COMPARATIVE ANALYSIS OF STRENGTH PROPERTIES IN 3D-PRINTED PLA AND ABS STRUCTURES USING DNN-WOA PREDICTION MODEL

In the realm of additive manufacturing, the quality and mechanical performance of 3D-printed structures are heavily influenced by the parametric settings used during the printing process. Some of these conditions include layer thickness, printing speed, infill density, filling pattern, printing substance, and so on. This research investigates the effect of printing factors on the strength characteristics of 3D-printed acrylonitrile butadiene styrene (ABS) as well as polylactic acid (PLA) structures. The parameters considered for the proposed study include material type, infill direction, infill density, and infill pattern. These four conditions are optimized using the machine-learning algorithm to obtain maximum strength in the resulting structures. The breaking load, extension, tensile strain, and tensile strength are the strength factors determined by the experiments. Furthermore, a deep neural network integrated with a walrus optimization algorithm (DNN-WOA)-based hybrid machine learning method is used in the experimental data to discover the optimal parametric conditions for constructing the structures with maximum strength. Based on the findings, infill density is a significant component in increasing both the tensile strength and elastic modulus of printed samples. Line and triangular-type infill patterns exerted the range of tensile strength with 10–20 MPa of deviations. In terms of tensile strain, the line pattern produced significantly more tensile strain than the triangle pattern. The highest breaking stress is observed at a [Formula: see text] raster angle, regardless of infill density. When compared to the strengths of ABS and PLA, the PLA with a triangle infill pattern outperformed the ABS structure printed with a line-type infill pattern. The optimum printing settings for a PLA structure with a line-type infill pattern are [Formula: see text] and 25% for raster angle and infill density, respectively. This parameter resulted in enhanced strength performance, with 45.81[Formula: see text]MPa of tensile strength, 12.13% of tensile strain, 359.34[Formula: see text]kgf of breaking load, 7.21[Formula: see text]mm of extension, and 24.12[Formula: see text]min of printing time.