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Following the trend of growing fiber composite materials usage, process automation and increasing component complexity, there arises a need for process simulation. The work presented here addresses a fast and robust characterization method of permeability for RTM process modeling. A simulation approach is presented based on fabric images, image processing and textile modeling. For validation of the simulation approach a two-step validation approach was followed. At first, a test setup for permeability testing was developed and put into service. A test campaign focusing on non-crimp fabrics (NCF) gave the permeability results for comparison of material data. In a second step the simulation approach was employed to predict the fill time and flow front pattern of a complex component. The permeability results from experiments and the simulation approach showed excellent correlation for two biaxial non-crimp fabrics. For the fill time prediction of the RTM component, the simulation approach gave the best results and the flow front pattern could be predicted reasonably well.
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A simulation approach of permeability prediction for RTM process simulation, Christoph Hahn
- Sprache
- Erscheinungsdatum
- 2015
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- Titel
- A simulation approach of permeability prediction for RTM process simulation
- Sprache
- Englisch
- Autor*innen
- Christoph Hahn
- Verlag
- Verl. Dr. Hut
- Erscheinungsdatum
- 2015
- ISBN10
- 3843919690
- ISBN13
- 9783843919692
- Reihe
- Lehrstuhl für Carbon Composites, Fakultät für Maschinenwesen, Technische Universität München
- Kategorie
- Skripten & Universitätslehrbücher
- Beschreibung
- Following the trend of growing fiber composite materials usage, process automation and increasing component complexity, there arises a need for process simulation. The work presented here addresses a fast and robust characterization method of permeability for RTM process modeling. A simulation approach is presented based on fabric images, image processing and textile modeling. For validation of the simulation approach a two-step validation approach was followed. At first, a test setup for permeability testing was developed and put into service. A test campaign focusing on non-crimp fabrics (NCF) gave the permeability results for comparison of material data. In a second step the simulation approach was employed to predict the fill time and flow front pattern of a complex component. The permeability results from experiments and the simulation approach showed excellent correlation for two biaxial non-crimp fabrics. For the fill time prediction of the RTM component, the simulation approach gave the best results and the flow front pattern could be predicted reasonably well.