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The advancement of computing power, artificial intelligence and machine learning make it possible to generate optimized geometries based on the efforts required in a project or with the objective of reducing mass. In this article, the differences in mechanical strength of a part generated by traditional 3D design, topological optimization and generative design using the Fusion 360 program were shown. The generated geometries were manufactured by 3D printing, resulting in five samples with different masses, generated with each method. These samples were compared with a traditional sample that served as a reference. The effectiveness of these methods was measured by the ratio of compressive load supported by body mass (MC). The generative design showed an improvement in the CM relation when compared to the topological optimization |
