IONIA: An expert system for the prediction of the thermal decomposition of condensation polymers

Statheropoulos, M; Montaudo, G

dc.contributor.author	Statheropoulos, M	en
dc.contributor.author	Montaudo, G	en
dc.date.accessioned	2014-03-01T01:08:24Z
dc.date.available	2014-03-01T01:08:24Z
dc.date.issued	1991	en
dc.identifier.issn	0165-2370	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/10469
dc.relation.uri	http://www.scopus.com/inward/record.url?eid=2-s2.0-0011430676&partnerID=40&md5=b6949d2d784d75bd0c468d984094a93f	en
dc.subject	computer language OPS5	en
dc.subject	Condensation polymers	en
dc.subject	degradation pathways	en
dc.subject	Expert System	en
dc.subject	pyrolysis.	en
dc.subject.classification	Chemistry, Analytical	en
dc.subject.classification	Spectroscopy	en
dc.title	IONIA: An expert system for the prediction of the thermal decomposition of condensation polymers	en
heal.type	journalArticle	en
heal.language	English	en
heal.publicationDate	1991	en
heal.abstract	The production-system language OPS5 implemented in LISP with the MEA strategy and the RETE match algorithm is used for developing the Expert System (ES) IONIA. This is an ES for the prediction of thermal degradation processes, temperature of thermal degradation and degradation products of condensation polymers. The prediction is based on the structure of the polymers. The prototype for polyurethanes and polyureas is outlined as an example of how the system is functioning. The knowledge base used, both the chemical rules and the meta-rules, are discussed. The system makes an enhancement and change of the knowledge base possible. The advantages of IONIA in practical applications are presented. © 1991.	en
heal.publisher	ELSEVIER SCIENCE BV	en
heal.journalName	Journal of Analytical and Applied Pyrolysis	en
dc.identifier.isi	ISI:A1991GC78900006	en
dc.identifier.volume	20	en
dc.identifier.issue	C	en
dc.identifier.spage	57	en
dc.identifier.epage	63	en