Abstract
γ-TiAl alloy is a promising candidate to replace nickel-based superalloys in aircraft engines due to its low density and excellent high-temperature performance. However, optimizing its surface integrity through shot peening (SP) remains challenging due to induced defects. This study investigates the effects of different SP conditions on the surface integrity of γ-TiAl alloy and establishes empirical models linking SP parameters with surface characteristics. Results show that ceramic shots provide superior surface quality. Surface roughness and residual stress initially increase with SP intensity and coverage but decline at higher levels due to surface degradation. Empirical models developed via linear regression predict surface roughness, residual stress, and microhardness with errors within 23%, 33%, and 15%, respectively. The predicted in-depth profiles align closely with experimental results, demonstrating the models’ reliability and practical applicability in process optimization.
Original language | English |
---|---|
Article number | 167611 |
Journal | International Journal of Advanced Manufacturing Technology |
DOIs | |
State | Accepted/In press - 2025 |
Keywords
- Prediction model
- Residual stress
- Shot peening
- Surface integrity
- γ-TiAl alloy