A Sensitivity Analysis Method of Shot Peening Parameters Based on Probabilistic Surface Damage Tolerance Assessment

Abstract

Enhanced life management methods have been developed by the Federal Aviation Administration to address the rare but significant threats posed by the manufacturing anomalies of aeroengine life-limited parts. The probabilistic damage tolerance assessment provides guidance for life management methods by requiring clarification on the effect of manufacturing on life-limited parts in the design stage. Shot peening, a typical manufacturing process, is frequently used to improve fatigue performance. In this study, a new method to correlate manufacturing with engineering that combines shot peening parameters with probabilistic surface damage tolerance assessment is proposed. Through the secondary development of the simulation’s pre-processing and post-processing, the results of residual stress are adopted as input variables of the modified probabilistic surface damage tolerance assessment to calculate the probability of failure, which is closely related to the selection of shot peening parameters. Accordingly, a new integrated model is developed for the sensitivity analysis by automating parametric modeling to improve efficiency and avoid complex workflows. Specifically, the parameters required for simulation are used as input, including the diameter, velocity, and number of shots; and the probability of failure and key parameter are used as output. Results of a sensitivity analysis case show that the probability of disk failure is reduced with the increase of shot peening parameters (number, diameter, speed), where the effect of the diameter is greater within a given range. Therefore, the method proposed in this study can efficiently and intuitively identify the key parameter in the design stage.