A Stochastic Spatio-Temporal Model of the Flow-Front Dynamics in a Vacuum Assisted Resin Transfer Moulding Process

Michael Nauheimer, Rishi Relan, Uffe Høgsbro Thygesen, Henrik Madsen, Bendt Olesen, Klaus Kirkeby

Research output: Contribution to journalJournal articleResearchpeer-review

236 Downloads (Pure)

Abstract

With more emphasis on the use of green energy, the size of the turbines and blades in the wind turbines is continuously increasing. With increasing blade size, the casting process becomes more complicated and the risk of faults increases. Production of such blades, made of fibre reinforced polymer composites, without the possibility of visual inspection of the infusion process calls for a sensor system (possibly virtual) for monitoring the process. Therefore, in this paper, we propose a stochastic spatio-temporal modelling approach to model the flow-front dynamics inside the vacuum assisted resin transfer moulding process, knowledge of which is essential for determining the current state of the infusion process.

Original languageEnglish
Book seriesI F A C Workshop Series
Volume51
Issue number15
Pages (from-to)383-388
ISSN1474-6670
DOIs
Publication statusPublished - 1 Jan 2018
Event18th IFAC Symposium on System Identification - AlbaNova University Center, Stockholm, Sweden
Duration: 9 Jul 201811 Jul 2018
Conference number: 18

Conference

Conference18th IFAC Symposium on System Identification
Number18
LocationAlbaNova University Center
CountrySweden
CityStockholm
Period09/07/201811/07/2018

Keywords

  • Extended Kalman filter
  • Grey-box models
  • Maximum Likelihood
  • Partial differential equations
  • Stochastic differential equations
  • Wind turbines

Cite this