Modeling the Heat Transport in Semifinished Composite Parts with Thermoplastic Matrix

Aktivität: Gespräch oder VortragVortrag

Beschreibung

Composites with thermoplastic matrices are gaining increasing significance in the automotive and aviation industry. Due to increasing recycling requirements, duromeric matrices are regularly replaced by thermoplastics. Especially the above-mentioned industries are constantly searching for substitutes for metallic materials and often find the required mechanical properties and the outstanding processability in the form of thermoplastic composites. The parts are commonly manufactured by forming them from semi-finished sheets. For that reason, the sheets need to be heated, to plasticize the thermoplastic matrix and make the material formable. Heating can be achieved with various methods, most of which provide the heat solely to the surface of the semi-finished parts. In order to make products with adequate optical and mechanical properties, a uniform temperature distribution on the sheets’ surfaces and through the thickness is required, making heat conductivity even more important. Many attempts were made to model the heat conduction behavior of fiber-reinforced composites. The key challenge is the anisotropic behavior leading to diverging heat conductivity values in different directions of space. Experimental methods can only deliver mixed heat conductivities, which is why modeling is needed for a complete understanding of these phenomena. This work deals with the development of models for the heat conductivity of woven fabrics embedded in a thermoplastic matrix system, considering the dependency on different directions of space. Furthermore, the attempt of validating the obtained models with experimental data where twill-woven glass-fiber reinforced PA 6.6 was heated via infrared radiation was made.
Zeitraum29 Mai 2019
EreignistitelPolymer Processing Society (PPS35), 2019 Izmir, International Conference
VeranstaltungstypKonferenz
OrtIzmir, Turkey, ÖsterreichAuf Karte anzeigen