A stochastic approach to model material variation determining tow impregnation in out-of-autoclave prepreg consolidation

R. Helmus; R. Hinterhölzl; P. Hubert

doi:10.1016/j.compositesa.2015.03.021

A stochastic approach to model material variation determining tow impregnation in out-of-autoclave prepreg consolidation

R. Helmus, R. Hinterhölzl, P. Hubert

Research output: Contribution to journal › Article › peer-review

16 Citations (Scopus)

Abstract

Abstract Material variations are always present even though out-of-autoclave prepregs are machine-made. They strongly determine the consolidation and may eventually lead to voids within the final part, depending on applied process conditions. To capture any contingencies, stochastic differential equations are derived to describe various interacting phenomena in OoA consolidation. In a second step the probabilistic space is discretized using the Karhunen-Loève truncation and the Probabilistic Collocation method is applied in order to use deterministic solvers for flow and compaction problems. The initial degree of impregnation is represented by an Ornstein-Uhlenbeck process and calibrated with CT-images.

Original language	English
Article number	3892
Pages (from-to)	293-300
Number of pages	8
Journal	Composites Part A: Applied Science and Manufacturing
Volume	77
DOIs	https://doi.org/10.1016/j.compositesa.2015.03.021
Publication status	Published - 1 Sept 2015
Externally published	Yes

Keywords

C. Computational modelling
C. Statistical properties/methods
E. Consolidation
E. Prepreg

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10.1016/j.compositesa.2015.03.021

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title = "A stochastic approach to model material variation determining tow impregnation in out-of-autoclave prepreg consolidation",

abstract = "Abstract Material variations are always present even though out-of-autoclave prepregs are machine-made. They strongly determine the consolidation and may eventually lead to voids within the final part, depending on applied process conditions. To capture any contingencies, stochastic differential equations are derived to describe various interacting phenomena in OoA consolidation. In a second step the probabilistic space is discretized using the Karhunen-Lo{\`e}ve truncation and the Probabilistic Collocation method is applied in order to use deterministic solvers for flow and compaction problems. The initial degree of impregnation is represented by an Ornstein-Uhlenbeck process and calibrated with CT-images.",

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AU - Helmus, R.

AU - Hinterhölzl, R.

AU - Hubert, P.

PY - 2015/9/1

Y1 - 2015/9/1

N2 - Abstract Material variations are always present even though out-of-autoclave prepregs are machine-made. They strongly determine the consolidation and may eventually lead to voids within the final part, depending on applied process conditions. To capture any contingencies, stochastic differential equations are derived to describe various interacting phenomena in OoA consolidation. In a second step the probabilistic space is discretized using the Karhunen-Loève truncation and the Probabilistic Collocation method is applied in order to use deterministic solvers for flow and compaction problems. The initial degree of impregnation is represented by an Ornstein-Uhlenbeck process and calibrated with CT-images.

AB - Abstract Material variations are always present even though out-of-autoclave prepregs are machine-made. They strongly determine the consolidation and may eventually lead to voids within the final part, depending on applied process conditions. To capture any contingencies, stochastic differential equations are derived to describe various interacting phenomena in OoA consolidation. In a second step the probabilistic space is discretized using the Karhunen-Loève truncation and the Probabilistic Collocation method is applied in order to use deterministic solvers for flow and compaction problems. The initial degree of impregnation is represented by an Ornstein-Uhlenbeck process and calibrated with CT-images.

KW - C. Computational modelling

KW - C. Statistical properties/methods

KW - E. Consolidation

KW - E. Prepreg

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M3 - Article

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JO - Composites Part A: Applied Science and Manufacturing

JF - Composites Part A: Applied Science and Manufacturing

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ER -

A stochastic approach to model material variation determining tow impregnation in out-of-autoclave prepreg consolidation

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Keywords

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