Optimizing process parameters to improve the compressive strength of FDM products (Fused Deposition Modeling)

Abstract

Nowadays, 3D Printing Technology, also known as AM - Additive Manufacturing plays an important role in the 4.0 industrial revolution. In 3D printing technologies, FDM (Fused Deposition Modeling) technology is the most popular technology. In general, the quality of AM products and FDM depend on the process parameters. The article addressed the issue of optimizing process parameters to improve the compressive strength of the product. The parameters are considered as the fill pattern, fill density, number of contours, layer thickness and raster angle. The experimental design based on the Taguchi method is employed to identify the optimum process parameters. In addition, ANOVA is also utilized to evaluate the effect of each parameter on the compressive strength of the product.