOR FOR PROPERTIES OF MOLTEN POLYMER USING NEAR INFRARED SPECTROSCOPY

近红外光谱熔融聚合物性能在线传感器的开发

基本信息

批准号：
10450285
负责人：
TANIGAKI Masataka
金额：
$ 4.74万
依托单位：
KYOTO UNIVERSITY
依托单位国家：
日本
项目类别：
Grant-in-Aid for Scientific Research (B).
财政年份：
1998
资助国家：
日本
起止时间：
1998 至 2000
项目状态：
已结题

来源：
https://kaken.nii.ac.jp/en/grant/KAKENHI-PROJECT-10450285/
关键词：
NIR spectroscopy On-line sensing Polymer Processing Density measurement Carbon dioxide Foaming Extrusion Plastics Sensor 濃度測定高分子樹脂発泡成形 NIR Density Sensor In-line Monitoring Polymer

项目摘要

Two new on-line sensors using near infrared (NIR) spectroscopy are developed in this project. One is for monitoring density of molten polyethylene polymer and the other is for monitoring CO2 concentration dissolved in the molten polymers.Density and melt index are two key properties in grading commercial polyolefin polymers. For quality assurance, these properties must be controlled as accurately as possible in the production plant. However, the lack of suitable in-line sensors for these properties makes feedback quality control difficult. In this project, an in-line density sensor using near infrared (NIR) spectroscopy was developed. The NIR spectra of molten pokyethylene in flow are collected by a fiber-optic device attached to a single screw extruder. By the ratio of the absorption intensity at 1170 nm to that at 1213 nm, the densities of 14 grades of polyethylene were successfully measured.By installing the same NIR probe at the foaming extruder, where carbon dioxide is introduced to make polymeric foams, concentration of carbon dioxide dissolved into the molten polymer could be measured on-line from the NIR spectra. The calibration curve relating the absorbance spectrum at 2019 nm to the dissolved gas concentration is derived so as to infer dissolved CO2 gas concentration form measured NIR spectra. Experimental reults show the developed sensor can successfully estimate dissolved CO2 concentration in at most three kinds of polymer, polyethylene, polypropylene and polybuthylene succinate.Those two developments illustrate that the NIR on-line sensing technique is among the more promising method for quality control of polymer production processes.

本计画研制两种新型近红外线感测器。密度和熔融指数是聚烯烃聚合物分级的两个关键指标，它们分别用于聚乙烯聚合物熔体密度和聚合物熔体中CO2浓度的监测。为了保证质量，必须在生产工厂中尽可能精确地控制这些特性。然而，缺乏合适的在线传感器，这些属性使得反馈质量控制困难。在这个项目中，开发了一种使用近红外（NIR）光谱的在线密度传感器。通过连接到单螺杆挤出机的光纤装置收集流动中的熔融聚合物的近红外光谱。利用1170 nm与1213 nm的吸收强度比值成功地测量了14种聚乙烯的密度，并在发泡挤出机上安装了相同的近红外探针，通过近红外光谱在线测量了熔融聚合物中二氧化碳的浓度。导出了将2019 nm处的吸收光谱与溶解气体浓度相关联的校准曲线，以便从测量的NIR光谱推断溶解的CO2气体浓度。实验结果表明，所研制的传感器可以成功地测量聚乙烯、聚丙烯和聚丁二酸丁二醇酯等3种聚合物中溶解的CO2浓度，说明近红外在线传感技术在聚合物生产过程的质量控制中是一种很有前途的方法。