Estimation of a stochastic spatio-temporal model of the flow-front dynamics with varying parameters

Research output: Research - peer-reviewConference article – Annual report year: 2018

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For control and monitoring purposes, knowledge of the current state of the flow-front in a vacuum assisted resin transfer moulding (VARTM) process is essential. The permeability of the medium and viscosity of the epoxy can change during the infusion process. Especially for online monitoring of the infusion process there is a need for a fast and fairly accurate, possibly virtual sensor system which can handle such parameter variations. Stochastic-differential equations (SDEs) based estimation of the flow-front dynamics can offer a good trade-off between physics and data-driven estimators. In this paper, we analyze the effect of parameter variations on an SDE based spatio-temporal estimator of the flow-front dynamics in a VARTM process.
Original languageEnglish
Article number020098
JournalAip Conference Proceedings
Volume1981
Issue number1
Number of pages5
ISSN0094-243X
DOIs
StatePublished - 2018
Event9th International Conference on “Times of Polymers and Composites - Hotel Continental Terme , ISCHIA , Italy
Duration: 17 Jun 201821 Jun 2018

Conference

Conference9th International Conference on “Times of Polymers and Composites
LocationHotel Continental Terme
CountryItaly
CityISCHIA
Period17/06/201821/06/2018
CitationsWeb of Science® Times Cited: No match on DOI

    Research areas

  • Partial differential equations, Stochastic differential equations, Varying parameters, Parameter estimation
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