ALENCAR, David Barbosa de2025-02-242025DIAS, J. O.; VIEIRA JUNIOR, M.; LEITE, J. C.; FERREIRA, G. R. M. Sinergia entre Modelagem 3D e Redes Neurais Artificiais na Otimização da Manufatura Aditiva no Contexto da Indústria 4.0. Revista Aracê, São José dos Pinhais, v. 6, n. 4, p. 16127-16153, 2024. DOI: 10.56238/arev6n4-297.https://doi.org/10.56238/arev6n4-297https://rigalileo.itegam.org.br/handle/123456789/479Additive manufacturing (AM), widely known as 3D printing, emerges as one of the key technologies of Industry 4.0, enabling the production of parts with high geometric complexity and customization. This study investigates how the integration between 3D modeling and Artificial Neural Networks (ANNs) enhances the efficiency and quality of AM processes. 3D modeling supports detailed simulations of material behavior and manufacturing processes, while ANNs provide predictive analysis and learning from large data volumes, allowing automatic and dynamic adjustments to parameters such as speed, temperature, and fill patterns. The results show significant improvements in reliability, waste reduction, and energy consumption, aligning production with sustainability demands.pdf.Modelagem 3DRedes Neurais Artificiais (RNA)Otimização de ProcessosManufatura AditivaIndústria 4.0Sinergia entre Modelagem 3D e Redes Neurais Artificiais na Otimização da Manufatura Aditiva no Contexto da Indústria 4.0Capítulo de LivroEngenharia de Produção