A 3D Simulation with a Differential Formulation of the Kinetic EquationsThe purpose of the present work is to introduce a crystallization law into Rem3D, a 3D code written in C++ and dedicated to the injection molding of polymers. We kept the basic hypotheses of Avrami's model and cast the kinetic equations into a differential system that is solved numerically. The variation of the density of potential nuclei with temperature is taken into account. Furthermore, the distribution of mean spherulite sizes can be deduced from the calculations. The second part of the paper is an experimental study of crystallization in well-controlled conditions (2D, isothermal or constant cooling-rate). It establishes a procedure for the determination of the nucleation and growth parameters used in the theoretical model, and gives a first validation of this model. Finally, the crystallization equations are introduced into Rem3D, in order to assess the feasibility of our new approach. Some typical results concerning the evolution of the transformed volume fraction in injection-molded parts are presented.

International audienceElectrical equipment for medium and high voltage is manufactured using reactive moulding process. During mould filling, air bubbles or weld-lines can appear which may be a huge problem for electrical insulation devices. Moreover, the use of thermoset materials induces delamination due to the resin's shrinkage. Product development delays can be reduced using numerical tools to simulate part forming process. In this paper, we present a three dimensional finite element analysis of the filling and curing stages of reactive moulding process. During the first stage, flow computation takes into account heat transfer and the curing reaction according to appropriate models. In the curing phase, the evolution of the degree of cure is coupled with an evolution model of the glass transition temperature. Taking in account his coupling phenomenon permits the computation of a more realistic curing kinetic and modelling of the slowdown at vitrification. The thermal field prediction is then more accurate. To validate this approach, experiments were performed. A comparison with computational results shows a good agreement in filling and temperature evolution inside the cavity

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