CAREER: Online Estimation of MWD of Polymer Melts Using Broad-Band Dielectric Measurements: Sensor Development and Control

职业：使用宽带介电测量在线估算聚合物熔体的 MWD：传感器开发和控制

• 批准号: 9875462
• 负责人: Mikhail Skliar
• 金额: $ 20万
• 依托单位: University of Utah
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 1999
• 资助国家: 美国
• 起止时间: 1999-04-01 至 2004-03-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9875462&HistoricalAwards=false
• 关键词: CAREER; Online; Estimation; MWD; Polymer

Proposal Title: CAREER: Online Estimation of MWD of Polymer Melts Using Broad-Band Dielectric Measurements: Sensor Development and ControlProposal Number: CTS-9875462Principal Investigator: Mikhail SkliarInstitution: University of UtahThe focus of the proposed research program is on the development of sensing technology and model-inversion based identification methods to infer online the molecular weight distribution (MWD) of polymer melts based on broad-band dielectric measurements. The ultimate goal of the research is to develop new polymer processing technology for online customization of the properties of the final product by varying the processing conditions during extrusion and molding. The inverted fringe-effect microdielectric sensing with controlled depth of field penetration is a novel approach for measuring spatially resolved properties of a material in a direction normal to the interface. In the proposed approach, methods for inferring MWD online from dielectric measurements will be based on theoretical modeling of polymer relaxation in electromagnetic fields and on statistical correlation methods. Theoretical and experimental studies will be followed by the development of advanced process control systems, which will enable online polymer customization by varying conditions during processing. The educational program is aimed at creating a balanced undergraduate process control curriculum, which includes project-based hands-on experience in implementing practical control systems in laboratory settings.

项目名称：职业：基于宽带介电测量的聚合物熔体分子量在线估计：传感器开发与控制项目编号：cts -9875462项目负责人：Mikhail SkliarInstitution: University of utah研究项目的重点是基于宽带介电测量的基于传感技术和基于模型反演的识别方法的开发，以在线推断聚合物熔体的分子量分布（MWD）。研究的最终目标是开发新的聚合物加工技术，通过改变挤出和成型过程中的加工条件来在线定制最终产品的性能。具有可控场深穿透的反向条纹效应微介电传感是一种在垂直于界面方向上测量材料空间分辨特性的新方法。在提出的方法中，从介电测量在线推断随钻测井的方法将基于电磁场中聚合物弛豫的理论建模和统计相关方法。在理论和实验研究之后，将开发先进的过程控制系统，这将使在线聚合物定制能够在加工过程中改变条件。教育计划旨在创建一个平衡的本科过程控制课程，其中包括在实验室环境中实施实际控制系统的基于项目的实践经验。