Impregnation behaviour of regenerated cellulose fabric Elium® composite : Experiment, simulation and analytical solution
Autor: | Brina J. Blinzler, Roland Kádár, Pooria Khalili, Mikael Skrifvars |
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Jazyk: | angličtina |
Rok vydání: | 2021 |
Předmět: |
lcsh:TN1-997
Bio-based fiber composite processing Regenerated cellulose Composite number 02 engineering and technology Production parameters 01 natural sciences Pulps Process optimization Composite material Accurate prediction Resource recovery Construction 010302 applied physics Metals and Alloys Pulp-based fabric 021001 nanoscience & nanotechnology Surfaces Coatings and Films Reinforcement Resin infusion process Fabrication parameters Processing capability Volume fraction Resin transfer molding 0210 nano-technology Resins Laminated composites Optimization Fabrication Materials science Kompositmaterial och -teknik Processing Computer Programs Biomaterials 0103 physical sciences Scaling lcsh:Mining engineering. Metallurgy Composite Science and Engineering Commercial software Filling Thermoplastic resin Volume Computer aided software engineering Production Rayon fabrics Fibre volume fraction Ceramics and Composites Forecasting |
Zdroj: | Journal of Materials Research and Technology, Vol 10, Iss, Pp 66-73 (2021) |
Popis: | 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. |
Databáze: | OpenAIRE |
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