A new process modeling method based on extension theory and its application in purified terephthalic acid solvent system

Zhu Qunxiong, Xu Yuan

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Owing to the complexity and nonlinearity of chemical process, the intelligent process modeling has become a hot issue. For the purified terephthalic acid (PTA) solvent system, the acetic acid consumption is a crucial production index that has received much more attention in monitoring and guiding the production conditions. In this work, the focus is on the understanding and modeling the influence of operating conditions on acetic acid consumption, which is composed of matter-element model, extension transformation and general regression neural network (GRNN).Thus it comes to an extension engineering method for process modeling of chemical industry. Through the actual application in PTA solvent system of a chemical plant, cases studies show that the proposed method enables us to understand matters in an overall way, to describe thinking process of human beings in a formalized way, to model the chemical process precisely, which exploits a new way to simulate and guide the production process in chemical industry.

Original languageEnglish
Title of host publicationCutting-Edge Research Topics on Multiple Criteria Decision Making
Subtitle of host publication20th International Conference, MCDM 2009, Chengdu/Jiuzhaigou, Proceedings
PublisherSpringer Verlag
Pages154-157
Number of pages4
ISBN (Print)9783642022975
DOIs
Publication statusPublished - 2009
Externally publishedYes

Publication series

NameCommunications in Computer and Information Science
Volume35
ISSN (Print)1865-0929

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