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Xie Huanjun, Xu Wei, Liu Shenggui, et al. Mechanism analysis and process parameter optimization of high-intensity shot peening for aerospace gears based on real rough tooth surfaces[J]. Journal of Aerospace Power, 2026, 41(X):20250593 doi: 10.13224/j.cnki.jasp.20250593
Citation: Xie Huanjun, Xu Wei, Liu Shenggui, et al. Mechanism analysis and process parameter optimization of high-intensity shot peening for aerospace gears based on real rough tooth surfaces[J]. Journal of Aerospace Power, 2026, 41(X):20250593 doi: 10.13224/j.cnki.jasp.20250593

Mechanism analysis and process parameter optimization of high-intensity shot peening for aerospace gears based on real rough tooth surfaces

doi: 10.13224/j.cnki.jasp.20250593
  • Received Date: 2025-12-18
    Available Online: 2026-05-16
  • An optimization method for shot peening parameters considering real rough tooth surfaces was proposed to meet the high strength and toughness requirements of high-performance aeronautical gears. A coupled finite element method-discrete element method (FEM-DEM) model incorporating ground surface topography was developed to investigate the effects of surface coverage, shot diameter, and shot peening intensity on shot peening performance. A three-factor (surface coverage, shot flow rate, air pressure) and three-level shot peening simulation scheme was designed using response surface methodology to achieve maximum residual compressive stress and minimum roughness. Polynomial models were established to analyze the interactions among these factors and their influence on shot peening effectiveness. The MS-NM algorithm was utilized to optimize the shot peening process with constraints on surface coverage, shot flow rate, and air pressure. The proposed process was then validated through simulations on different initial roughness models. The results showed that the prediction error between the response surface model and simulation results is less than 2%, indicating that the model can be effectively used for shot peening effect prediction and process optimization.

     

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