Related Experiment Video
Updated: Aug 19, 2025

07:21
Twin-Screw Extrusion Process to Produce Renewable Fiberboards
Published on: January 27, 2021
6.5K
RIFT Process Analysis for the Production of Green Composites in Flax Fibers and Bio-Based Epoxy Resin
Luca Sorrentino1, Sandro Turchetta1, Gianluca Parodo1
1Department of Civil and Mechanical Engineering, University of Cassino and Southern Lazio, 03043 Cassino, Italy.
Materials (Basel, Switzerland)
|November 26, 2022
Summary
This study optimized parameters for producing green laminates using flax fiber and bio-based epoxy resin via the Resin Infusion under Flexible Tool (RIFT) process. Results show the potential and limitations of these sustainable materials in composite manufacturing.
Area of Science:
- Materials Science
- Composite Materials Engineering
- Sustainable Manufacturing
Background:
- Composite materials offer lightweight and high-strength properties.
- Growing demand for sustainable alternatives to petroleum-based resins.
- Resin Infusion under Flexible Tool (RIFT) is a viable composite manufacturing process.
Purpose of the Study:
- To determine optimal process parameters for flax fiber and bio-based epoxy resin composites.
- To develop a numerical model for the RIFT process with green laminates.
- To evaluate the potential and limitations of bio-based resins in RIFT manufacturing.
Main Methods:
- Compressibility tests on flax woven fabrics under vacuum.
- Permeability tests to obtain infusion process data.
- Numerical simulation using PAM-RTM software, validated with vaseline oil.
- Comparative analysis with petroleum-based epoxy systems.
Main Results:
- Established process parameters for flax/bio-epoxy composites.
- Validated a numerical model for RIFT process simulation.
- Demonstrated the feasibility of using bio-based epoxy resins.
- Identified critical aspects and potential of bio-based resins compared to traditional ones.
Conclusions:
- Bio-based epoxy resins show significant potential for sustainable composite manufacturing via RIFT.
- Process parameter optimization is crucial for successful implementation.
- Further research is needed to overcome critical challenges in using bio-based systems.

