A Hybrid Response Surface Methodology and Simulated Annealing Algorithm: A Case Study on the Optimization of Shrinkage and Warpage of a Fuel Filter

In this study, a systematic methodology based on the response surface methodology is coupled with an effective SA algorithm to find the optimum process parameter values. Due to the complexity of injection molding, numerous mathematical models have been proposed and extensively developed. Efficient minimization of shrinkage and warpage on the fuel filter in the injection molding process by response surface methodology and simulated annealing algorithm is investigated. Process parameters such as mold temperature, melt temperature, injection pressure are considered as model variables. The response surface model is interfaced with an effective SA algorithm to find the optimum process parameter values.

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