NDLI: Recent advances in process systems engineering

Content Provider	IEEE Xplore Digital Library
Author	Linninger, A.A.
Copyright Year	2001
Description	Author affiliation: Dept. of Chem. Eng., Illinois Univ., Chicago, IL, USA (Linninger, A.A.)
Abstract	A crucial success factor in a technology driven market is coupled with the ability to understand and interpret new technologies expeditiously and convert this knowledge into a competitive advantage. In the search for procedures to advance corporate know-how faster, mathematical modeling is becoming an indispensable tool. The new challenge for systems research is to create a new breed of computer-based technologies for assistance and/or partial automation of the creative modeling process. Meta-modeling is a modeling paradigm for rapid computer-aided model generation of large multi-scale systems in industrial practice. It proposes model building by means of phenomena-oriented modeling languages. Using the domain-specific language concepts, users compose process models by specifying the physical and chemical phenomena in a fully declarative fashion. Automatic interpretation of the high-level concepts of the model application leads to an equivalent set of system equations. Computer-aided model generation enables engineering teams to formulate highly structured process models in short amount of time. It also focuses the modeling effort onto the fundamental principles governing a process model without the need for explicit coding of all constitutive and balance equations. This article discusses recent advances and open challenges for computer-aided model generation.
Sponsorship	IEEE Instrum. & Meas. Soc.
Starting Page	1665
Ending Page	1670
File Size	673209
Page Count	6
File Format	PDF
ISBN	0780366468
ISSN	10915281
DOI	10.1109/IMTC.2001.929486
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2001-05-21
Publisher Place	Hungary
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Systems engineering and theory Equations Mathematical model Computational modeling Automation Computer simulation Laboratories Process design Chemical engineering Uniform resource locators
Content Type	Text
Resource Type	Article
Subject	Instrumentation Electrical and Electronic Engineering

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