Abstract
The aim of the paper is to discuss the possibility of applying a genetic algorithm (GA) in conjunction with the finite-volume (FV) FLUENT package to the optimisation of the reactive injection moulding (RIM) technological process. Firstly, the fundamental flow, heat, mass, and rheokinetic relations are examined, and the possibility of numerically simulating this class of problems is examined, with a view to optimising the parameters governing the progress of the process. Then, the optimisation objective is formulated, taking into account both the total curing time of the RIM process and the set of control parameters, called the degree of cure, that is used as a measure of the effectiveness of the technological process. From among the various parameters characterising the process, the temperatures of the heat sources (electric heaters placed around the mould) are chosen as the design variables (in discretised form). A 2-D planar problem is solved to illustrate the effectiveness of the proposed method.
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