Abstract
Fused deposition modelling (FDM) is the most commonly used of additive technology process for producing polymer products from simple to complex shapes. This study focuses on the FDM process parameters optimization to obtain the optimal combination parameters that achieves the maximal flexural strength and the maximal compressive strength. The experiment was conducted by FDM process for printing Polylactic Acid (PLA) parts. Data from Taguchi experimental design were analysed with Grey Relational Analysis. Layer thickness, printing temperature and raster angle are the parameters used for experimentation. It was found that a layer thickness of 0,1 mm, a raster angle of 90°and a printing temperature of 220 ℃ present the optimal combination of parameters by using multi-response optimization method.ANOVA was used to determine the most significant parameters at 95% confidence level.
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Muhamedagic, K., Cekic, A., Begic-Hajdarevic, D., Ramljak, A. (2023). Multi-response Optimization of FDM Process Parameters Using Taguchi Based Grey Relational Analysis Method. In: Karabegovic, I., Kovačević, A., Mandzuka, S. (eds) New Technologies, Development and Application VI. NT 2023. Lecture Notes in Networks and Systems, vol 687. Springer, Cham. https://doi.org/10.1007/978-3-031-31066-9_25
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DOI: https://doi.org/10.1007/978-3-031-31066-9_25
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