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. Chip Morphology Prediction in Inconel 718 Milling through Machine Learning to Control Surface Integrity. Presented at 7th CIRP Conference on Surface Integrity, Bremen, Germany
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.