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Please use this identifier to cite or link to this item: http://dspace.library.iitb.ac.in/jspui/handle/10054/10428

Title: A KNOWLEDGE INTENSIVE METHODOLOGY FOR THERMODYNAMIC CHOICES
Authors: PARANJAPE, PK
KUDCHADKER, AP
Keywords: expert systems
malfunction diagnosis
chemical-plants
state
models
equations
networks
mixtures
Issue Date: 1993
Publisher: PERGAMON-ELSEVIER SCIENCE LTD
Citation: COMPUTERS & CHEMICAL ENGINEERING, 17(7), 717-738
Abstract: A knowledge intensive approach has been developed for choosing an appropriate thermodynamic correlation for a given process calculation. The limitations of a typical nonexpert, and the strength and the responsibilities of a domain expert (or a knowledge-based expert system) have been clearly identified. A prototype expert system CHOCOVALE (CHoice of COrrelation for VApor-Liquid Equilibrium computations) which assumes the responsibility of making most of the necessary intelligent judgments, has been developed for making an appropriate choice of a vapor liquid equilibrium computation methodology. The advice of CHOCOVALE has been compared to that given by thermodynamic experts for more than 50 test mixtures at different process conditions. The results indicate that CHOCOVALE is a competent advisor.
URI: http://dx.doi.org/10.1016/0098-1354(93)80058-U
http://dspace.library.iitb.ac.in/xmlui/handle/10054/10428
http://hdl.handle.net/10054/10428
ISSN: 0098-1354
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