Model-based parameter optimization of a fused deposition modelling process

The aim of this research was to develop mathematical models of a fused deposition modelling process by two different approaches. These models were used to predict the process behavior, to derive optimal process parameters and also to compare these different modelling approaches in terms of model quality. Four subordinate targets were defined. For each, two different modelling approaches were applied. First, black box models were established using design of experiments (DoE). Second, white box models were derived from a theoretical analysis of the process. Afterwards, three different parameter optimizations were applied for the considered fused deposition modelling system to evaluate and compare the prediction accuracy of the models.