Ciencias Exactas y Ciencias de la Salud

Fused Deposition Modeling (FDM) is one of the most employed Additive Manufacturing techniques used for manufacturing diverse applications in the industry, from prototyping and experimentation to biomedical devices. The printing process of this 3D printing technology is commonly affected by structural defects, such as dimensional and geometrical accuracy and warping of edges. These defects impact the manufacture of printed samples as a waste of material, profits, and time. With the adequate combination of printing parameters, defects can be reduced or eliminated, specifically the dimensional accuracy of printed parts. In this research, a manufacturing quality control technique is proposed, making a statistical analysis through a more specifical and accurate method such as Six Sigma, which is used in the industry for quality control on production. For the statistical analysis, the capability of the process is employed, obtaining values in terms of Sigma Levels. In addition, a Design of Experiments was used to find the adequate parameter arrangement to develop the samples with the best quality in terms of four dimensions: Outer Length, Diameter, Inner Length, and Thickness. As the studied defect, the error percentage is calculated by measuring and comparing the actual dimensions to the dimensions from the 3D drawing. The samples were measured using a Coordinate Measuring Machine (CMM) to obtain accurate results. Finally, the comparison between the parameters of normal quality at the programming phase and the parameters chosen from the design of experiments was made, demonstrating the recommended parameter arrangement for each kind of dimension using the Sigma Level as a reference for improvement.

Ciencias Exactas y Ciencias de la Salud

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