@article{LUO2026, 
author = {Jianxin LUO and Wei ZHANG and Liming LEI and Liang TAN and Changfeng YAO},
title = {Simulation and parametric modeling of residual stress field in shot peening of GH4169D superalloy},
year = {2026},
journal = {Journal of Aeronautical Materials},
volume = {46},
number = {8},
pages = {84-92},
keywords = {superalloy, shot peening, residual stress, finite element simulation, parametric modeling},
url = {https://www.sciopen.com/article/10.11868/j.issn.1005-5053.2026.000122},
doi = {10.11868/j.issn.1005-5053.2026.000122},
abstract = {Residual compressive stress is a critical factor affecting the performance and service life of components. The active introduction and precise control of residual compressive stress have become one of the core technical approaches to improve component reliability and extend service life. Aiming at the difficulties in optimizing shot peening process parameters and insufficient prediction accuracy of residual stress fields for GH4169D superalloy, this work adopts a combined simulation and experimental method for investigation. A multi-shot peening simulation model considering the random distribution characteristics of shot particles is established to analyze the material strain rate as well as the correlation between residual stress and plastic strain under various process conditions, and the accuracy of the random shot peening residual stress model is verified. Shot peening strengthening experiments are carried out based on the response surface methodology. The influence laws of different shot peening intensities and coverage rates on the depth distribution of the residual stress-affected layer are compared, and parametric modeling is performed for the depth distribution of the residual stress-affected layer. The results reveal that the cosine attenuation function can realize parametric modeling of residual stress fields of GH4169D superalloy under diverse shot peening processes, with the fitted determination coefficient R2 greater than 0.95. These findings provide an effective method for rapid optimization of shot peening strengthening processes and accurate modeling of residual stress fields of GH4169D superalloy.}
}