Impregnation behaviour of regenerated cellulose fabric Elium® composite: Experiment, simulation and analytical solution
2021 (English)In: Journal of Materials Research and Technology, ISSN 2238-7854, E-ISSN 2214-0697, Vol. 10, p. 66-73Article in journal (Refereed) Published
Sustainable development
According to the author(s), the content of this publication falls within the area of sustainable development.
Abstract [en]
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.
Place, publisher, year, edition, pages
Elsevier Editora Ltda , 2021. Vol. 10, p. 66-73
Keywords [en]
Bio-based fiber composite processing, Pulp-based fabric, Thermoplastic resin, Computer aided software engineering, Filling, Forecasting, Laminated composites, Optimization, Rayon fabrics, Resin transfer molding, Resins, Accurate prediction, Commercial software, Fabrication parameters, Fibre volume fraction, Processing capability, Production parameters, Regenerated cellulose, Resin infusion process, Reinforcement, Computer Programs, Construction, Processing, Production, Pulps, Volume
National Category
Composite Science and Engineering
Research subject
Resource Recovery
Identifiers
URN: urn:nbn:se:hb:diva-26012DOI: 10.1016/j.jmrt.2020.12.024ISI: 000621114200006Scopus ID: 2-s2.0-85100773633OAI: oai:DiVA.org:hb-26012DiVA, id: diva2:1579161
Funder
ÅForsk (Ångpanneföreningen's Foundation for Research and Development), 20-4122021-07-082021-07-082024-09-02