A Dimensional Comparative by Computed Tomography of Path Printed Fabrication Algorithms of a Multi-Geometric Piece

Abstract

The use and advancement of manufacturing technologies related to additive manufacturing significantly increased in the final decade of the 20th century. Technology progressions have led to the creation of methods for streamlining the printing process, emphasizing cutting down on manufacturing time, including the use of Genetic Algorithms (GA). The effect produced by changing the path pattern is interesting for two reasons: a) dimensional accuracy focused on preserving the component's dimensions and b) the structural composition and strength that the printing process itself can produce. The objective of this article is to compare the effect of modifying the path (GA) versus the manufacturer algorithm (MA) of the 3d printed in two ways, one of them focused on the accuracy dimension of the geometries and the second from the structural point of view through the comparison by using Computed Tomography. Twenty-three geometrical pieces were employed in a template printed using FFF technology and PLA as the foundation material. The total process time needed to print the component was reduced by 11% due to the findings. Regarding the dimensional analysis, the average deviation produced by the GA path is less than that produced by the manufacturer's suggestion. Regarding the porosity analysis, the GA shows a more significant void percentage but less void dispersion; ironically, the porosity concentrates based on the suggested materials. These results are crucial for product conceptualization and deposition printing planning.