A novel method for the prediction of adhesive strength for two-component injection molding of thermoplastics with thermoset rubbers

Six, Wim; Bex, G.; Keyzer, Jozefien De; Desplentere, Frederik; Bael, Albert Van

doi:10.1063/1.5084864

Cited by 1 publication

(1 citation statement)

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“…The adhesion and strength at the interface between the two components obtained by the over-moulding injection process is a significant factor in choosing material combinations for manufacturing two-component materials. The simulation of adhesion in the case of a tube with a rubber ring has been reported by to predict the adhesion performance of a two-component material [43].…”

Section: Numerical Simulations and Discussionmentioning

confidence: 99%

Experimental and numerical investigations of bi-injection moulding of PA66/LSR peel test specimens

2020

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Bi-injection moulding is a widely used process to manufacture engineering products and consumer goods. Typically, a thermoplastic is combined with rubber or another thermoplastic to create colour differences or hard and soft areas, respectively. The aim of this study was to optimise the injection parameters and processing conditions for the moulding of twocomponent standard peel test specimens with suitable functional properties. In this work, all parameters of thermo-rheo-kinetic behaviour were identified to predict the entire filling stage and the effect of a liquid silicone rubber cross-linking reaction during the injection moulding process. The models of Carreau-Yasuda and Isayev-Deng regarding the thermal dependence assumed by Arrhenius' law were used. In our study, over-injection moulding is simulated and examined using finite element software (Cadmould 3D) to investigate the thermo-rheo-kinetic behaviour and the adhesion of liquid silicone rubber during the filling mould process in over-moulding. Numerical simulation results were then compared with the experimental results, and good agreement was obtained.

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Section: Numerical Simulations and Discussionmentioning

confidence: 99%