OPTIMIZATION OF FUSED DEPOSITION MODELING PROCESS PARAMETERS TO ENHANCE MECHANICAL PROPERTIES

ABSTRACT: Fused Deposition Modeling is a 3D printing technique that produces 3D objects by extruding melted plastic through a nozzle, layer by layer. This technology has the potential to transform manufacturing processes, offering improved efficiency, greater design flexibility, and reduced material waste. The Fused Deposition Modeling process is widely used in engineering, medical, and functional validation products. This research focuses on developing a mathematical model to predict the compression strength of Fused Deposition Modeling-printed Polylactic acid samples and to determine optimal printing parameters with high accuracy. Taguchi-L9 and a quadratic mathematical model are used to predict compression strength values. Three printing variables with three levels were considered during specimen preparation: layer thickness, raster width, and infill density. The results identified the best variables that gave the maximum compression strength, which equals 60.5 MPa at an infill density of 100%, a raster width of 0.4 mm, and a layer thickness of 0.15 mm. Meanwhile, the percentage error between practical and predicted values using the quadratic mathematical model was 2.016%.