Application of fuzzy Taguchi method to improve the dimensional accuracy of Fused Deposition Modeling processed product

Advanced manufacturing technology (AMT) is a backbone for developing the economics at the small and medium enterprises (SME). In particular, the fused deposition modeling (FMD) is one of advanced applications has been paid attention to invest for the modern manufacturing technology. FDM is a typical additive manufacturing method in rapid prototyping technology. It can make complex parts or products in short time with less human support. The accuracy of parts has been manufactured by FDM method significantly influenced by various process parameters. So, our purpose is to optimize the process parameters using fuzzy Taguchi with the aim of improving the accuracy of the products. A material used in this research is Polylactic Acid (PLA). The parameters utilized such as thickness, the printing speed, type of building style, and filling density, are selected for design of experiments. The achieved results highlighted that the fuzzy Taguchi method is the potential to select optimal parameters for accuracy improvement.