Desirability function analysis approach for optimization of fused deposition modelling process parameters

Abstract

Abstract This study uses desirability function analysis to optimize the process parameters namely layer thickness, fill pattern, fill density, and build orientation for fused deposition modelling on polyethylene terephthalate glycol material. The Taguchi-desirability function analysis is one of the optimization techniques for the multi-objective decision-making process. Taguchi L9 orthogonal array is employed in the test trials during the fused deposition modelling process. The output responses measured are dimension error, ductility, and tensile strength. The goal of process parameter optimization is to attain the best of the trials for minimal dimension error and maximum tensile strength and ductility. The best feasible amalgamation of input variables is discovered for the investigated and assessed response features utilizing desirability function analysis. As per the results obtained from experiments, it is concluded that the optimal combination of parameters is layer thickness of 0.1 mm, build orientation of 0°, fill density of 90 % and hexa fill pattern. By following this combination, the error in the dimensions was slightly increased which needed to be reduced, but both tensile strength and ductility were increased which are more desirable characteristics.