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

doi:10.1016/j.ifacol.2018.09.175

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

Siemens Gamesa Renewable Energy

Research output: Contribution to journal › Journal article › Research › peer-review

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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 language	English
Book series	I F A C Workshop Series
Volume	51
Issue number	15
Pages (from-to)	383-388
ISSN	1474-6670
DOIs	https://doi.org/10.1016/j.ifacol.2018.09.175
Publication status	Published - 1 Jan 2018
Event	18th IFAC Symposium on System Identification - AlbaNova University Center, Stockholm, Sweden Duration: 9 Jul 2018 → 11 Jul 2018 Conference number: 18

Conference

Conference	18th IFAC Symposium on System Identification
Number	18
Location	AlbaNova University Center
Country/Territory	Sweden
City	Stockholm
Period	09/07/2018 → 11/07/2018

Keywords

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

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

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.",

keywords = "Extended Kalman filter, Grey-box models, Maximum Likelihood, Partial differential equations, Stochastic differential equations, Wind turbines",

author = "Michael Nauheimer and Rishi Relan and Thygesen, \{Uffe H{\o}gsbro\} and Henrik Madsen and Bendt Olesen and Klaus Kirkeby",

year = "2018",

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doi = "10.1016/j.ifacol.2018.09.175",

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journal = "I F A C Workshop Series",

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T1 - A Stochastic Spatio-Temporal Model of the Flow-Front Dynamics in a Vacuum Assisted Resin Transfer Moulding Process

AU - Nauheimer, Michael

AU - Relan, Rishi

AU - Thygesen, Uffe Høgsbro

AU - Madsen, Henrik

AU - Olesen, Bendt

AU - Kirkeby, Klaus

N1 - Conference code: 18

PY - 2018/1/1

Y1 - 2018/1/1

N2 - 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.

AB - 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.

KW - Extended Kalman filter

KW - Grey-box models

KW - Maximum Likelihood

KW - Partial differential equations

KW - Stochastic differential equations

KW - Wind turbines

U2 - 10.1016/j.ifacol.2018.09.175

DO - 10.1016/j.ifacol.2018.09.175

M3 - Journal article

AN - SCOPUS:85054387759

SN - 1474-6670

VL - 51

SP - 383

EP - 388

JO - I F A C Workshop Series

JF - I F A C Workshop Series

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ER -

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

Abstract

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Keywords

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