Influence of surface integrity on fatigue life of milling processing of thin walled titanium alloy blades

This study proposes a new method for predicting the fatigue life of precision milling TC17 compressor blades by quantitatively characterizing surface integrity through surface state features. We have established a quantitative fatigue life prediction model by systematically studying the influence of surface state characteristics generated by milling on crack initiation and propagation behavior, including surface roughness, residual stress, microhardness, and microstructure. This study combines surface state analysis with vibration fatigue testing, revealing the key mechanism by which surface state characteristics control fatigue performance. The developed model provides a practical tool for optimizing milling parameters to improve blade durability, and compared with traditional trial and error methods in aircraft engine manufacturing, the model has significant improvements.