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Casting Design through Multi-objective Optimization

The gating and riser system design plays an important role in the quality and cost of a metal casting. Due to the lack of fixed theoretical procedures to follow, the design process is carried out on a trial-and-error basis. The casting design optimization problem is characterized by multiple design variables, conflicting objectives and a complex search space, making it unsuitable for sensitivity based optimization. In this study, a formal optimization method using Multi-Objective Evolutionary Algorithm (MOEA) was developed to overcome such complexities. A framework for integrating the optimization procedure with numerical simulation for the design evaluation is presented. The proposed optimization framework was applied to the gating and riser system of a sand casting and the results were compared to a popular Design-of- Experiment (DOE) method. It showed that the MOEA method gave better results and provided more flexibility in decision making.