Optimization of the infusion process using adaptive control coupled with genetic algorithm in resin transfer molding
Kashani, Pooria Sharif
Rodriguez, Alejandro J.
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Kashani, Pooria, Rodriguez, Alejandro,& Minaie, Bob. (2007). Optimization of the infusion process using adaptive control coupled with genetic algorithm in resin transfer molding. In Proceedings : 3rd Annual Symposium : Graduate Research and Scholarly Projects. Wichita, KS : Wichita State University, p.19-20.
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
Paper presented to the 3rd Annual Symposium on Graduate Research and Scholarly Projects (GRASP) held at the Hughes Metropolitan Complex, Wichita State University, April 27, 2007.
Research completed at the Department of Mechanical Engineering, College of Engineering