A new approach of response surface-based goal programming model for additive manufacturing optimization in the biomedical field

This article presents an experimental investigation of the additive manufacturing (AM) process of biodegradable interference screws for biomedical applications. This study aims to obtain a multi-objective optimization model and a set of optimized printing parameters in manufacturing biodegradable interference screws. The mathematical model was derived from the response surface methodology (RSM) model and then developed into a goal programming (GP)-based optimization model. The results of optimum process parameters are a nozzle temperature of 220 °C, a printing speed of 77.08 mm/s, and an infill density of 87.62%. The optimum combination predicted a deviation of length of 0.32%, deviation of head diameter of 1.83%, density of 1.15 g/cm3, torsion of 506.33 N.mm, and degradation rate of 0.45%. A confirmation experiment was to confirm the optimum combination of process parameters GP had predicted. A confirmation experiment shows a deviation of length of 0.28%, deviation of head diameter of 1.72%, density of 1.20 g/cm3, torsion of 506.33 N.mm, and degradation rate of 0.345%. According to the T-test, the p-value was higher than 0.05. Therefore, there is no significant difference between the data from the confirmation experiment and the predicted response values, so the GP model can accurately predict the value of responses.