The Analysis of Design Feature with Vibration Signal Feature on 3D Printing Machine

The manufacture of product prototypes using 3D Printing Machine in the post-pandemic period has become very attractive to industry. The additive manufacturing process of the 3D Print machine performs filament filling based on a layer-by-layer motion. Accuracy design features the shape of the product is determined from the machining parameters do and affect to the maintenance process, product quality, production time and cost of production. The main objective of this study is to obtain the correlation of the filling motion based on the design features with the characteristics of the vibration features. The charging process at 5 additive manufacturing product operations is performed on the product operation Diagonal 13, Diagonal 24, Horizontal, Vertical, and Cylindrical, which in turn is correlated with the characteristics of the vibration signal based-on the time domain and the frequency domain. The experiment of 3 products or specimens is carried out per design feature with a charging process time range of 250–350 s, and with a sampling rate of 25,600 samples per second. Each product is filled in based on 5 main movements, namely Skirt, Wall-Outer, Wall-Inner, Skin, and Infill movements. The results of this study, the filling motion of each layer category in the 5 main movements can be correlated with signal processing methods (RMS, Crest Factor, and Kurtosis) vibration features.