Optimization of the infusion process using adaptive control coupled with genetic algorithm in resin transfer molding

Abstract

To account for the irregularities in the filling pattern during Resin Transfer Molding (RTM), adaptive control can be used to regulate the filling pattern such that the last point to fill coincides with the preset exit vent location to avoid dry spot formation. In this work, Genetic Algorithm (GA) was selected as a robust search method to optimize the location of the gates and the sensors. Results obtained show that GA was able to use less than 5% of all possible arrangements to find the optimal solutions. In addition, the solutions found by GA were always in the top 0.4% of all possible combinations. These results could provide useful information for optimum arrangements and they could lead to more efficient and intelligent processing