All Outputs (2)

Chip Morphology Prediction in Inconel 718 Milling through Machine Learning to Control Surface Integrity (2024)
Presentation / Conference Contribution
Mypati, O., Dogan, H., Robles-Linares, J. A., Shokrani, A., & Liao, Z. (2024). Chip Morphology Prediction in Inconel 718 Milling through Machine Learning to Control Surface Integrity. Procedia CIRP, 123, 440-445. https://doi.org/10.1016/j.procir.2024.05.077

A nickel-based aerospace superalloy, Inconel 718 presents machining challenges because of its hardness and strength. Monitoring and predicting chip morphology during milling is essential for early defect detection and process optimisation. This study... Read More about Chip Morphology Prediction in Inconel 718 Milling through Machine Learning to Control Surface Integrity.

Machining SiC fibre reinforced metal matrix composites – How do different matrix materials affect the cutting performance? (2024)
Journal Article
Zan, S., Liao, Z., Mypati, O., Axinte, D., M'Saoubi, R., Walsh, M., & Robles-Linares, J. A. (2024). Machining SiC fibre reinforced metal matrix composites – How do different matrix materials affect the cutting performance?. CIRP Annals - Manufacturing Technology, 73(1), 53-56. https://doi.org/10.1016/j.cirp.2024.04.060

SiC fibre reinforced metal matrix composites find widespread application but show major machining difficulties due to significant variations in constituents' properties. In this sense, while the SiC fibre plays significant strengthening effects, the... Read More about Machining SiC fibre reinforced metal matrix composites – How do different matrix materials affect the cutting performance?.