Online cure parameter identification using neural networks and dielectric sensing

Pantelelis, NG; Maistros, G

dc.contributor.author	Pantelelis, NG	en
dc.contributor.author	Maistros, G	en
dc.date.accessioned	2014-03-01T02:49:33Z
dc.date.available	2014-03-01T02:49:33Z
dc.date.issued	2003	en
dc.identifier.issn	08910138	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/34608
dc.relation.uri	http://www.scopus.com/inward/record.url?eid=2-s2.0-0842333129&partnerID=40&md5=b1480b660ca91793c23d08ae70ee27d0	en
dc.subject	Control	en
dc.subject	Curing	en
dc.subject	Dielectric cure monitoring	en
dc.subject	Neural Networks	en
dc.subject.other	Computer simulation	en
dc.subject.other	Curing	en
dc.subject.other	Dielectric materials	en
dc.subject.other	Identification (control systems)	en
dc.subject.other	Isotherms	en
dc.subject.other	Neural networks	en
dc.subject.other	Numerical methods	en
dc.subject.other	Online systems	en
dc.subject.other	Resin transfer molding	en
dc.subject.other	Sensors	en
dc.subject.other	Dielectric sensing	en
dc.subject.other	Liquid composite molding (LCM)	en
dc.subject.other	Glass fiber reinforced plastics	en
dc.title	Online cure parameter identification using neural networks and dielectric sensing	en
heal.type	conferenceItem	en
heal.publicationDate	2003	en
heal.abstract	The proposed method will demonstrate that the main characteristics of the composite material production related to the cure process can be identified in real-time and in situ by the use of appropriate trained Neural Networks and the dielectric cure monitoring method. The dielectric cure monitoring, which relies on the interrogation of fully wetted dielectric sensors, is capable of determining the significant points during non-isothermal cure reactions The most appropriate property for this determination is the ionic conductivity in relation to the temperature changes which are either imposed by the process control environment or are created from the exothermic nature of the process. Neural Networks have been pre-trained using appropriate deviations around the nominal values of the material properties and can provide fast and accurate the exact material properties of the current batch. The suitability of the technique for process control of the cure is discussed together and the application of the dielectric cure monitoring method to a closed mould liquid composite moulding (RTM) using E-glass fibre reinforced polyester matrix.	en
heal.journalName	International SAMPE Symposium and Exhibition (Proceedings)	en
dc.identifier.volume	48 I	en
dc.identifier.spage	353	en
dc.identifier.epage	366	en