Optimización de Procesos de Mecanizado mediante Algoritmos Avanzados en Sistemas CAM: revisión sistemática

Bryan Guillermo Guananga Rodríguez, Freddy Román Guananga Díaz

Resumen


La optimización de los procesos de mecanizado es crucial para mejorar la eficiencia y calidad en la industria manufacturera. Los sistemas CAM han evolucionado con la integración de algoritmos avanzados, optimizando parámetros críticos y mejorando las operaciones de mecanizado. Este artículo presenta una revisión sistemática de la aplicación de estos algoritmos en sistemas CAM, destacando metodologías, resultados y tendencias actuales. Se identificaron diversos algoritmos efectivos, como genéticos, optimización basada en enjambre de partículas, inteligencia artificial y algoritmos evolutivos, que mejoran el tiempo de mecanizado y la calidad superficial, aumentando la eficiencia y precisión en la producción. La integración de técnicas de inteligencia artificial permite evaluación y optimización en tiempo real, mejorando la consistencia y reduciendo la intervención humana. Sin embargo, se necesitan más pruebas empíricas en entornos industriales para validar modelos teóricos y asegurar la aplicabilidad práctica. Las recomendaciones incluyen validar empíricamente modelos teóricos en condiciones industriales, desarrollar metodologías para implementar algoritmos avanzados en sistemas CAM y explorar nuevas tecnologías emergentes como la inteligencia artificial y el aprendizaje automático. La adopción de estas tecnologías es esencial para mantener la competitividad y mejorar la calidad y eficiencia en la industria manufacturera.


Palabras clave


Optimización de procesos de mecanizado; algoritmos avanzados; sistemas CAM; inteligencia artificial; eficiencia en manufactura.

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Referencias


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DOI: https://doi.org/10.23857/pc.v9i8.7827

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