Abstract

Additive manufacturing (AM) is around three-decade-old technology and enables quick transition from concept to physical models in a matter of hours. Fused deposition modelling (FDM) is a promising and robust AM technique with proven ability to build prototypes of complex and intricate shapes using reasonable time and cost. Optimisation of FDM process requires optimisation of various qualitative and quantitative responses. This work presents multi-objective FDM optimisation using RSM embedded fuzzy logic analysis. Six process parameters and two responses are considered for the current experimentation on Fortus 250mc modeller based on FDM technology.

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