Experimental and simulative investigation of 2C injection molding of thermoplastics with low HDT and LSR using dynamic temperature control.

Autor: Nikousaleh, Mohammad Ali, Hartung, Michael, Giesen, Ralf-Urs, Heim, Hans-Peter
Předmět:
Zdroj: AIP Conference Proceedings; 2024, Vol. 3012 Issue 1, p1-11, 11p
Abstrakt: Most injection-molded thermoplastic/LSR composite parts are made of PBT or PA as hard components. This is due to the high heat deflection temperature of these materials. These hard components are usually inserted into the LSR cavity, which is heated to over 140°C to cure the LSR, during the overmolding process. Accordingly, the thermoplastic's heat deflection temperature must be higher than the selected mold temperature for LSR to ensure that the thermoplastic does not soften and deform. Medical technology usually relies on standard thermoplastics like ABS or PE because of the material price. It is especially expensive when the assembly is needed when adding silicone components to functional elements such as valves. The dynamic temperature control in the mold gives the opportunity to use standard thermoplastic in two shot injection molding. This technology allows, switching the mold temperature back and forth in a few seconds (for example, 80°C and 180°C). As a result, LSR can be vulcanized and thermoplastics can be safely de-molded. For this process, one of the problems is heating the LSR from one side, which results in a prolongation of curing time and could even cause the non-curing of LSR in some parts. Hopefully, here simulation can show how the required temperature comes in the best way to the LSR. This study investigates the effects of different process temperatures and heating times of the curing degree and the adhesion between two components. In addition to the experimental work, the results of simulations using the virtual molding software SIGMASOFT® have been provided to determine the curing degree and the temperature of different positions of the mold. In conclusion, Process data of simulation and standard process data were evaluated and compared in experiments using the results of peeling tests according to VDI 2019. [ABSTRACT FROM AUTHOR]
Databáze: Complementary Index