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Three-dimensional printers (3DP), which are often heard with additive manufacturing, are widely used in part production. Sensitive and custom-made products in different designs can be produced more easily and quickly, but waste specimen formed after the failed three-dimensional (3D) prints cause waste and environmental pollution from the expensive filament material. It is thought that such problems can be prevented by minimizing the waste when the scrap materials generated as a result of each production are recovered. This study investigated the benefits of recycling all possible waste filament specimens, including the supports removed from the part after the defective products or supported production, by granulating and reusing in the production of new parts in the next 3D production process. Mechanical differences between the 3D specimens produced with virgin filaments to be printed with recycled filaments are investigated and it has been determined that most of the countries cause environmental pollution due to the waste of materials including additive manufacturing and 3DP processes. The use of the filament material, which takes a long time to procure from abroad and is mainly procured externally, will be increased from one time to twice or thrice, thus facilitating the availability and preventing environmental pollution.

One of the most widely used 3D printing techniques is fused deposition modeling (FDM) which builds things layer by layer by dispensing molten materials through a heated nozzle. To showcase the flexibility of 3D printing, test samples were made using polylactic acid (PLA). Trial runs with Taguchi’s (L27) orthogonal array were performed. Layer thickness, printing speed, and carbon deposition (C-deposition) were the three input parameters that were improved. This was accomplished by combining principal component analysis (PCA) with multi-objective optimization based on ratio analysis (MOORA) in an integrated approach to multi-criteria optimization. The main goal of this study is to maximize the input parameters for the Industry 4.0 technological production process of embossing components. The MOORA-PCA technique finds the best combinations of process variables; for example, printing at a speed of 75mm/s, layer thickness of 0.1mm, and carbon content of 15mg yield the required results. The results of this study will help production managers and researchers choose the best FDM 3D printing methods for improving mechanical qualities and surface roughness. The economic feasibility of the 3D printing businesses may be strengthened by these research findings, which will benefit customers looking for ecologically friendly items.