Algoritmo de visão computacional para monitoramento dimensional e análise da qualidade em peças fabricadas por manufatura aditiva robotizada

Abstract

The increasing complexity of products has necessitated the development of new production techniques, such as additive manufacturing (3D printing). This work developed a computer vision algorithm to monitor the dimensions and straightness of parts throughout the robotic additive manufacturing process. The system used advanced image processing techniques to identify geometric non conformities, ensuring high precision and quality in the produced parts. The research implemented a robotic additive manufacturing cell (CMAR) that operated with ABS polymer. The algorithm was rigorously tested and successfully validated. The results showed that the system was effective in detecting dimensional and geometric faults, contributing to the integrity of the printed parts. Furthermore, automated monitoring offered significant benefits, including cost reduction due to less material waste, improved final product quality, and the promotion of more sustainable manufacturing practices.