An Integrated Dynamic and Quality Modeling Framework for Batch Processes

IF 3.7 3区 工程技术 Q2 ENGINEERING, CHEMICAL
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引用次数: 0

Abstract

This manuscript considers batch process operations and addresses the challenge of identifying a model that synergistically captures the dynamic input–output behavior of continuously measured variables along with the quality variables measured only at batch termination. To this end, an optimization-based framework is developed to identify one model that captures both the dynamics between the inputs and the continuously measured output variables, measurements of which are available at every time step, and the relation between the dynamic “state” information and the terminal quality measurements. Existing approaches either do not identify the dynamic and the quality model simultaneously, or they simply connect the whole trajectory of the process variables with the qualities and do not address the dynamic relationship between the inputs and the process variables. The improved modelling performance of the model obtained from this approach is demonstrated using data from a Uni-axial Rotational Molding process, and compared with existing modelling approaches.
批量工艺的动态和质量综合建模框架
本手稿考虑了批量流程操作,并解决了确定一个模型的难题,该模型可协同捕捉连续测量变量的动态输入输出行为,以及仅在批量终止时测量的质量变量。为此,我们开发了一个基于优化的框架,以确定一个既能捕捉输入与连续测量的输出变量(可在每个时间步进行测量)之间动态关系,又能捕捉动态 "状态 "信息与终端质量测量之间关系的模型。现有的方法要么没有同时确定动态模型和质量模型,要么只是将过程变量的整个轨迹与质量联系起来,而没有解决输入与过程变量之间的动态关系。通过使用单轴旋转成型工艺的数据,并与现有的建模方法进行比较,证明了这种方法所获得的模型的改进建模性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Chemical Engineering Research & Design
Chemical Engineering Research & Design 工程技术-工程:化工
CiteScore
6.10
自引率
7.70%
发文量
623
审稿时长
42 days
期刊介绍: ChERD aims to be the principal international journal for publication of high quality, original papers in chemical engineering. Papers showing how research results can be used in chemical engineering design, and accounts of experimental or theoretical research work bringing new perspectives to established principles, highlighting unsolved problems or indicating directions for future research, are particularly welcome. Contributions that deal with new developments in plant or processes and that can be given quantitative expression are encouraged. The journal is especially interested in papers that extend the boundaries of traditional chemical engineering.
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