A Deep Study on Machine Learning Techniques for Tool Condition Monitoring in Turning of Titanium-based Superalloys.

The current state-of-the-art review on tool condition monitoring for turning of titanium-based superalloys is presented in this paper. Titanium (Ti) are widely utilised aerospace industry, automobile petrochemical applications. Ti also used fabrication biomedical components due to their outstanding combination mechanical properties and strong corrosion resistance at extreme temperatures. But these difficult-to-cut because low heat conductivity, elastic modulus, high strength, chemical resistance. Literature highlights the drastic reduction life titanium highspeed feed rates throughout machining process. paper focuses (i) various reasons deploy monitoring; (ii) study methods based machine learning techniques identify ideal parameters prevention catastrophic failure.