| People | Locations | Statistics |
|---|---|---|
| Naji, M. |
| |
| Motta, Antonella |
| |
| Aletan, Dirar |
| |
| Mohamed, Tarek |
| |
| Ertürk, Emre |
| |
| Taccardi, Nicola |
| |
| Kononenko, Denys |
| |
| Petrov, R. H. | Madrid |
|
| Alshaaer, Mazen | Brussels |
|
| Bih, L. |
| |
| Casati, R. |
| |
| Muller, Hermance |
| |
| Kočí, Jan | Prague |
|
| Šuljagić, Marija |
| |
| Kalteremidou, Kalliopi-Artemi | Brussels |
|
| Azam, Siraj |
| |
| Ospanova, Alyiya |
| |
| Blanpain, Bart |
| |
| Ali, M. A. |
| |
| Popa, V. |
| |
| Rančić, M. |
| |
| Ollier, Nadège |
| |
| Azevedo, Nuno Monteiro |
| |
| Landes, Michael |
| |
| Rignanese, Gian-Marco |
|
Feuchter, Michael
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (14/14 displayed)
- 2024Morphological structure and mechanical properties of a nucleated Polyoxymethylene (POM) homopolymer resin processed under conventional injection molding conditions
- 2024Impact Characteristics and Repair Approaches of Distinct Bio-Based Matrix Composites: A Comparative Analysiscitations
- 2024Effect of different weft-knitted structures on the mechanical performance of bio-based flexible compositescitations
- 2024Manufacturing bio-based fiber-reinforced polymer composites: Process performance in RTM and VARI processescitations
- 2023Impact of Multiple Reprocessing on Properties of Polyhydroxybutyrate and Polypropylenecitations
- 2023Tensile properties of flexible composites with knitted reinforcements from various yarn materialscitations
- 2023Investigation of the Mechanical Properties of Sandwich Composite Panels Made with Recyclates and Flax Fiber/Bio-Based Epoxy Processed by Liquid Composite Moldingcitations
- 2022Dynamic mechanical response in epoxy nanocomposites incorporating various nano-silica architectures
- 2022Towards virtually optimized curing cycles for polymeric encapsulations in microelectronicscitations
- 2022Injection Molding Simulation of Polyoxymethylene Using Crystallization Kinetics Data and Comparison with the Experimental Processcitations
- 2021Thermal and Moisture Dependent Material Characterization and Modeling of Glass Fibre Reinforced Epoxy Laminates
- 2021Prediction of Curing Induced Residual Stresses in Polymeric Encapsulation Materials for Microelectronicscitations
- 2020Exploiting the Carbon and Oxa Michael Addition Reaction for the Synthesis of Yne Monomerscitations
- 2018Influence of environmental factors like temperature and humidity on MEMS packaging materials.citations
Places of action
| Organizations | Location | People |
|---|
article
Manufacturing bio-based fiber-reinforced polymer composites: Process performance in RTM and VARI processes
Abstract
The utilization of bio-based materials for the manufacturing of fiber-reinforced polymer composites is gaining importance under the sustainability paradigm. The identification of suitable process parameters and limited process reproducibility remain among the major challenges to enhance the industrial application potential of bio-based composites. This is especially relevant, as the manufacturing process influences composite quality, economic performance and environmental impacts. This study compares Resin Transfer Molding and Vacuum Assisted Resin Infusion for two sets of process parameters in order to manufacture a composite plate consisting of a flax-fiber textile impregnated with a partially bio-based epoxy matrix. Process quality is described through statistical analysis of processing and composite properties, and performance in terms of process replicability and reliability using performance estimates. Processing parameters were selected to depict a range of manufacturing scenarios that were suitable for the selected bio-based material system from curing for 180 min at 60 °C to curing for 30 min at 100 °C. For an identical set of process conditions, Resin Transfer Molding outperforms Vacuum Assisted Resin Infusion in terms of tensile and flexural characteristics. Conversely, the latter shows the strongest fiber-matrix adhesion and the most homogeneous impregnation. Whereas manufacturing at lower temperature leads to positive effects on composite quality, higher processing temperature with shorter curing cycles achieve highest process performance in terms of Pp and Ppk indices. An additional annealing at 120 °C neither increases composite quality nor reduces manufacturing-induced variability. Results depend on processing differences and indicators to determine process performance, as well as methodological choices.