Impregnation behaviour of regenerated cellulose fabric Elium® composite: Experiment, simulation and analytical solution
Journal article, 2021

Filling time and volume fill prediction of long and complex parts produced using the method of resin infusion is of prominent importance. Fibre volume fraction, reinforcement type and composite laminate thickness significantly affect the manufacturing behaviour. It is crucial to have an estimate of fabrication parameters such as filling time. The PAM-RTM (resin transfer moulding) commercial software package makes it possible to characterize the production parameters in connection with lab scale experiments. In this work, simulation tools demonstrate an accurate prediction of the resin infusion process of pulp-based fabrics and characterization of the dynamic phenomena are verified using the analytical solution for a simple part. The accurate prediction for fabrication of pulp-based fabric Elium® composite demonstrated here can be beneficial for scaling up the composite part size and production speed. The filling time was accurately predicted until 270 s for the volume fill of 10–100% using the software tool and analytical solution. This proves the rayon fabric processing capabilities as a reinforcement for industry related projects and opens for the possibility of infusion process optimization.

Pulp-based fabric

Thermoplastic resin

Bio-based fiber composite processing

Author

Pooria Khalili

University of Borås

Chalmers, Industrial and Materials Science, Material and Computational Mechanics

Roland Kádár

Chalmers, Industrial and Materials Science, Engineering Materials

Mikael Skrifvars

University of Borås

Brina Blinzler

Chalmers, Industrial and Materials Science, Material and Computational Mechanics

Journal of Materials Research and Technology

2238-7854 (eISSN)

Vol. 10 66-73

Subject Categories

Applied Mechanics

Textile, Rubber and Polymeric Materials

Composite Science and Engineering

Areas of Advance

Materials Science

DOI

10.1016/j.jmrt.2020.12.024

More information

Latest update

3/12/2021