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Predicción de la rugosidad superficial de materiales C355/nitruro de silicio/grafeno en composites híbridos mediante

Suresh Vellingiri1, Ravi Kumar Tata2, Sumalatha Manne3

  • 1Department of Mechanical Engineering, KIT-Kalaignarkarunanidhi Institute of Technology (Autonomous), Coimbatore, 641 402, Tamil Nadu, India. winsureshv2011@gmail.com.

Scientific reports
|February 26, 2026
PubMed
Resumen

Los modelos de aprendizaje automático predicen con precisión la rugosidad superficial en el mecanizado por descarga eléctrica con hilo (WEDM) de composites de aluminio híbridos. La regresión de vectores de soporte (SVR) mostró un rendimiento superior al analizar este proceso de fabricación avanzada.

Palabras clave:
ANNComposite HíbridoTécnicas de MLRSMSVRSimulaciónWEDM

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